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Dallas Wings at Toronto Tempo

DAL 108 – TOR 95

July 10, 2026 · Final

Coach Sarah Watanabe

Best model for this game

Coach Sarah Watanabe
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 DAL at TOR

All 12 models’ predicted scores

DAL — one dot per model TOR — one dot per model Actual: DAL 108, TOR 95
Vince Chambers
DAL 83.2–86.8 TOR 84.5–89.5 Overlap 2.25 pts Actual: DAL 108, TOR 95

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 85.0) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

DAL 83.5–86.5 TOR 84.9–89.1 Overlap 1.61 pts Actual: DAL 108, TOR 95

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 85.0) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

DAL 83.5–86.1 TOR 85.2–88.8 Overlap 0.93 pts Actual: DAL 108, TOR 95

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 85.0) — by 2.0 points. The ranges barely touch.

DAL 83.6–86.0 TOR 85.4–88.6 Overlap 0.65 pts Actual: DAL 108, TOR 95

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 85.0) — by 2.0 points. The ranges barely touch.

DAL 83.6–86.0 TOR 85.5–88.4 Overlap 0.42 pts Actual: DAL 108, TOR 95

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 85.0) — by 2.0 points. The ranges barely touch.

Show the math
Model
Vince Chambers (#1)
t-statistic
-12.36
p-value
2.34e-26

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
DAL 82.4–87.8 TOR 85.5–89.7 Overlap 2.31 pts Actual: DAL 108, TOR 95

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 85.0) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

DAL 82.8–87.3 TOR 85.7–89.0 Overlap 1.68 pts Actual: DAL 108, TOR 95

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 85.0) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.1–87.0 TOR 85.7–88.8 Overlap 1.36 pts Actual: DAL 108, TOR 95

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 85.0) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.3–86.8 TOR 85.8–88.7 Overlap 1.04 pts Actual: DAL 108, TOR 95

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 85.0) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.5–86.6 TOR 85.9–88.4 Overlap 0.74 pts Actual: DAL 108, TOR 95

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 85.0) — by 2.1 points. The ranges barely touch.

Show the math
Model
Reg (#2)
t-statistic
-12.84
p-value
8.58e-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.

Dr. Wallace
DAL 83.6–86.2 TOR 85.2–88.8 Overlap 1.02 pts Actual: DAL 108, TOR 95

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.9) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.9–86.1 TOR 85.8–88.4 Overlap 0.21 pts Actual: DAL 108, TOR 95

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.9) — by 2.1 points. The ranges barely touch.

DAL 83.9–85.9 TOR 86.0–88.1 No overlap Actual: DAL 108, TOR 95

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.9) — by 2.1 points. The 85% ranges don't overlap at all — a confident model.

DAL 84.0–85.8 TOR 86.1–88.0 No overlap Actual: DAL 108, TOR 95

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.9) — by 2.1 points. The 80% ranges don't overlap at all — a confident model.

DAL 84.1–85.8 TOR 86.1–87.9 No overlap Actual: DAL 108, TOR 95

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.9) — by 2.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-17.73
p-value
4.02e-42

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
DAL 82.9–87.3 TOR 85.5–88.9 Overlap 1.88 pts Actual: DAL 108, TOR 95

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 85.1) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.2–87.0 TOR 85.7–88.6 Overlap 1.24 pts Actual: DAL 108, TOR 95

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 85.1) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.5–86.7 TOR 85.9–88.5 Overlap 0.82 pts Actual: DAL 108, TOR 95

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 85.1) — by 2.1 points. The ranges barely touch.

DAL 83.6–86.6 TOR 86.1–88.3 Overlap 0.5 pts Actual: DAL 108, TOR 95

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 85.1) — by 2.1 points. The ranges barely touch.

DAL 83.8–86.4 TOR 86.2–88.2 Overlap 0.24 pts Actual: DAL 108, TOR 95

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 85.1) — by 2.1 points. The ranges barely touch.

Show the math
Model
Kevin (#4)
t-statistic
-16.39
p-value
9.68e-38

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
DAL 83.5–86.6 TOR 85.1–89.1 Overlap 1.57 pts Actual: DAL 108, TOR 95

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 84.8) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

DAL 83.7–86.2 TOR 85.4–88.8 Overlap 0.8 pts Actual: DAL 108, TOR 95

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 84.8) — by 2.3 points. The ranges barely touch.

DAL 83.8–85.9 TOR 85.6–88.6 Overlap 0.3 pts Actual: DAL 108, TOR 95

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 84.8) — by 2.3 points. The ranges barely touch.

DAL 83.9–85.7 TOR 85.8–88.4 No overlap Actual: DAL 108, TOR 95

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 84.8) — by 2.3 points. The 80% ranges don't overlap at all — a confident model.

DAL 83.9–85.7 TOR 85.9–88.3 No overlap Actual: DAL 108, TOR 95

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 84.8) — by 2.3 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-18.84
p-value
1.43e-45

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
DAL 83.1–86.3 TOR 85.2–88.8 Overlap 1.16 pts Actual: DAL 108, TOR 95

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.7) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

DAL 83.4–86.1 TOR 85.5–88.5 Overlap 0.63 pts Actual: DAL 108, TOR 95

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.7) — by 2.3 points. The ranges barely touch.

DAL 83.6–85.9 TOR 85.7–88.3 Overlap 0.26 pts Actual: DAL 108, TOR 95

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.7) — by 2.3 points. The ranges barely touch.

DAL 83.7–85.7 TOR 85.8–88.2 No overlap Actual: DAL 108, TOR 95

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.7) — by 2.3 points. The 80% ranges don't overlap at all — a confident model.

DAL 83.8–85.7 TOR 85.9–88.1 No overlap Actual: DAL 108, TOR 95

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.7) — by 2.3 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Ice (#6)
t-statistic
-18.40
p-value
3.39e-44

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
DAL 82.9–87.1 TOR 85.2–89.1 Overlap 1.93 pts Actual: DAL 108, TOR 95

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 85.0) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.2–86.8 TOR 85.5–88.7 Overlap 1.28 pts Actual: DAL 108, TOR 95

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 85.0) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.5–86.6 TOR 85.7–88.5 Overlap 0.86 pts Actual: DAL 108, TOR 95

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 85.0) — by 2.1 points. The ranges barely touch.

DAL 83.6–86.4 TOR 85.8–88.4 Overlap 0.53 pts Actual: DAL 108, TOR 95

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 85.0) — by 2.1 points. The ranges barely touch.

DAL 83.8–86.2 TOR 86.0–88.3 Overlap 0.26 pts Actual: DAL 108, TOR 95

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 85.0) — by 2.1 points. The ranges barely touch.

Show the math
Model
Jamal (#7)
t-statistic
-16.34
p-value
3.18e-38

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
DAL 82.5–86.5 TOR 85.1–89.2 Overlap 1.43 pts Actual: DAL 108, TOR 95

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 84.8) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

DAL 83.3–86.1 TOR 85.4–88.8 Overlap 0.62 pts Actual: DAL 108, TOR 95

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 84.8) — by 2.3 points. The ranges barely touch.

DAL 83.6–85.9 TOR 85.6–88.6 Overlap 0.25 pts Actual: DAL 108, TOR 95

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 84.8) — by 2.3 points. The ranges barely touch.

DAL 83.8–85.8 TOR 85.8–88.5 Overlap 0.01 pts Actual: DAL 108, TOR 95

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 84.8) — by 2.3 points. The ranges barely touch.

DAL 83.9–85.7 TOR 85.9–88.3 No overlap Actual: DAL 108, TOR 95

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 87.1) over Dallas Wings (avg. 84.8) — by 2.3 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jordan (#8)
t-statistic
-17.72
p-value
2.13e-42

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
DAL 82.8–87.1 TOR 85.3–89.0 Overlap 1.75 pts Actual: DAL 108, TOR 95

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 84.9) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

DAL 83.2–86.7 TOR 85.6–88.7 Overlap 1.11 pts Actual: DAL 108, TOR 95

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 84.9) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

DAL 83.4–86.5 TOR 85.8–88.5 Overlap 0.69 pts Actual: DAL 108, TOR 95

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 84.9) — by 2.2 points. The ranges barely touch.

DAL 83.6–86.3 TOR 85.9–88.4 Overlap 0.37 pts Actual: DAL 108, TOR 95

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 84.9) — by 2.2 points. The ranges barely touch.

DAL 83.7–86.2 TOR 86.1–88.3 Overlap 0.11 pts Actual: DAL 108, TOR 95

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 87.2) over Dallas Wings (avg. 84.9) — by 2.2 points. The ranges barely touch.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
-17.52
p-value
1.29e-41

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
DAL 83.0–87.4 TOR 85.4–88.6 Overlap 1.97 pts Actual: DAL 108, TOR 95

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.9) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.1–86.2 TOR 85.8–88.5 Overlap 0.48 pts Actual: DAL 108, TOR 95

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.9) — by 2.1 points. The ranges barely touch.

DAL 83.5–86.2 TOR 85.9–88.4 Overlap 0.31 pts Actual: DAL 108, TOR 95

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.9) — by 2.1 points. The ranges barely touch.

DAL 83.6–86.1 TOR 86.0–88.1 Overlap 0.06 pts Actual: DAL 108, TOR 95

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.9) — by 2.1 points. The ranges barely touch.

DAL 83.9–85.8 TOR 86.0–88.0 No overlap Actual: DAL 108, TOR 95

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 87.0) over Dallas Wings (avg. 84.9) — by 2.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-15.09
p-value
1.73e-34

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
DAL 82.8–86.8 TOR 85.0–88.8 Overlap 1.81 pts Actual: DAL 108, TOR 95

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.9) over Dallas Wings (avg. 84.8) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.1–86.5 TOR 85.3–88.5 Overlap 1.18 pts Actual: DAL 108, TOR 95

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.9) over Dallas Wings (avg. 84.8) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

DAL 83.4–86.3 TOR 85.5–88.3 Overlap 0.77 pts Actual: DAL 108, TOR 95

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.9) over Dallas Wings (avg. 84.8) — by 2.1 points. The ranges barely touch.

DAL 83.5–86.1 TOR 85.7–88.2 Overlap 0.45 pts Actual: DAL 108, TOR 95

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.9) over Dallas Wings (avg. 84.8) — by 2.1 points. The ranges barely touch.

DAL 83.6–86.0 TOR 85.8–88.1 Overlap 0.19 pts Actual: DAL 108, TOR 95

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.9) over Dallas Wings (avg. 84.8) — by 2.1 points. The ranges barely touch.

Show the math
Model
Lexi (#11)
t-statistic
-16.86
p-value
7.56e-40

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
DAL 83.1–87.3 TOR 84.7–88.6 Overlap 2.67 pts Actual: DAL 108, TOR 95

In 95 out of 100 simulated runs, leans Toronto Tempo (avg. 86.6) over Dallas Wings (avg. 85.2) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

DAL 83.5–87.0 TOR 85.0–88.3 Overlap 2.01 pts Actual: DAL 108, TOR 95

In 90 out of 100 simulated runs, leans Toronto Tempo (avg. 86.6) over Dallas Wings (avg. 85.2) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

DAL 83.7–86.8 TOR 85.2–88.1 Overlap 1.59 pts Actual: DAL 108, TOR 95

In 85 out of 100 simulated runs, leans Toronto Tempo (avg. 86.6) over Dallas Wings (avg. 85.2) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

DAL 83.9–86.6 TOR 85.3–87.9 Overlap 1.26 pts Actual: DAL 108, TOR 95

In 80 out of 100 simulated runs, leans Toronto Tempo (avg. 86.6) over Dallas Wings (avg. 85.2) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

DAL 84.0–86.5 TOR 85.5–87.8 Overlap 0.99 pts Actual: DAL 108, TOR 95

In 75 out of 100 simulated runs, leans Toronto Tempo (avg. 86.6) over Dallas Wings (avg. 85.2) — by 1.4 points. The ranges barely touch.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-10.80
p-value
1.39e-21

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 — DAL at TOR — Actual: DAL 108, TOR 95
Level DAL range TOR range Overlap Tol Warning Actual landed in range?
95% 83.2–86.8 84.5–89.5 2.25 pts — No
90% 83.5–86.5 84.9–89.1 1.61 pts — No
85% 83.5–86.1 85.2–88.8 0.93 pts — No
80% 83.6–86.0 85.4–88.6 0.65 pts — No
75% 83.6–86.0 85.5–88.4 0.42 pts — No
Reg — DAL at TOR — Actual: DAL 108, TOR 95
Level DAL range TOR range Overlap Tol Warning Actual landed in range?
95% 82.4–87.8 85.5–89.7 2.31 pts — No
90% 82.8–87.3 85.7–89.0 1.68 pts — No
85% 83.1–87.0 85.7–88.8 1.36 pts — No
80% 83.3–86.8 85.8–88.7 1.04 pts — No
75% 83.5–86.6 85.9–88.4 0.74 pts — No
Dr. Wallace — DAL at TOR — Actual: DAL 108, TOR 95
Level DAL range TOR range Overlap Tol Warning Actual landed in range?
95% 83.6–86.2 85.2–88.8 1.02 pts — No
90% 83.9–86.1 85.8–88.4 0.21 pts — No
85% 83.9–85.9 86.0–88.1 — pts — No
80% 84.0–85.8 86.1–88.0 — pts — No
75% 84.1–85.8 86.1–87.9 — pts — No
Kevin — DAL at TOR — Actual: DAL 108, TOR 95
Level DAL range TOR range Overlap Tol Warning Actual landed in range?
95% 82.9–87.3 85.5–88.9 1.88 pts — No
90% 83.2–87.0 85.7–88.6 1.24 pts — No
85% 83.5–86.7 85.9–88.5 0.82 pts — No
80% 83.6–86.6 86.1–88.3 0.5 pts — No
75% 83.8–86.4 86.2–88.2 0.24 pts — No
Dr. Lila Shah — DAL at TOR — Actual: DAL 108, TOR 95
Level DAL range TOR range Overlap Tol Warning Actual landed in range?
95% 83.5–86.6 85.1–89.1 1.57 pts — No
90% 83.7–86.2 85.4–88.8 0.8 pts — No
85% 83.8–85.9 85.6–88.6 0.3 pts — No
80% 83.9–85.7 85.8–88.4 — pts — No
75% 83.9–85.7 85.9–88.3 — pts — No
Ice — DAL at TOR — Actual: DAL 108, TOR 95
Level DAL range TOR range Overlap Tol Warning Actual landed in range?
95% 83.1–86.3 85.2–88.8 1.16 pts — No
90% 83.4–86.1 85.5–88.5 0.63 pts — No
85% 83.6–85.9 85.7–88.3 0.26 pts — No
80% 83.7–85.7 85.8–88.2 — pts — No
75% 83.8–85.7 85.9–88.1 — pts — No
Jamal — DAL at TOR — Actual: DAL 108, TOR 95
Level DAL range TOR range Overlap Tol Warning Actual landed in range?
95% 82.9–87.1 85.2–89.1 1.93 pts — No
90% 83.2–86.8 85.5–88.7 1.28 pts — No
85% 83.5–86.6 85.7–88.5 0.86 pts — No
80% 83.6–86.4 85.8–88.4 0.53 pts — No
75% 83.8–86.2 86.0–88.3 0.26 pts — No
Jordan — DAL at TOR — Actual: DAL 108, TOR 95
Level DAL range TOR range Overlap Tol Warning Actual landed in range?
95% 82.5–86.5 85.1–89.2 1.43 pts — No
90% 83.3–86.1 85.4–88.8 0.62 pts — No
85% 83.6–85.9 85.6–88.6 0.25 pts — No
80% 83.8–85.8 85.8–88.5 0.01 pts — No
75% 83.9–85.7 85.9–88.3 — pts — No
Darren "Dimes" Lin — DAL at TOR — Actual: DAL 108, TOR 95
Level DAL range TOR range Overlap Tol Warning Actual landed in range?
95% 82.8–87.1 85.3–89.0 1.75 pts — No
90% 83.2–86.7 85.6–88.7 1.11 pts — No
85% 83.4–86.5 85.8–88.5 0.69 pts — No
80% 83.6–86.3 85.9–88.4 0.37 pts — No
75% 83.7–86.2 86.1–88.3 0.11 pts — No
Maya Jefferson — DAL at TOR — Actual: DAL 108, TOR 95
Level DAL range TOR range Overlap Tol Warning Actual landed in range?
95% 83.0–87.4 85.4–88.6 1.97 pts — No
90% 83.1–86.2 85.8–88.5 0.48 pts — No
85% 83.5–86.2 85.9–88.4 0.31 pts — No
80% 83.6–86.1 86.0–88.1 0.06 pts — No
75% 83.9–85.8 86.0–88.0 — pts — No
Lexi — DAL at TOR — Actual: DAL 108, TOR 95
Level DAL range TOR range Overlap Tol Warning Actual landed in range?
95% 82.8–86.8 85.0–88.8 1.81 pts — No
90% 83.1–86.5 85.3–88.5 1.18 pts — No
85% 83.4–86.3 85.5–88.3 0.77 pts — No
80% 83.5–86.1 85.7–88.2 0.45 pts — No
75% 83.6–86.0 85.8–88.1 0.19 pts — No
Coach Sarah Watanabe — DAL at TOR — Actual: DAL 108, TOR 95
Level DAL range TOR range Overlap Tol Warning Actual landed in range?
95% 83.1–87.3 84.7–88.6 2.67 pts — No
90% 83.5–87.0 85.0–88.3 2.01 pts — No
85% 83.7–86.8 85.2–88.1 1.59 pts — No
80% 83.9–86.6 85.3–87.9 1.26 pts — No
75% 84.0–86.5 85.5–87.8 0.99 pts — No