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New York Liberty at Chicago Sky

NY 86 – CHI 93

August 18, 2026 · Final

Vince Chambers

Best model for this game

Vince Chambers
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 CHI

All 12 models’ predicted scores

NY — one dot per model CHI — one dot per model Actual: NY 86, CHI 93
Vince Chambers
NY 87.3–92.8 CHI 85.9–91.5 Overlap 4.13 pts Actual: NY 86, CHI 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 89.9) over Chicago Sky (avg. 88.6) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

NY 87.9–92.4 CHI 86.6–91.2 Overlap 3.22 pts Actual: NY 86, CHI 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 89.9) over Chicago Sky (avg. 88.6) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

NY 88.0–92.1 CHI 87.0–91.0 Overlap 2.94 pts Actual: NY 86, CHI 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 89.9) over Chicago Sky (avg. 88.6) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

NY 88.4–91.9 CHI 87.1–90.7 Overlap 2.36 pts Actual: NY 86, CHI 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 89.9) over Chicago Sky (avg. 88.6) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

NY 88.5–91.7 CHI 87.2–90.3 Overlap 1.88 pts Actual: NY 86, CHI 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 89.9) over Chicago Sky (avg. 88.6) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Vince Chambers (#1)
t-statistic
7.80
p-value
9.85e-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.

Reg
NY 85.3–94.1 CHI 81.5–91.6 Overlap 6.34 pts Actual: NY 86, CHI 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 89.8) over Chicago Sky (avg. 87.9) — by 1.8 points. The ranges overlap almost entirely, so one game could go either way.

NY 86.0–92.9 CHI 82.5–91.4 Overlap 5.35 pts Actual: NY 86, CHI 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 89.8) over Chicago Sky (avg. 87.9) — by 1.8 points. The ranges overlap almost entirely, so one game could go either way.

NY 86.5–92.5 CHI 83.1–91.1 Overlap 4.65 pts Actual: NY 86, CHI 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 89.8) over Chicago Sky (avg. 87.9) — by 1.8 points. The ranges overlap almost entirely, so one game could go either way.

NY 86.8–92.0 CHI 83.5–90.6 Overlap 3.82 pts Actual: NY 86, CHI 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 89.8) over Chicago Sky (avg. 87.9) — by 1.8 points. The ranges overlap almost entirely, so one game could go either way.

NY 87.4–91.8 CHI 84.5–90.4 Overlap 3.02 pts Actual: NY 86, CHI 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 89.8) over Chicago Sky (avg. 87.9) — by 1.8 points. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Reg (#2)
t-statistic
6.84
p-value
4.46e-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.

Dr. Wallace
NY 84.1–93.1 CHI 81.6–90.6 Overlap 6.51 pts Actual: NY 86, CHI 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Chicago Sky (avg. 86.6) — by 2.0 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.8–92.4 CHI 81.7–90.1 Overlap 5.3 pts Actual: NY 86, CHI 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Chicago Sky (avg. 86.6) — by 2.0 points. The ranges overlap almost entirely, so one game could go either way.

NY 85.3–91.9 CHI 82.3–89.8 Overlap 4.54 pts Actual: NY 86, CHI 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Chicago Sky (avg. 86.6) — by 2.0 points. The ranges overlap almost entirely, so one game could go either way.

NY 85.6–91.5 CHI 82.5–89.6 Overlap 3.98 pts Actual: NY 86, CHI 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Chicago Sky (avg. 86.6) — by 2.0 points. The ranges overlap almost entirely, so one game could go either way.

NY 85.9–91.2 CHI 82.7–89.4 Overlap 3.42 pts Actual: NY 86, CHI 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 88.6) over Chicago Sky (avg. 86.6) — by 2.0 points. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Dr. Wallace (#3)
t-statistic
7.17
p-value
6.26e-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.

Kevin
NY 84.1–92.4 CHI 81.1–90.5 Overlap 6.34 pts Actual: NY 86, CHI 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 88.5) over Chicago Sky (avg. 86.4) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.8–91.9 CHI 81.7–90.2 Overlap 5.37 pts Actual: NY 86, CHI 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 88.5) over Chicago Sky (avg. 86.4) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

NY 85.1–91.4 CHI 82.0–89.9 Overlap 4.84 pts Actual: NY 86, CHI 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 88.5) over Chicago Sky (avg. 86.4) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

NY 85.3–91.2 CHI 82.2–89.8 Overlap 4.48 pts Actual: NY 86, CHI 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 88.5) over Chicago Sky (avg. 86.4) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

NY 85.7–91.0 CHI 82.4–89.7 Overlap 4.01 pts Actual: NY 86, CHI 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 88.5) over Chicago Sky (avg. 86.4) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Kevin (#4)
t-statistic
7.24
p-value
4.11e-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.

Dr. Lila Shah
NY 83.1–90.5 CHI 81.3–90.0 Overlap 6.9 pts Actual: NY 86, CHI 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Chicago Sky (avg. 84.9) — by 1.9 points. The ranges overlap almost entirely, so one game could go either way.

NY 83.7–89.9 CHI 81.6–89.2 Overlap 5.49 pts Actual: NY 86, CHI 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Chicago Sky (avg. 84.9) — by 1.9 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.1–89.5 CHI 81.8–88.8 Overlap 4.74 pts Actual: NY 86, CHI 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Chicago Sky (avg. 84.9) — by 1.9 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.4–89.2 CHI 81.9–88.3 Overlap 3.98 pts Actual: NY 86, CHI 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Chicago Sky (avg. 84.9) — by 1.9 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.6–89.0 CHI 82.0–88.0 Overlap 3.44 pts Actual: NY 86, CHI 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Chicago Sky (avg. 84.9) — by 1.9 points. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
7.61
p-value
4.62e-13

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 82.5–91.5 CHI 81.2–89.0 Overlap 6.47 pts Actual: NY 86, CHI 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 86.9) over Chicago Sky (avg. 84.2) — by 2.7 points. The ranges overlap almost entirely, so one game could go either way.

NY 83.2–90.8 CHI 81.3–88.3 Overlap 5.14 pts Actual: NY 86, CHI 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 86.9) over Chicago Sky (avg. 84.2) — by 2.7 points. The ranges overlap almost entirely, so one game could go either way.

NY 83.6–90.3 CHI 81.5–88.1 Overlap 4.5 pts Actual: NY 86, CHI 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 86.9) over Chicago Sky (avg. 84.2) — by 2.7 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.0–89.9 CHI 81.6–87.9 Overlap 3.95 pts Actual: NY 86, CHI 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 86.9) over Chicago Sky (avg. 84.2) — by 2.7 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.3–89.6 CHI 81.8–87.8 Overlap 3.5 pts Actual: NY 86, CHI 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 86.9) over Chicago Sky (avg. 84.2) — by 2.7 points. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Ice (#6)
t-statistic
10.55
p-value
2.29e-22

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 83.5–91.6 CHI 80.8–89.8 Overlap 6.31 pts Actual: NY 86, CHI 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 86.5) over Chicago Sky (avg. 83.8) — by 2.7 points. The ranges overlap almost entirely, so one game could go either way.

NY 83.9–90.5 CHI 81.2–88.9 Overlap 4.94 pts Actual: NY 86, CHI 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 86.5) over Chicago Sky (avg. 83.8) — by 2.7 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.2–90.0 CHI 81.4–88.2 Overlap 4.0 pts Actual: NY 86, CHI 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 86.5) over Chicago Sky (avg. 83.8) — by 2.7 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.4–89.5 CHI 81.6–87.8 Overlap 3.4 pts Actual: NY 86, CHI 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 86.5) over Chicago Sky (avg. 83.8) — by 2.7 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.5–89.0 CHI 81.7–87.7 Overlap 3.16 pts Actual: NY 86, CHI 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 86.5) over Chicago Sky (avg. 83.8) — by 2.7 points. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Jamal (#7)
t-statistic
10.73
p-value
6.49e-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.

Jordan
NY 83.6–90.5 CHI 81.1–89.3 Overlap 5.71 pts Actual: NY 86, CHI 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 86.3) over Chicago Sky (avg. 83.7) — by 2.6 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.0–89.4 CHI 81.3–88.3 Overlap 4.31 pts Actual: NY 86, CHI 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 86.3) over Chicago Sky (avg. 83.7) — by 2.6 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.2–89.1 CHI 81.6–88.1 Overlap 3.94 pts Actual: NY 86, CHI 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 86.3) over Chicago Sky (avg. 83.7) — by 2.6 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.4–88.8 CHI 81.9–87.8 Overlap 3.43 pts Actual: NY 86, CHI 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 86.3) over Chicago Sky (avg. 83.7) — by 2.6 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.6–88.8 CHI 82.1–87.2 Overlap 2.6 pts Actual: NY 86, CHI 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 86.3) over Chicago Sky (avg. 83.7) — by 2.6 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jordan (#8)
t-statistic
11.70
p-value
3.08e-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.

Darren "Dimes" Lin
NY 83.3–90.6 CHI 81.0–90.1 Overlap 6.74 pts Actual: NY 86, CHI 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 86.5) over Chicago Sky (avg. 83.9) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

NY 83.7–90.5 CHI 81.4–89.1 Overlap 5.45 pts Actual: NY 86, CHI 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 86.5) over Chicago Sky (avg. 83.9) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.0–90.2 CHI 81.7–88.8 Overlap 4.84 pts Actual: NY 86, CHI 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 86.5) over Chicago Sky (avg. 83.9) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.2–89.7 CHI 81.8–88.4 Overlap 4.25 pts Actual: NY 86, CHI 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 86.5) over Chicago Sky (avg. 83.9) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.3–89.2 CHI 81.9–88.0 Overlap 3.67 pts Actual: NY 86, CHI 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 86.5) over Chicago Sky (avg. 83.9) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
9.69
p-value
1.85e-19

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 84.1–90.6 CHI 81.1–89.7 Overlap 5.65 pts Actual: NY 86, CHI 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Chicago Sky (avg. 84.3) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.3–90.1 CHI 81.3–89.2 Overlap 4.9 pts Actual: NY 86, CHI 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Chicago Sky (avg. 84.3) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.4–89.7 CHI 81.8–88.7 Overlap 4.29 pts Actual: NY 86, CHI 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Chicago Sky (avg. 84.3) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.5–89.5 CHI 81.9–88.4 Overlap 3.87 pts Actual: NY 86, CHI 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Chicago Sky (avg. 84.3) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.7–89.2 CHI 81.9–88.2 Overlap 3.52 pts Actual: NY 86, CHI 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 86.8) over Chicago Sky (avg. 84.3) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Maya Jefferson (#10)
t-statistic
9.79
p-value
1.14e-19

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 84.0–92.8 CHI 81.0–90.7 Overlap 6.66 pts Actual: NY 86, CHI 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Chicago Sky (avg. 85.3) — by 2.3 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.2–92.1 CHI 81.2–90.2 Overlap 6.01 pts Actual: NY 86, CHI 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Chicago Sky (avg. 85.3) — by 2.3 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.8–91.4 CHI 81.6–89.9 Overlap 5.11 pts Actual: NY 86, CHI 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Chicago Sky (avg. 85.3) — by 2.3 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.9–90.7 CHI 81.8–89.7 Overlap 4.82 pts Actual: NY 86, CHI 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Chicago Sky (avg. 85.3) — by 2.3 points. The ranges overlap almost entirely, so one game could go either way.

NY 85.0–90.5 CHI 81.9–89.2 Overlap 4.28 pts Actual: NY 86, CHI 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Chicago Sky (avg. 85.3) — by 2.3 points. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Lexi (#11)
t-statistic
7.06
p-value
1.26e-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
NY 82.7–93.1 CHI 81.0–90.8 Overlap 8.15 pts Actual: NY 86, CHI 93

In 95 out of 100 simulated runs, leans New York Liberty (avg. 88.0) over Chicago Sky (avg. 85.8) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

NY 83.1–92.4 CHI 81.3–90.5 Overlap 7.42 pts Actual: NY 86, CHI 93

In 90 out of 100 simulated runs, leans New York Liberty (avg. 88.0) over Chicago Sky (avg. 85.8) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

NY 83.5–91.6 CHI 81.5–89.7 Overlap 6.2 pts Actual: NY 86, CHI 93

In 85 out of 100 simulated runs, leans New York Liberty (avg. 88.0) over Chicago Sky (avg. 85.8) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

NY 83.8–91.3 CHI 81.8–89.4 Overlap 5.52 pts Actual: NY 86, CHI 93

In 80 out of 100 simulated runs, leans New York Liberty (avg. 88.0) over Chicago Sky (avg. 85.8) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

NY 84.0–91.0 CHI 81.9–89.1 Overlap 5.08 pts Actual: NY 86, CHI 93

In 75 out of 100 simulated runs, leans New York Liberty (avg. 88.0) over Chicago Sky (avg. 85.8) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
6.27
p-value
1.22e-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 CHI — Actual: NY 86, CHI 93
Level NY range CHI range Overlap Tol Warning Actual landed in range?
95% 87.3–92.8 85.9–91.5 4.13 pts No
90% 87.9–92.4 86.6–91.2 3.22 pts No
85% 88.0–92.1 87.0–91.0 2.94 pts No
80% 88.4–91.9 87.1–90.7 2.36 pts No
75% 88.5–91.7 87.2–90.3 1.88 pts No
Reg — NY at CHI — Actual: NY 86, CHI 93
Level NY range CHI range Overlap Tol Warning Actual landed in range?
95% 85.3–94.1 81.5–91.6 6.34 pts No
90% 86.0–92.9 82.5–91.4 5.35 pts No
85% 86.5–92.5 83.1–91.1 4.65 pts No
80% 86.8–92.0 83.5–90.6 3.82 pts No
75% 87.4–91.8 84.5–90.4 3.02 pts No
Dr. Wallace — NY at CHI — Actual: NY 86, CHI 93
Level NY range CHI range Overlap Tol Warning Actual landed in range?
95% 84.1–93.1 81.6–90.6 6.51 pts No
90% 84.8–92.4 81.7–90.1 5.3 pts No
85% 85.3–91.9 82.3–89.8 4.54 pts No
80% 85.6–91.5 82.5–89.6 3.98 pts No
75% 85.9–91.2 82.7–89.4 3.42 pts No
Kevin — NY at CHI — Actual: NY 86, CHI 93
Level NY range CHI range Overlap Tol Warning Actual landed in range?
95% 84.1–92.4 81.1–90.5 6.34 pts No
90% 84.8–91.9 81.7–90.2 5.37 pts No
85% 85.1–91.4 82.0–89.9 4.84 pts No
80% 85.3–91.2 82.2–89.8 4.48 pts No
75% 85.7–91.0 82.4–89.7 4.01 pts No
Dr. Lila Shah — NY at CHI — Actual: NY 86, CHI 93
Level NY range CHI range Overlap Tol Warning Actual landed in range?
95% 83.1–90.5 81.3–90.0 6.9 pts No
90% 83.7–89.9 81.6–89.2 5.49 pts No
85% 84.1–89.5 81.8–88.8 4.74 pts No
80% 84.4–89.2 81.9–88.3 3.98 pts No
75% 84.6–89.0 82.0–88.0 3.44 pts No
Ice — NY at CHI — Actual: NY 86, CHI 93
Level NY range CHI range Overlap Tol Warning Actual landed in range?
95% 82.5–91.5 81.2–89.0 6.47 pts No
90% 83.2–90.8 81.3–88.3 5.14 pts No
85% 83.6–90.3 81.5–88.1 4.5 pts No
80% 84.0–89.9 81.6–87.9 3.95 pts No
75% 84.3–89.6 81.8–87.8 3.5 pts No
Jamal — NY at CHI — Actual: NY 86, CHI 93
Level NY range CHI range Overlap Tol Warning Actual landed in range?
95% 83.5–91.6 80.8–89.8 6.31 pts No
90% 83.9–90.5 81.2–88.9 4.94 pts No
85% 84.2–90.0 81.4–88.2 4.0 pts No
80% 84.4–89.5 81.6–87.8 3.4 pts No
75% 84.5–89.0 81.7–87.7 3.16 pts No
Jordan — NY at CHI — Actual: NY 86, CHI 93
Level NY range CHI range Overlap Tol Warning Actual landed in range?
95% 83.6–90.5 81.1–89.3 5.71 pts No
90% 84.0–89.4 81.3–88.3 4.31 pts No
85% 84.2–89.1 81.6–88.1 3.94 pts No
80% 84.4–88.8 81.9–87.8 3.43 pts No
75% 84.6–88.8 82.1–87.2 2.6 pts No
Darren "Dimes" Lin — NY at CHI — Actual: NY 86, CHI 93
Level NY range CHI range Overlap Tol Warning Actual landed in range?
95% 83.3–90.6 81.0–90.1 6.74 pts No
90% 83.7–90.5 81.4–89.1 5.45 pts No
85% 84.0–90.2 81.7–88.8 4.84 pts No
80% 84.2–89.7 81.8–88.4 4.25 pts No
75% 84.3–89.2 81.9–88.0 3.67 pts No
Maya Jefferson — NY at CHI — Actual: NY 86, CHI 93
Level NY range CHI range Overlap Tol Warning Actual landed in range?
95% 84.1–90.6 81.1–89.7 5.65 pts No
90% 84.3–90.1 81.3–89.2 4.9 pts No
85% 84.4–89.7 81.8–88.7 4.29 pts No
80% 84.5–89.5 81.9–88.4 3.87 pts No
75% 84.7–89.2 81.9–88.2 3.52 pts No
Lexi — NY at CHI — Actual: NY 86, CHI 93
Level NY range CHI range Overlap Tol Warning Actual landed in range?
95% 84.0–92.8 81.0–90.7 6.66 pts No
90% 84.2–92.1 81.2–90.2 6.01 pts No
85% 84.8–91.4 81.6–89.9 5.11 pts No
80% 84.9–90.7 81.8–89.7 4.82 pts No
75% 85.0–90.5 81.9–89.2 4.28 pts No
Coach Sarah Watanabe — NY at CHI — Actual: NY 86, CHI 93
Level NY range CHI range Overlap Tol Warning Actual landed in range?
95% 82.7–93.1 81.0–90.8 8.15 pts No
90% 83.1–92.4 81.3–90.5 7.42 pts No
85% 83.5–91.6 81.5–89.7 6.2 pts No
80% 83.8–91.3 81.8–89.4 5.52 pts No
75% 84.0–91.0 81.9–89.1 5.08 pts No