Clay's Almanac
Almanac — change team skin

Repaints the site's chrome in a team's colours. Predictions, grades and the colours on each game card are unchanged.

Almanac
NBA
WNBA
Log in Join

← Back to WNBA

Toronto Tempo at Washington Mystics

TOR 82 – WAS 93

August 19, 2026 · Final

Vince Chambers

Best model for this game

Vince Chambers
All models: 2-10
Prediction ranges

In 95 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 90 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 85 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 80 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 75 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

Confidence level for TOR at WAS

All 12 models’ predicted scores

TOR — one dot per model WAS — one dot per model Actual: TOR 82, WAS 93
Vince Chambers
TOR 80.4–86.4 WAS 81.3–85.5 Overlap 4.2 pts Actual: TOR 82, WAS 93

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 83.4) over Toronto Tempo (avg. 82.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

TOR 80.8–85.5 WAS 81.6–85.1 Overlap 3.5 pts Actual: TOR 82, WAS 93

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 83.4) over Toronto Tempo (avg. 82.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

TOR 81.1–84.6 WAS 81.8–84.8 Overlap 2.77 pts Actual: TOR 82, WAS 93

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 83.4) over Toronto Tempo (avg. 82.6) — by under a point. The ranges overlap some — there's real uncertainty here.

TOR 81.2–84.2 WAS 82.0–84.7 Overlap 2.19 pts Actual: TOR 82, WAS 93

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 83.4) over Toronto Tempo (avg. 82.6) — by under a point. The ranges overlap some — there's real uncertainty here.

TOR 81.3–84.1 WAS 82.2–84.6 Overlap 1.91 pts Actual: TOR 82, WAS 93

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 83.4) over Toronto Tempo (avg. 82.6) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Vince Chambers (#1)
t-statistic
-5.41
p-value
1.28e-07

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Reg
TOR 80.2–88.4 WAS 81.3–86.1 Overlap 4.73 pts Actual: TOR 82, WAS 93

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 83.7) over Toronto Tempo (avg. 83.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

TOR 80.6–87.5 WAS 81.7–85.7 Overlap 3.97 pts Actual: TOR 82, WAS 93

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 83.7) over Toronto Tempo (avg. 83.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

TOR 80.8–86.5 WAS 82.0–85.4 Overlap 3.48 pts Actual: TOR 82, WAS 93

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 83.7) over Toronto Tempo (avg. 83.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

TOR 81.2–86.0 WAS 82.2–85.2 Overlap 3.1 pts Actual: TOR 82, WAS 93

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 83.7) over Toronto Tempo (avg. 83.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

TOR 81.4–85.5 WAS 82.3–85.1 Overlap 2.78 pts Actual: TOR 82, WAS 93

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 83.7) over Toronto Tempo (avg. 83.3) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
-2.15
p-value
3.29e-02

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Dr. Wallace
TOR 80.3–87.8 WAS 80.8–85.8 Overlap 5.02 pts Actual: TOR 82, WAS 93

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 83.7) over Washington Mystics (avg. 83.5) — by under a point. The ranges overlap almost entirely, so one game could go either way.

TOR 81.0–87.2 WAS 81.3–85.4 Overlap 4.08 pts Actual: TOR 82, WAS 93

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 83.7) over Washington Mystics (avg. 83.5) — by under a point. The ranges overlap almost entirely, so one game could go either way.

TOR 81.2–87.1 WAS 81.6–85.0 Overlap 3.33 pts Actual: TOR 82, WAS 93

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 83.7) over Washington Mystics (avg. 83.5) — by under a point. The ranges overlap almost entirely, so one game could go either way.

TOR 81.3–86.8 WAS 81.9–84.8 Overlap 2.94 pts Actual: TOR 82, WAS 93

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 83.7) over Washington Mystics (avg. 83.5) — by under a point. The ranges overlap some — there's real uncertainty here.

TOR 81.4–86.4 WAS 82.1–84.7 Overlap 2.58 pts Actual: TOR 82, WAS 93

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 83.7) over Washington Mystics (avg. 83.5) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Wallace (#3)
t-statistic
1.24
p-value
2.17e-01

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Kevin
TOR 80.4–88.1 WAS 80.4–86.4 Overlap 5.98 pts Actual: TOR 82, WAS 93

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 84.6) over Washington Mystics (avg. 83.4) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

TOR 81.1–87.7 WAS 80.9–85.9 Overlap 4.85 pts Actual: TOR 82, WAS 93

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 84.6) over Washington Mystics (avg. 83.4) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

TOR 81.3–87.4 WAS 81.2–85.6 Overlap 4.31 pts Actual: TOR 82, WAS 93

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 84.6) over Washington Mystics (avg. 83.4) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

TOR 81.6–87.3 WAS 81.5–85.4 Overlap 3.76 pts Actual: TOR 82, WAS 93

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 84.6) over Washington Mystics (avg. 83.4) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

TOR 81.9–87.1 WAS 81.7–85.2 Overlap 3.3 pts Actual: TOR 82, WAS 93

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 84.6) over Washington Mystics (avg. 83.4) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Kevin (#4)
t-statistic
5.51
p-value
8.88e-08

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Dr. Lila Shah
TOR 81.1–87.9 WAS 79.3–86.2 Overlap 5.06 pts Actual: TOR 82, WAS 93

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 85.0) over Washington Mystics (avg. 82.8) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

TOR 81.3–87.7 WAS 79.9–85.6 Overlap 4.34 pts Actual: TOR 82, WAS 93

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 85.0) over Washington Mystics (avg. 82.8) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

TOR 81.7–87.4 WAS 80.2–85.3 Overlap 3.6 pts Actual: TOR 82, WAS 93

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 85.0) over Washington Mystics (avg. 82.8) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

TOR 82.1–87.2 WAS 80.5–85.0 Overlap 2.93 pts Actual: TOR 82, WAS 93

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 85.0) over Washington Mystics (avg. 82.8) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

TOR 82.2–87.0 WAS 80.7–84.8 Overlap 2.54 pts Actual: TOR 82, WAS 93

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 85.0) over Washington Mystics (avg. 82.8) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
10.92
p-value
1.49e-23

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Ice
TOR 82.2–88.4 WAS 80.0–85.7 Overlap 3.47 pts Actual: TOR 82, WAS 93

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 85.5) over Washington Mystics (avg. 83.2) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

TOR 82.3–87.7 WAS 80.4–85.5 Overlap 3.2 pts Actual: TOR 82, WAS 93

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 85.5) over Washington Mystics (avg. 83.2) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

TOR 82.7–87.5 WAS 80.7–85.3 Overlap 2.63 pts Actual: TOR 82, WAS 93

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 85.5) over Washington Mystics (avg. 83.2) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

TOR 83.0–87.3 WAS 80.9–85.2 Overlap 2.23 pts Actual: TOR 82, WAS 93

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 85.5) over Washington Mystics (avg. 83.2) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

TOR 83.4–87.2 WAS 81.3–85.1 Overlap 1.66 pts Actual: TOR 82, WAS 93

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 85.5) over Washington Mystics (avg. 83.2) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Ice (#6)
t-statistic
12.27
p-value
1.94e-28

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Jamal
TOR 81.9–88.1 WAS 79.6–86.2 Overlap 4.24 pts Actual: TOR 82, WAS 93

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 85.6) over Washington Mystics (avg. 83.1) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

TOR 82.2–88.0 WAS 79.9–85.7 Overlap 3.49 pts Actual: TOR 82, WAS 93

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 85.6) over Washington Mystics (avg. 83.1) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

TOR 82.5–87.8 WAS 80.3–85.3 Overlap 2.78 pts Actual: TOR 82, WAS 93

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 85.6) over Washington Mystics (avg. 83.1) — by 2.5 points. The ranges overlap some — there's real uncertainty here.

TOR 82.7–87.7 WAS 80.8–85.0 Overlap 2.26 pts Actual: TOR 82, WAS 93

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 85.6) over Washington Mystics (avg. 83.1) — by 2.5 points. The ranges overlap some — there's real uncertainty here.

TOR 83.2–87.5 WAS 81.0–84.8 Overlap 1.59 pts Actual: TOR 82, WAS 93

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 85.6) over Washington Mystics (avg. 83.1) — by 2.5 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jamal (#7)
t-statistic
12.78
p-value
2.50e-30

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Jordan
TOR 81.0–88.1 WAS 79.3–86.6 Overlap 5.54 pts Actual: TOR 82, WAS 93

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 85.3) over Washington Mystics (avg. 82.9) — by 2.3 points. The ranges overlap almost entirely, so one game could go either way.

TOR 81.8–87.8 WAS 79.9–86.0 Overlap 4.14 pts Actual: TOR 82, WAS 93

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 85.3) over Washington Mystics (avg. 82.9) — by 2.3 points. The ranges overlap almost entirely, so one game could go either way.

TOR 82.6–87.4 WAS 80.3–85.6 Overlap 2.99 pts Actual: TOR 82, WAS 93

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 85.3) over Washington Mystics (avg. 82.9) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

TOR 83.3–87.2 WAS 80.6–85.3 Overlap 2.0 pts Actual: TOR 82, WAS 93

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 85.3) over Washington Mystics (avg. 82.9) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

TOR 83.5–87.0 WAS 80.8–85.1 Overlap 1.56 pts Actual: TOR 82, WAS 93

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 85.3) over Washington Mystics (avg. 82.9) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jordan (#8)
t-statistic
12.21
p-value
2.90e-28

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Darren "Dimes" Lin
TOR 81.0–88.1 WAS 79.4–86.4 Overlap 5.4 pts Actual: TOR 82, WAS 93

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 85.4) over Washington Mystics (avg. 82.9) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

TOR 82.6–87.7 WAS 80.0–85.9 Overlap 3.31 pts Actual: TOR 82, WAS 93

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 85.4) over Washington Mystics (avg. 82.9) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

TOR 83.2–87.5 WAS 80.3–85.5 Overlap 2.34 pts Actual: TOR 82, WAS 93

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 85.4) over Washington Mystics (avg. 82.9) — by 2.5 points. The ranges overlap some — there's real uncertainty here.

TOR 83.3–87.2 WAS 80.6–85.2 Overlap 1.93 pts Actual: TOR 82, WAS 93

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 85.4) over Washington Mystics (avg. 82.9) — by 2.5 points. The ranges overlap some — there's real uncertainty here.

TOR 83.5–87.1 WAS 80.8–85.0 Overlap 1.48 pts Actual: TOR 82, WAS 93

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 85.4) over Washington Mystics (avg. 82.9) — by 2.5 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
13.68
p-value
1.14e-33

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Maya Jefferson
TOR 81.2–87.7 WAS 79.4–86.2 Overlap 5.01 pts Actual: TOR 82, WAS 93

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 84.9) over Washington Mystics (avg. 82.8) — by 2.1 points. The ranges overlap almost entirely, so one game could go either way.

TOR 82.2–87.3 WAS 79.9–85.7 Overlap 3.52 pts Actual: TOR 82, WAS 93

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 84.9) over Washington Mystics (avg. 82.8) — by 2.1 points. The ranges overlap almost entirely, so one game could go either way.

TOR 82.4–87.0 WAS 80.3–85.3 Overlap 2.95 pts Actual: TOR 82, WAS 93

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 84.9) over Washington Mystics (avg. 82.8) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

TOR 82.5–86.8 WAS 80.5–85.1 Overlap 2.52 pts Actual: TOR 82, WAS 93

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 84.9) over Washington Mystics (avg. 82.8) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

TOR 82.7–86.7 WAS 80.8–84.8 Overlap 2.12 pts Actual: TOR 82, WAS 93

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 84.9) over Washington Mystics (avg. 82.8) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Maya Jefferson (#10)
t-statistic
11.12
p-value
2.28e-24

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Lexi
TOR 79.9–88.4 WAS 79.6–86.1 Overlap 6.18 pts Actual: TOR 82, WAS 93

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 84.2) over Washington Mystics (avg. 82.8) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

TOR 80.6–87.7 WAS 80.1–85.6 Overlap 4.97 pts Actual: TOR 82, WAS 93

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 84.2) over Washington Mystics (avg. 82.8) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

TOR 81.0–87.3 WAS 80.4–85.2 Overlap 4.19 pts Actual: TOR 82, WAS 93

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 84.2) over Washington Mystics (avg. 82.8) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

TOR 81.4–87.0 WAS 80.7–85.0 Overlap 3.58 pts Actual: TOR 82, WAS 93

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 84.2) over Washington Mystics (avg. 82.8) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

TOR 81.7–86.7 WAS 80.9–84.7 Overlap 3.08 pts Actual: TOR 82, WAS 93

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 84.2) over Washington Mystics (avg. 82.8) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Lexi (#11)
t-statistic
6.74
p-value
8.39e-11

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Coach Sarah Watanabe
TOR 80.7–88.4 WAS 81.8–87.1 Overlap 5.32 pts Actual: TOR 82, WAS 93

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 84.5) over Washington Mystics (avg. 84.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

TOR 81.3–87.8 WAS 82.0–86.7 Overlap 4.71 pts Actual: TOR 82, WAS 93

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 84.5) over Washington Mystics (avg. 84.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

TOR 81.7–87.3 WAS 82.2–86.2 Overlap 3.96 pts Actual: TOR 82, WAS 93

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 84.5) over Washington Mystics (avg. 84.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

TOR 82.0–87.0 WAS 82.4–85.8 Overlap 3.39 pts Actual: TOR 82, WAS 93

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 84.5) over Washington Mystics (avg. 84.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

TOR 82.2–86.8 WAS 82.5–85.4 Overlap 2.94 pts Actual: TOR 82, WAS 93

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 84.5) over Washington Mystics (avg. 84.2) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
1.82
p-value
7.00e-02

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

View as table
Vince Chambers — TOR at WAS — Actual: TOR 82, WAS 93
Level TOR range WAS range Overlap Tol Warning Actual landed in range?
95% 80.4–86.4 81.3–85.5 4.2 pts No
90% 80.8–85.5 81.6–85.1 3.5 pts No
85% 81.1–84.6 81.8–84.8 2.77 pts No
80% 81.2–84.2 82.0–84.7 2.19 pts No
75% 81.3–84.1 82.2–84.6 1.91 pts No
Reg — TOR at WAS — Actual: TOR 82, WAS 93
Level TOR range WAS range Overlap Tol Warning Actual landed in range?
95% 80.2–88.4 81.3–86.1 4.73 pts No
90% 80.6–87.5 81.7–85.7 3.97 pts No
85% 80.8–86.5 82.0–85.4 3.48 pts No
80% 81.2–86.0 82.2–85.2 3.1 pts No
75% 81.4–85.5 82.3–85.1 2.78 pts No
Dr. Wallace — TOR at WAS — Actual: TOR 82, WAS 93
Level TOR range WAS range Overlap Tol Warning Actual landed in range?
95% 80.3–87.8 80.8–85.8 5.02 pts No
90% 81.0–87.2 81.3–85.4 4.08 pts No
85% 81.2–87.1 81.6–85.0 3.33 pts No
80% 81.3–86.8 81.9–84.8 2.94 pts No
75% 81.4–86.4 82.1–84.7 2.58 pts No
Kevin — TOR at WAS — Actual: TOR 82, WAS 93
Level TOR range WAS range Overlap Tol Warning Actual landed in range?
95% 80.4–88.1 80.4–86.4 5.98 pts No
90% 81.1–87.7 80.9–85.9 4.85 pts No
85% 81.3–87.4 81.2–85.6 4.31 pts No
80% 81.6–87.3 81.5–85.4 3.76 pts No
75% 81.9–87.1 81.7–85.2 3.3 pts No
Dr. Lila Shah — TOR at WAS — Actual: TOR 82, WAS 93
Level TOR range WAS range Overlap Tol Warning Actual landed in range?
95% 81.1–87.9 79.3–86.2 5.06 pts No
90% 81.3–87.7 79.9–85.6 4.34 pts No
85% 81.7–87.4 80.2–85.3 3.6 pts No
80% 82.1–87.2 80.5–85.0 2.93 pts No
75% 82.2–87.0 80.7–84.8 2.54 pts No
Ice — TOR at WAS — Actual: TOR 82, WAS 93
Level TOR range WAS range Overlap Tol Warning Actual landed in range?
95% 82.2–88.4 80.0–85.7 3.47 pts No
90% 82.3–87.7 80.4–85.5 3.2 pts No
85% 82.7–87.5 80.7–85.3 2.63 pts No
80% 83.0–87.3 80.9–85.2 2.23 pts No
75% 83.4–87.2 81.3–85.1 1.66 pts No
Jamal — TOR at WAS — Actual: TOR 82, WAS 93
Level TOR range WAS range Overlap Tol Warning Actual landed in range?
95% 81.9–88.1 79.6–86.2 4.24 pts No
90% 82.2–88.0 79.9–85.7 3.49 pts No
85% 82.5–87.8 80.3–85.3 2.78 pts No
80% 82.7–87.7 80.8–85.0 2.26 pts No
75% 83.2–87.5 81.0–84.8 1.59 pts No
Jordan — TOR at WAS — Actual: TOR 82, WAS 93
Level TOR range WAS range Overlap Tol Warning Actual landed in range?
95% 81.0–88.1 79.3–86.6 5.54 pts No
90% 81.8–87.8 79.9–86.0 4.14 pts No
85% 82.6–87.4 80.3–85.6 2.99 pts No
80% 83.3–87.2 80.6–85.3 2.0 pts No
75% 83.5–87.0 80.8–85.1 1.56 pts No
Darren "Dimes" Lin — TOR at WAS — Actual: TOR 82, WAS 93
Level TOR range WAS range Overlap Tol Warning Actual landed in range?
95% 81.0–88.1 79.4–86.4 5.4 pts No
90% 82.6–87.7 80.0–85.9 3.31 pts No
85% 83.2–87.5 80.3–85.5 2.34 pts No
80% 83.3–87.2 80.6–85.2 1.93 pts No
75% 83.5–87.1 80.8–85.0 1.48 pts No
Maya Jefferson — TOR at WAS — Actual: TOR 82, WAS 93
Level TOR range WAS range Overlap Tol Warning Actual landed in range?
95% 81.2–87.7 79.4–86.2 5.01 pts No
90% 82.2–87.3 79.9–85.7 3.52 pts No
85% 82.4–87.0 80.3–85.3 2.95 pts No
80% 82.5–86.8 80.5–85.1 2.52 pts No
75% 82.7–86.7 80.8–84.8 2.12 pts No
Lexi — TOR at WAS — Actual: TOR 82, WAS 93
Level TOR range WAS range Overlap Tol Warning Actual landed in range?
95% 79.9–88.4 79.6–86.1 6.18 pts No
90% 80.6–87.7 80.1–85.6 4.97 pts No
85% 81.0–87.3 80.4–85.2 4.19 pts No
80% 81.4–87.0 80.7–85.0 3.58 pts No
75% 81.7–86.7 80.9–84.7 3.08 pts No
Coach Sarah Watanabe — TOR at WAS — Actual: TOR 82, WAS 93
Level TOR range WAS range Overlap Tol Warning Actual landed in range?
95% 80.7–88.4 81.8–87.1 5.32 pts No
90% 81.3–87.8 82.0–86.7 4.71 pts No
85% 81.7–87.3 82.2–86.2 3.96 pts No
80% 82.0–87.0 82.4–85.8 3.39 pts No
75% 82.2–86.8 82.5–85.4 2.94 pts No