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Atlanta Dream at Toronto Tempo

ATL 111 – TOR 92

July 17, 2026 · Final

Reg

Best model for this game

Reg
All models: 0-12
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 ATL at TOR

All 12 models’ predicted scores

ATL — one dot per model TOR — one dot per model Actual: ATL 111, TOR 92
Vince Chambers
ATL 84.1–88.3 TOR 84.7–88.2 Overlap 3.57 pts Actual: ATL 111, TOR 92

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.7–87.9 TOR 85.0–88.0 Overlap 2.92 pts Actual: ATL 111, TOR 92

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 84.9–87.8 TOR 85.1–87.8 Overlap 2.61 pts Actual: ATL 111, TOR 92

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 85.1–87.5 TOR 85.3–87.6 Overlap 2.19 pts Actual: ATL 111, TOR 92

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 85.3–87.2 TOR 85.4–87.5 Overlap 1.78 pts Actual: ATL 111, TOR 92

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Vince Chambers (#1)
t-statistic
-1.74
p-value
8.41e-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.

Reg
ATL 84.0–88.8 TOR 84.1–88.9 Overlap 4.7 pts Actual: ATL 111, TOR 92

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.4) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.4–88.4 TOR 84.5–88.5 Overlap 3.93 pts Actual: ATL 111, TOR 92

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.4) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.7–88.1 TOR 84.7–88.3 Overlap 3.43 pts Actual: ATL 111, TOR 92

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.4) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.9–88.0 TOR 84.9–88.1 Overlap 3.05 pts Actual: ATL 111, TOR 92

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.4) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 85.0–87.8 TOR 85.1–87.9 Overlap 2.73 pts Actual: ATL 111, TOR 92

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.4) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
-0.56
p-value
5.77e-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.

Dr. Wallace
ATL 84.1–88.5 TOR 84.5–88.4 Overlap 3.95 pts Actual: ATL 111, TOR 92

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.4–88.1 TOR 84.8–88.1 Overlap 3.31 pts Actual: ATL 111, TOR 92

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.7–87.9 TOR 85.0–87.9 Overlap 2.9 pts Actual: ATL 111, TOR 92

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 84.8–87.7 TOR 85.1–87.7 Overlap 2.58 pts Actual: ATL 111, TOR 92

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 85.0–87.6 TOR 85.3–87.6 Overlap 2.3 pts Actual: ATL 111, TOR 92

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-1.12
p-value
2.65e-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
ATL 84.6–88.2 TOR 84.6–88.3 Overlap 3.59 pts Actual: ATL 111, TOR 92

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.9–88.0 TOR 84.9–88.0 Overlap 3.08 pts Actual: ATL 111, TOR 92

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 85.2–87.9 TOR 85.1–87.8 Overlap 2.58 pts Actual: ATL 111, TOR 92

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 85.3–87.3 TOR 85.2–87.6 Overlap 2.0 pts Actual: ATL 111, TOR 92

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 85.4–87.1 TOR 85.4–87.5 Overlap 1.68 pts Actual: ATL 111, TOR 92

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Kevin (#4)
t-statistic
-1.25
p-value
2.14e-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.

Dr. Lila Shah
ATL 84.2–88.4 TOR 84.5–88.6 Overlap 3.98 pts Actual: ATL 111, TOR 92

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.5–88.1 TOR 84.8–88.3 Overlap 3.3 pts Actual: ATL 111, TOR 92

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.7–87.9 TOR 85.0–88.1 Overlap 2.86 pts Actual: ATL 111, TOR 92

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 84.9–87.7 TOR 85.2–87.9 Overlap 2.52 pts Actual: ATL 111, TOR 92

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 85.0–87.6 TOR 85.3–87.8 Overlap 2.24 pts Actual: ATL 111, TOR 92

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-1.79
p-value
7.48e-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.

Ice
ATL 84.2–88.5 TOR 84.8–88.1 Overlap 3.26 pts Actual: ATL 111, TOR 92

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.4) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.5–88.2 TOR 85.1–87.9 Overlap 2.78 pts Actual: ATL 111, TOR 92

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.4) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 84.8–87.9 TOR 85.2–87.8 Overlap 2.59 pts Actual: ATL 111, TOR 92

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.4) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 84.9–87.8 TOR 85.3–87.6 Overlap 2.24 pts Actual: ATL 111, TOR 92

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.4) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 85.1–87.6 TOR 85.4–87.5 Overlap 2.07 pts Actual: ATL 111, TOR 92

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.4) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Ice (#6)
t-statistic
-1.28
p-value
2.03e-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.

Jamal
ATL 84.0–88.4 TOR 84.4–88.4 Overlap 3.95 pts Actual: ATL 111, TOR 92

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.4–88.1 TOR 84.8–88.1 Overlap 3.3 pts Actual: ATL 111, TOR 92

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.6–87.8 TOR 85.0–87.9 Overlap 2.86 pts Actual: ATL 111, TOR 92

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 84.8–87.7 TOR 85.1–87.7 Overlap 2.52 pts Actual: ATL 111, TOR 92

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 84.9–87.5 TOR 85.3–87.6 Overlap 2.24 pts Actual: ATL 111, TOR 92

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.4) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jamal (#7)
t-statistic
-1.61
p-value
1.10e-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.

Jordan
ATL 84.1–88.4 TOR 84.4–88.6 Overlap 3.99 pts Actual: ATL 111, TOR 92

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.4–88.1 TOR 84.8–88.3 Overlap 3.31 pts Actual: ATL 111, TOR 92

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.7–87.9 TOR 85.0–88.0 Overlap 2.86 pts Actual: ATL 111, TOR 92

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 84.8–87.7 TOR 85.2–87.9 Overlap 2.52 pts Actual: ATL 111, TOR 92

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 85.0–87.5 TOR 85.3–87.7 Overlap 2.24 pts Actual: ATL 111, TOR 92

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jordan (#8)
t-statistic
-1.86
p-value
6.50e-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.

Darren "Dimes" Lin
ATL 84.0–88.7 TOR 85.1–88.9 Overlap 3.57 pts Actual: ATL 111, TOR 92

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.6) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.4–88.3 TOR 85.1–88.0 Overlap 2.9 pts Actual: ATL 111, TOR 92

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.6) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 84.6–88.0 TOR 85.3–87.8 Overlap 2.58 pts Actual: ATL 111, TOR 92

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.6) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 84.8–87.9 TOR 85.3–87.7 Overlap 2.35 pts Actual: ATL 111, TOR 92

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.6) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 85.0–87.7 TOR 85.4–87.6 Overlap 2.23 pts Actual: ATL 111, TOR 92

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.6) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
-1.86
p-value
6.45e-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.

Maya Jefferson
ATL 84.2–88.4 TOR 84.4–88.6 Overlap 3.93 pts Actual: ATL 111, TOR 92

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.5–88.0 TOR 84.8–88.3 Overlap 3.26 pts Actual: ATL 111, TOR 92

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.8–87.8 TOR 85.0–88.0 Overlap 2.83 pts Actual: ATL 111, TOR 92

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 84.9–87.6 TOR 85.1–87.9 Overlap 2.49 pts Actual: ATL 111, TOR 92

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 85.1–87.5 TOR 85.3–87.7 Overlap 2.21 pts Actual: ATL 111, TOR 92

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-1.74
p-value
8.37e-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.

Lexi
ATL 84.3–88.2 TOR 84.5–88.4 Overlap 3.66 pts Actual: ATL 111, TOR 92

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.6–87.9 TOR 84.8–88.1 Overlap 3.04 pts Actual: ATL 111, TOR 92

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

ATL 84.8–87.7 TOR 85.0–87.9 Overlap 2.63 pts Actual: ATL 111, TOR 92

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 85.0–87.5 TOR 85.2–87.7 Overlap 2.32 pts Actual: ATL 111, TOR 92

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

ATL 85.1–87.4 TOR 85.3–87.6 Overlap 2.06 pts Actual: ATL 111, TOR 92

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.5) over Atlanta Dream (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Lexi (#11)
t-statistic
-1.67
p-value
9.68e-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.

Coach Sarah Watanabe
ATL 82.1–87.4 TOR 83.7–88.6 Overlap 3.65 pts Actual: ATL 111, TOR 92

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.2) over Atlanta Dream (avg. 84.8) — by 1.4 points. The ranges overlap almost entirely, so one game could go either way.

ATL 82.6–87.0 TOR 84.1–88.2 Overlap 2.84 pts Actual: ATL 111, TOR 92

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.2) over Atlanta Dream (avg. 84.8) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

ATL 82.8–86.7 TOR 84.4–88.0 Overlap 2.31 pts Actual: ATL 111, TOR 92

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.2) over Atlanta Dream (avg. 84.8) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

ATL 83.0–86.5 TOR 84.6–87.8 Overlap 1.9 pts Actual: ATL 111, TOR 92

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.2) over Atlanta Dream (avg. 84.8) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

ATL 83.2–86.3 TOR 84.7–87.6 Overlap 1.56 pts Actual: ATL 111, TOR 92

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.2) over Atlanta Dream (avg. 84.8) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-8.71
p-value
1.32e-15

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 — ATL at TOR — Actual: ATL 111, TOR 92
Level ATL range TOR range Overlap Tol Warning Actual landed in range?
95% 84.1–88.3 84.7–88.2 3.57 pts — No
90% 84.7–87.9 85.0–88.0 2.92 pts — No
85% 84.9–87.8 85.1–87.8 2.61 pts — No
80% 85.1–87.5 85.3–87.6 2.19 pts — No
75% 85.3–87.2 85.4–87.5 1.78 pts — No
Reg — ATL at TOR — Actual: ATL 111, TOR 92
Level ATL range TOR range Overlap Tol Warning Actual landed in range?
95% 84.0–88.8 84.1–88.9 4.7 pts — No
90% 84.4–88.4 84.5–88.5 3.93 pts — No
85% 84.7–88.1 84.7–88.3 3.43 pts — No
80% 84.9–88.0 84.9–88.1 3.05 pts — No
75% 85.0–87.8 85.1–87.9 2.73 pts — No
Dr. Wallace — ATL at TOR — Actual: ATL 111, TOR 92
Level ATL range TOR range Overlap Tol Warning Actual landed in range?
95% 84.1–88.5 84.5–88.4 3.95 pts — No
90% 84.4–88.1 84.8–88.1 3.31 pts — No
85% 84.7–87.9 85.0–87.9 2.9 pts — No
80% 84.8–87.7 85.1–87.7 2.58 pts — No
75% 85.0–87.6 85.3–87.6 2.3 pts — No
Kevin — ATL at TOR — Actual: ATL 111, TOR 92
Level ATL range TOR range Overlap Tol Warning Actual landed in range?
95% 84.6–88.2 84.6–88.3 3.59 pts — No
90% 84.9–88.0 84.9–88.0 3.08 pts — No
85% 85.2–87.9 85.1–87.8 2.58 pts — No
80% 85.3–87.3 85.2–87.6 2.0 pts — No
75% 85.4–87.1 85.4–87.5 1.68 pts — No
Dr. Lila Shah — ATL at TOR — Actual: ATL 111, TOR 92
Level ATL range TOR range Overlap Tol Warning Actual landed in range?
95% 84.2–88.4 84.5–88.6 3.98 pts — No
90% 84.5–88.1 84.8–88.3 3.3 pts — No
85% 84.7–87.9 85.0–88.1 2.86 pts — No
80% 84.9–87.7 85.2–87.9 2.52 pts — No
75% 85.0–87.6 85.3–87.8 2.24 pts — No
Ice — ATL at TOR — Actual: ATL 111, TOR 92
Level ATL range TOR range Overlap Tol Warning Actual landed in range?
95% 84.2–88.5 84.8–88.1 3.26 pts — No
90% 84.5–88.2 85.1–87.9 2.78 pts — No
85% 84.8–87.9 85.2–87.8 2.59 pts — No
80% 84.9–87.8 85.3–87.6 2.24 pts — No
75% 85.1–87.6 85.4–87.5 2.07 pts — No
Jamal — ATL at TOR — Actual: ATL 111, TOR 92
Level ATL range TOR range Overlap Tol Warning Actual landed in range?
95% 84.0–88.4 84.4–88.4 3.95 pts — No
90% 84.4–88.1 84.8–88.1 3.3 pts — No
85% 84.6–87.8 85.0–87.9 2.86 pts — No
80% 84.8–87.7 85.1–87.7 2.52 pts — No
75% 84.9–87.5 85.3–87.6 2.24 pts — No
Jordan — ATL at TOR — Actual: ATL 111, TOR 92
Level ATL range TOR range Overlap Tol Warning Actual landed in range?
95% 84.1–88.4 84.4–88.6 3.99 pts — No
90% 84.4–88.1 84.8–88.3 3.31 pts — No
85% 84.7–87.9 85.0–88.0 2.86 pts — No
80% 84.8–87.7 85.2–87.9 2.52 pts — No
75% 85.0–87.5 85.3–87.7 2.24 pts — No
Darren "Dimes" Lin — ATL at TOR — Actual: ATL 111, TOR 92
Level ATL range TOR range Overlap Tol Warning Actual landed in range?
95% 84.0–88.7 85.1–88.9 3.57 pts — No
90% 84.4–88.3 85.1–88.0 2.9 pts — No
85% 84.6–88.0 85.3–87.8 2.58 pts — No
80% 84.8–87.9 85.3–87.7 2.35 pts — No
75% 85.0–87.7 85.4–87.6 2.23 pts — No
Maya Jefferson — ATL at TOR — Actual: ATL 111, TOR 92
Level ATL range TOR range Overlap Tol Warning Actual landed in range?
95% 84.2–88.4 84.4–88.6 3.93 pts — No
90% 84.5–88.0 84.8–88.3 3.26 pts — No
85% 84.8–87.8 85.0–88.0 2.83 pts — No
80% 84.9–87.6 85.1–87.9 2.49 pts — No
75% 85.1–87.5 85.3–87.7 2.21 pts — No
Lexi — ATL at TOR — Actual: ATL 111, TOR 92
Level ATL range TOR range Overlap Tol Warning Actual landed in range?
95% 84.3–88.2 84.5–88.4 3.66 pts — No
90% 84.6–87.9 84.8–88.1 3.04 pts — No
85% 84.8–87.7 85.0–87.9 2.63 pts — No
80% 85.0–87.5 85.2–87.7 2.32 pts — No
75% 85.1–87.4 85.3–87.6 2.06 pts — No
Coach Sarah Watanabe — ATL at TOR — Actual: ATL 111, TOR 92
Level ATL range TOR range Overlap Tol Warning Actual landed in range?
95% 82.1–87.4 83.7–88.6 3.65 pts — No
90% 82.6–87.0 84.1–88.2 2.84 pts — No
85% 82.8–86.7 84.4–88.0 2.31 pts — No
80% 83.0–86.5 84.6–87.8 1.9 pts — No
75% 83.2–86.3 84.7–87.6 1.56 pts — No