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New York Liberty at Toronto Tempo

NY 91 – TOR 93

July 12, 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 NY at TOR

All 12 models’ predicted scores

NY — one dot per model TOR — one dot per model Actual: NY 91, TOR 93
Vince Chambers
NY 85.6–89.8 TOR 84.9–88.8 Overlap 3.19 pts Actual: NY 91, TOR 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

NY 86.0–89.5 TOR 85.2–88.5 Overlap 2.53 pts Actual: NY 91, TOR 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.2–89.2 TOR 85.4–88.3 Overlap 2.11 pts Actual: NY 91, TOR 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.4–89.1 TOR 85.6–88.1 Overlap 1.78 pts Actual: NY 91, TOR 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.5–88.9 TOR 85.7–88.0 Overlap 1.51 pts Actual: NY 91, TOR 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Vince Chambers (#1)
t-statistic
6.69
p-value
2.35e-10

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
NY 85.0–90.2 TOR 84.9–89.0 Overlap 3.94 pts Actual: NY 91, TOR 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

NY 85.4–89.8 TOR 85.2–88.6 Overlap 3.19 pts Actual: NY 91, TOR 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

NY 85.7–89.5 TOR 85.4–88.4 Overlap 2.71 pts Actual: NY 91, TOR 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 85.9–89.3 TOR 85.6–88.3 Overlap 2.34 pts Actual: NY 91, TOR 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.1–89.1 TOR 85.7–88.1 Overlap 2.03 pts Actual: NY 91, TOR 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
4.64
p-value
6.75e-06

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
NY 85.7–89.7 TOR 84.9–89.1 Overlap 3.39 pts Actual: NY 91, TOR 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

NY 86.0–89.4 TOR 85.2–88.7 Overlap 2.72 pts Actual: NY 91, TOR 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.2–89.2 TOR 85.4–88.5 Overlap 2.29 pts Actual: NY 91, TOR 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.4–89.0 TOR 85.6–88.3 Overlap 1.96 pts Actual: NY 91, TOR 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.5–88.9 TOR 85.7–88.2 Overlap 1.68 pts Actual: NY 91, TOR 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Wallace (#3)
t-statistic
5.58
p-value
7.86e-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.

Kevin
NY 85.6–90.0 TOR 85.1–88.9 Overlap 3.32 pts Actual: NY 91, TOR 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

NY 85.9–89.7 TOR 85.4–88.6 Overlap 2.65 pts Actual: NY 91, TOR 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.2–89.4 TOR 85.6–88.4 Overlap 2.22 pts Actual: NY 91, TOR 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.3–89.3 TOR 85.7–88.2 Overlap 1.89 pts Actual: NY 91, TOR 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.5–89.1 TOR 85.9–88.1 Overlap 1.61 pts Actual: NY 91, TOR 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Kevin (#4)
t-statistic
6.14
p-value
4.69e-09

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
NY 85.1–90.2 TOR 85.0–88.8 Overlap 3.72 pts Actual: NY 91, TOR 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.5) — by 1.1 points. The ranges overlap almost entirely, so one game could go either way.

NY 85.5–89.7 TOR 85.3–88.2 Overlap 2.74 pts Actual: NY 91, TOR 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.5) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

NY 85.7–89.5 TOR 85.5–87.9 Overlap 2.14 pts Actual: NY 91, TOR 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.5) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

NY 85.9–89.3 TOR 85.5–87.6 Overlap 1.62 pts Actual: NY 91, TOR 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.5) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

NY 86.1–89.1 TOR 85.6–87.4 Overlap 1.34 pts Actual: NY 91, TOR 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.5) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
7.31
p-value
7.85e-12

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
NY 85.9–89.6 TOR 84.9–88.6 Overlap 2.72 pts Actual: NY 91, TOR 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 86.8) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.2–89.3 TOR 85.2–88.3 Overlap 2.12 pts Actual: NY 91, TOR 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 86.8) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.4–89.1 TOR 85.4–88.2 Overlap 1.73 pts Actual: NY 91, TOR 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 86.8) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.6–89.0 TOR 85.6–88.0 Overlap 1.44 pts Actual: NY 91, TOR 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 86.8) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.7–88.9 TOR 85.7–87.9 Overlap 1.19 pts Actual: NY 91, TOR 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 86.8) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Ice (#6)
t-statistic
8.31
p-value
1.60e-14

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
NY 85.8–89.9 TOR 85.1–89.1 Overlap 3.22 pts Actual: NY 91, TOR 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Toronto Tempo (avg. 87.1) — by under a point. The ranges overlap almost entirely, so one game could go either way.

NY 86.2–89.6 TOR 85.4–88.7 Overlap 2.57 pts Actual: NY 91, TOR 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Toronto Tempo (avg. 87.1) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.4–89.3 TOR 85.6–88.5 Overlap 2.15 pts Actual: NY 91, TOR 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Toronto Tempo (avg. 87.1) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.5–89.2 TOR 85.8–88.4 Overlap 1.83 pts Actual: NY 91, TOR 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Toronto Tempo (avg. 87.1) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.7–89.0 TOR 85.9–88.2 Overlap 1.56 pts Actual: NY 91, TOR 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Toronto Tempo (avg. 87.1) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jamal (#7)
t-statistic
6.22
p-value
3.04e-09

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
NY 85.5–90.2 TOR 84.8–89.2 Overlap 3.73 pts Actual: NY 91, TOR 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

NY 85.9–89.9 TOR 85.1–88.9 Overlap 2.98 pts Actual: NY 91, TOR 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.1–89.6 TOR 85.4–88.6 Overlap 2.5 pts Actual: NY 91, TOR 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.3–89.4 TOR 85.5–88.4 Overlap 2.12 pts Actual: NY 91, TOR 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.5–89.3 TOR 85.7–88.3 Overlap 1.81 pts Actual: NY 91, TOR 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Toronto Tempo (avg. 87.0) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jordan (#8)
t-statistic
6.04
p-value
7.66e-09

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
NY 85.5–89.8 TOR 84.9–88.9 Overlap 3.39 pts Actual: NY 91, TOR 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

NY 85.9–89.4 TOR 85.2–88.6 Overlap 2.73 pts Actual: NY 91, TOR 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.1–89.2 TOR 85.4–88.4 Overlap 2.29 pts Actual: NY 91, TOR 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.3–89.0 TOR 85.6–88.2 Overlap 1.96 pts Actual: NY 91, TOR 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.4–88.9 TOR 85.7–88.1 Overlap 1.68 pts Actual: NY 91, TOR 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Toronto Tempo (avg. 86.9) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
5.65
p-value
5.56e-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.

Maya Jefferson
NY 85.7–90.0 TOR 85.6–89.4 Overlap 3.71 pts Actual: NY 91, TOR 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 87.1) — by under a point. The ranges overlap almost entirely, so one game could go either way.

NY 86.0–89.6 TOR 85.7–88.4 Overlap 2.39 pts Actual: NY 91, TOR 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 87.1) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.2–89.4 TOR 85.8–88.2 Overlap 1.96 pts Actual: NY 91, TOR 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 87.1) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.4–89.2 TOR 85.9–88.1 Overlap 1.66 pts Actual: NY 91, TOR 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 87.1) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.6–89.1 TOR 86.0–87.9 Overlap 1.34 pts Actual: NY 91, TOR 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.8) over Toronto Tempo (avg. 87.1) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Maya Jefferson (#10)
t-statistic
5.55
p-value
9.41e-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.

Lexi
NY 85.8–89.5 TOR 84.6–89.0 Overlap 3.19 pts Actual: NY 91, TOR 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

NY 86.1–89.2 TOR 85.0–88.6 Overlap 2.54 pts Actual: NY 91, TOR 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.8) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.3–89.0 TOR 85.2–88.4 Overlap 2.12 pts Actual: NY 91, TOR 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.8) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.4–88.9 TOR 85.4–88.2 Overlap 1.79 pts Actual: NY 91, TOR 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.8) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 86.6–88.7 TOR 85.5–88.1 Overlap 1.52 pts Actual: NY 91, TOR 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Toronto Tempo (avg. 86.8) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Lexi (#11)
t-statistic
6.49
p-value
7.26e-10

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
NY 85.0–89.5 TOR 84.1–88.6 Overlap 3.6 pts Actual: NY 91, TOR 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.2) over Toronto Tempo (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

NY 85.3–89.1 TOR 84.5–88.2 Overlap 2.88 pts Actual: NY 91, TOR 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.2) over Toronto Tempo (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 85.6–88.9 TOR 84.7–88.0 Overlap 2.41 pts Actual: NY 91, TOR 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.2) over Toronto Tempo (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 85.8–88.7 TOR 84.9–87.8 Overlap 2.05 pts Actual: NY 91, TOR 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.2) over Toronto Tempo (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

NY 85.9–88.5 TOR 85.0–87.7 Overlap 1.75 pts Actual: NY 91, TOR 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.2) over Toronto Tempo (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
6.20
p-value
3.39e-09

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 — NY at TOR — Actual: NY 91, TOR 93
Level NY range TOR range Overlap Tol Warning Actual landed in range?
95% 85.6–89.8 84.9–88.8 3.19 pts — No
90% 86.0–89.5 85.2–88.5 2.53 pts — No
85% 86.2–89.2 85.4–88.3 2.11 pts — No
80% 86.4–89.1 85.6–88.1 1.78 pts — No
75% 86.5–88.9 85.7–88.0 1.51 pts — No
Reg — NY at TOR — Actual: NY 91, TOR 93
Level NY range TOR range Overlap Tol Warning Actual landed in range?
95% 85.0–90.2 84.9–89.0 3.94 pts — No
90% 85.4–89.8 85.2–88.6 3.19 pts — No
85% 85.7–89.5 85.4–88.4 2.71 pts — No
80% 85.9–89.3 85.6–88.3 2.34 pts — No
75% 86.1–89.1 85.7–88.1 2.03 pts — No
Dr. Wallace — NY at TOR — Actual: NY 91, TOR 93
Level NY range TOR range Overlap Tol Warning Actual landed in range?
95% 85.7–89.7 84.9–89.1 3.39 pts — No
90% 86.0–89.4 85.2–88.7 2.72 pts — No
85% 86.2–89.2 85.4–88.5 2.29 pts — No
80% 86.4–89.0 85.6–88.3 1.96 pts — No
75% 86.5–88.9 85.7–88.2 1.68 pts — No
Kevin — NY at TOR — Actual: NY 91, TOR 93
Level NY range TOR range Overlap Tol Warning Actual landed in range?
95% 85.6–90.0 85.1–88.9 3.32 pts — No
90% 85.9–89.7 85.4–88.6 2.65 pts — No
85% 86.2–89.4 85.6–88.4 2.22 pts — No
80% 86.3–89.3 85.7–88.2 1.89 pts — No
75% 86.5–89.1 85.9–88.1 1.61 pts — No
Dr. Lila Shah — NY at TOR — Actual: NY 91, TOR 93
Level NY range TOR range Overlap Tol Warning Actual landed in range?
95% 85.1–90.2 85.0–88.8 3.72 pts — No
90% 85.5–89.7 85.3–88.2 2.74 pts — No
85% 85.7–89.5 85.5–87.9 2.14 pts — No
80% 85.9–89.3 85.5–87.6 1.62 pts — No
75% 86.1–89.1 85.6–87.4 1.34 pts — No
Ice — NY at TOR — Actual: NY 91, TOR 93
Level NY range TOR range Overlap Tol Warning Actual landed in range?
95% 85.9–89.6 84.9–88.6 2.72 pts — No
90% 86.2–89.3 85.2–88.3 2.12 pts — No
85% 86.4–89.1 85.4–88.2 1.73 pts — No
80% 86.6–89.0 85.6–88.0 1.44 pts — No
75% 86.7–88.9 85.7–87.9 1.19 pts — No
Jamal — NY at TOR — Actual: NY 91, TOR 93
Level NY range TOR range Overlap Tol Warning Actual landed in range?
95% 85.8–89.9 85.1–89.1 3.22 pts — No
90% 86.2–89.6 85.4–88.7 2.57 pts — No
85% 86.4–89.3 85.6–88.5 2.15 pts — No
80% 86.5–89.2 85.8–88.4 1.83 pts — No
75% 86.7–89.0 85.9–88.2 1.56 pts — No
Jordan — NY at TOR — Actual: NY 91, TOR 93
Level NY range TOR range Overlap Tol Warning Actual landed in range?
95% 85.5–90.2 84.8–89.2 3.73 pts — No
90% 85.9–89.9 85.1–88.9 2.98 pts — No
85% 86.1–89.6 85.4–88.6 2.5 pts — No
80% 86.3–89.4 85.5–88.4 2.12 pts — No
75% 86.5–89.3 85.7–88.3 1.81 pts — No
Darren "Dimes" Lin — NY at TOR — Actual: NY 91, TOR 93
Level NY range TOR range Overlap Tol Warning Actual landed in range?
95% 85.5–89.8 84.9–88.9 3.39 pts — No
90% 85.9–89.4 85.2–88.6 2.73 pts — No
85% 86.1–89.2 85.4–88.4 2.29 pts — No
80% 86.3–89.0 85.6–88.2 1.96 pts — No
75% 86.4–88.9 85.7–88.1 1.68 pts — No
Maya Jefferson — NY at TOR — Actual: NY 91, TOR 93
Level NY range TOR range Overlap Tol Warning Actual landed in range?
95% 85.7–90.0 85.6–89.4 3.71 pts — No
90% 86.0–89.6 85.7–88.4 2.39 pts — No
85% 86.2–89.4 85.8–88.2 1.96 pts — No
80% 86.4–89.2 85.9–88.1 1.66 pts — No
75% 86.6–89.1 86.0–87.9 1.34 pts — No
Lexi — NY at TOR — Actual: NY 91, TOR 93
Level NY range TOR range Overlap Tol Warning Actual landed in range?
95% 85.8–89.5 84.6–89.0 3.19 pts — No
90% 86.1–89.2 85.0–88.6 2.54 pts — No
85% 86.3–89.0 85.2–88.4 2.12 pts — No
80% 86.4–88.9 85.4–88.2 1.79 pts — No
75% 86.6–88.7 85.5–88.1 1.52 pts — No
Coach Sarah Watanabe — NY at TOR — Actual: NY 91, TOR 93
Level NY range TOR range Overlap Tol Warning Actual landed in range?
95% 85.0–89.5 84.1–88.6 3.6 pts — No
90% 85.3–89.1 84.5–88.2 2.88 pts — No
85% 85.6–88.9 84.7–88.0 2.41 pts — No
80% 85.8–88.7 84.9–87.8 2.05 pts — No
75% 85.9–88.5 85.0–87.7 1.75 pts — No