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Chicago Sky at Phoenix Mercury

CHI 77 – PHX 66

July 7, 2026 · Final

Darren "Dimes" Lin

Best model for this game

Darren "Dimes" Lin
All models: 12-0
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 CHI at PHX

All 12 models’ predicted scores

CHI — one dot per model PHX — one dot per model Actual: CHI 77, PHX 66
Vince Chambers
CHI 83.0–86.6 PHX 81.1–85.6 Overlap 2.53 pts Actual: CHI 77, PHX 66

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 84.8) over Phoenix Mercury (avg. 83.3) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.3–86.5 PHX 81.4–85.2 Overlap 1.92 pts Actual: CHI 77, PHX 66

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 84.8) over Phoenix Mercury (avg. 83.3) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.6–86.3 PHX 81.7–85.0 Overlap 1.42 pts Actual: CHI 77, PHX 66

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 84.8) over Phoenix Mercury (avg. 83.3) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.6–86.2 PHX 81.9–84.8 Overlap 1.16 pts Actual: CHI 77, PHX 66

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 84.8) over Phoenix Mercury (avg. 83.3) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.7–85.9 PHX 82.0–84.6 Overlap 0.94 pts Actual: CHI 77, PHX 66

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 84.8) over Phoenix Mercury (avg. 83.3) — by 1.5 points. The ranges barely touch.

Show the math
Model
Vince Chambers (#1)
t-statistic
10.47
p-value
1.27e-20

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
CHI 83.1–87.7 PHX 80.9–86.3 Overlap 3.17 pts Actual: CHI 77, PHX 66

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 85.1) over Phoenix Mercury (avg. 83.6) — by 1.5 points. The ranges overlap almost entirely, so one game could go either way.

CHI 83.2–87.0 PHX 81.3–85.9 Overlap 2.68 pts Actual: CHI 77, PHX 66

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 85.1) over Phoenix Mercury (avg. 83.6) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.4–86.5 PHX 81.6–85.6 Overlap 2.13 pts Actual: CHI 77, PHX 66

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 85.1) over Phoenix Mercury (avg. 83.6) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.6–86.4 PHX 81.8–85.4 Overlap 1.74 pts Actual: CHI 77, PHX 66

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 85.1) over Phoenix Mercury (avg. 83.6) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.8–86.2 PHX 82.0–85.2 Overlap 1.34 pts Actual: CHI 77, PHX 66

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 85.1) over Phoenix Mercury (avg. 83.6) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
8.57
p-value
3.26e-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.

Dr. Wallace
CHI 82.4–87.3 PHX 80.8–85.9 Overlap 3.56 pts Actual: CHI 77, PHX 66

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.4) — by 1.5 points. The ranges overlap almost entirely, so one game could go either way.

CHI 82.8–86.9 PHX 81.2–85.5 Overlap 2.75 pts Actual: CHI 77, PHX 66

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.4) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.0–86.7 PHX 81.5–85.3 Overlap 2.22 pts Actual: CHI 77, PHX 66

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.4) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.2–86.5 PHX 81.7–85.1 Overlap 1.82 pts Actual: CHI 77, PHX 66

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.4) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.4–86.3 PHX 81.9–84.9 Overlap 1.48 pts Actual: CHI 77, PHX 66

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.4) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Wallace (#3)
t-statistic
9.22
p-value
5.05e-17

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
CHI 83.2–86.8 PHX 81.2–85.3 Overlap 2.1 pts Actual: CHI 77, PHX 66

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 84.7) over Phoenix Mercury (avg. 83.2) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.6–86.3 PHX 81.5–84.9 Overlap 1.39 pts Actual: CHI 77, PHX 66

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 84.7) over Phoenix Mercury (avg. 83.2) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.8–86.0 PHX 81.7–84.7 Overlap 0.97 pts Actual: CHI 77, PHX 66

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 84.7) over Phoenix Mercury (avg. 83.2) — by 1.5 points. The ranges barely touch.

CHI 83.8–85.7 PHX 81.9–84.6 Overlap 0.74 pts Actual: CHI 77, PHX 66

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 84.7) over Phoenix Mercury (avg. 83.2) — by 1.5 points. The ranges barely touch.

CHI 83.9–85.6 PHX 82.0–84.4 Overlap 0.55 pts Actual: CHI 77, PHX 66

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 84.7) over Phoenix Mercury (avg. 83.2) — by 1.5 points. The ranges barely touch.

Show the math
Model
Kevin (#4)
t-statistic
10.91
p-value
7.58e-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.

Dr. Lila Shah
CHI 82.0–85.4 PHX 81.2–84.5 Overlap 2.51 pts Actual: CHI 77, PHX 66

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 83.7) over Phoenix Mercury (avg. 82.8) — by under a point. The ranges overlap some — there's real uncertainty here.

CHI 82.3–85.2 PHX 81.4–84.3 Overlap 1.96 pts Actual: CHI 77, PHX 66

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 83.7) over Phoenix Mercury (avg. 82.8) — by under a point. The ranges overlap some — there's real uncertainty here.

CHI 82.5–85.0 PHX 81.6–84.1 Overlap 1.61 pts Actual: CHI 77, PHX 66

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 83.7) over Phoenix Mercury (avg. 82.8) — by under a point. The ranges overlap some — there's real uncertainty here.

CHI 82.6–84.9 PHX 81.7–83.9 Overlap 1.33 pts Actual: CHI 77, PHX 66

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 83.7) over Phoenix Mercury (avg. 82.8) — by under a point. The ranges overlap some — there's real uncertainty here.

CHI 82.7–84.7 PHX 81.9–83.8 Overlap 1.11 pts Actual: CHI 77, PHX 66

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 83.7) over Phoenix Mercury (avg. 82.8) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
8.18
p-value
3.74e-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.

Ice
CHI 83.1–86.8 PHX 80.9–85.6 Overlap 2.48 pts Actual: CHI 77, PHX 66

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 84.6) over Phoenix Mercury (avg. 83.2) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

CHI 83.3–86.3 PHX 81.2–85.2 Overlap 1.94 pts Actual: CHI 77, PHX 66

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 84.6) over Phoenix Mercury (avg. 83.2) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

CHI 83.4–86.1 PHX 81.5–85.0 Overlap 1.57 pts Actual: CHI 77, PHX 66

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 84.6) over Phoenix Mercury (avg. 83.2) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

CHI 83.5–86.0 PHX 81.7–84.8 Overlap 1.29 pts Actual: CHI 77, PHX 66

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 84.6) over Phoenix Mercury (avg. 83.2) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

CHI 83.5–85.8 PHX 81.8–84.6 Overlap 1.06 pts Actual: CHI 77, PHX 66

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 84.6) over Phoenix Mercury (avg. 83.2) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Ice (#6)
t-statistic
9.47
p-value
9.80e-18

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
CHI 82.8–87.6 PHX 81.5–85.8 Overlap 3.01 pts Actual: CHI 77, PHX 66

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 84.6) over Phoenix Mercury (avg. 83.3) — by 1.4 points. The ranges overlap almost entirely, so one game could go either way.

CHI 83.2–86.6 PHX 81.7–85.0 Overlap 1.79 pts Actual: CHI 77, PHX 66

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 84.6) over Phoenix Mercury (avg. 83.3) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

CHI 83.3–86.3 PHX 81.9–84.4 Overlap 1.11 pts Actual: CHI 77, PHX 66

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 84.6) over Phoenix Mercury (avg. 83.3) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

CHI 83.4–85.9 PHX 82.0–84.3 Overlap 0.92 pts Actual: CHI 77, PHX 66

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 84.6) over Phoenix Mercury (avg. 83.3) — by 1.4 points. The ranges barely touch.

CHI 83.5–85.7 PHX 82.2–84.3 Overlap 0.75 pts Actual: CHI 77, PHX 66

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 84.6) over Phoenix Mercury (avg. 83.3) — by 1.4 points. The ranges barely touch.

Show the math
Model
Jamal (#7)
t-statistic
8.46
p-value
6.91e-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.

Jordan
CHI 82.3–87.5 PHX 80.7–85.9 Overlap 3.56 pts Actual: CHI 77, PHX 66

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.3) — by 1.6 points. The ranges overlap almost entirely, so one game could go either way.

CHI 82.7–87.0 PHX 81.1–85.4 Overlap 2.75 pts Actual: CHI 77, PHX 66

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.3) — by 1.6 points. The ranges overlap some — there's real uncertainty here.

CHI 83.0–86.8 PHX 81.4–85.2 Overlap 2.21 pts Actual: CHI 77, PHX 66

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.3) — by 1.6 points. The ranges overlap some — there's real uncertainty here.

CHI 83.2–86.6 PHX 81.6–85.0 Overlap 1.8 pts Actual: CHI 77, PHX 66

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.3) — by 1.6 points. The ranges overlap some — there's real uncertainty here.

CHI 83.3–86.4 PHX 81.8–84.8 Overlap 1.45 pts Actual: CHI 77, PHX 66

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.3) — by 1.6 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jordan (#8)
t-statistic
9.53
p-value
6.89e-18

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
CHI 83.2–88.1 PHX 81.1–85.2 Overlap 1.99 pts Actual: CHI 77, PHX 66

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.2) — by 1.7 points. The ranges overlap some — there's real uncertainty here.

CHI 83.3–87.4 PHX 81.3–84.9 Overlap 1.63 pts Actual: CHI 77, PHX 66

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.2) — by 1.7 points. The ranges overlap some — there's real uncertainty here.

CHI 83.4–86.7 PHX 81.4–84.7 Overlap 1.34 pts Actual: CHI 77, PHX 66

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.2) — by 1.7 points. The ranges overlap some — there's real uncertainty here.

CHI 83.4–86.5 PHX 81.7–84.5 Overlap 1.08 pts Actual: CHI 77, PHX 66

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.2) — by 1.7 points. The ranges overlap some — there's real uncertainty here.

CHI 83.5–86.2 PHX 81.9–84.3 Overlap 0.77 pts Actual: CHI 77, PHX 66

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.2) — by 1.7 points. The ranges barely touch.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
9.38
p-value
1.82e-17

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
CHI 82.6–86.5 PHX 81.2–85.0 Overlap 2.43 pts Actual: CHI 77, PHX 66

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 84.5) over Phoenix Mercury (avg. 83.1) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

CHI 82.9–86.2 PHX 81.5–84.7 Overlap 1.81 pts Actual: CHI 77, PHX 66

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 84.5) over Phoenix Mercury (avg. 83.1) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

CHI 83.1–86.0 PHX 81.7–84.5 Overlap 1.41 pts Actual: CHI 77, PHX 66

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 84.5) over Phoenix Mercury (avg. 83.1) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

CHI 83.3–85.8 PHX 81.9–84.4 Overlap 1.1 pts Actual: CHI 77, PHX 66

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 84.5) over Phoenix Mercury (avg. 83.1) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

CHI 83.4–85.7 PHX 82.0–84.2 Overlap 0.84 pts Actual: CHI 77, PHX 66

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 84.5) over Phoenix Mercury (avg. 83.1) — by 1.4 points. The ranges barely touch.

Show the math
Model
Maya Jefferson (#10)
t-statistic
11.55
p-value
8.06e-24

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

Lexi
CHI 83.5–87.4 PHX 81.5–85.4 Overlap 1.98 pts Actual: CHI 77, PHX 66

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.4) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.5–86.6 PHX 81.7–85.1 Overlap 1.61 pts Actual: CHI 77, PHX 66

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.4) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.6–86.4 PHX 81.9–85.0 Overlap 1.39 pts Actual: CHI 77, PHX 66

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.4) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.7–86.0 PHX 82.0–84.7 Overlap 1.01 pts Actual: CHI 77, PHX 66

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.4) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.8–85.9 PHX 82.2–84.5 Overlap 0.66 pts Actual: CHI 77, PHX 66

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 84.9) over Phoenix Mercury (avg. 83.4) — by 1.5 points. The ranges barely touch.

Show the math
Model
Lexi (#11)
t-statistic
9.80
p-value
1.29e-18

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
CHI 83.7–89.2 PHX 81.1–87.3 Overlap 3.59 pts Actual: CHI 77, PHX 66

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 85.8) over Phoenix Mercury (avg. 84.1) — by 1.7 points. The ranges overlap almost entirely, so one game could go either way.

CHI 84.0–88.2 PHX 81.6–86.7 Overlap 2.75 pts Actual: CHI 77, PHX 66

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 85.8) over Phoenix Mercury (avg. 84.1) — by 1.7 points. The ranges overlap some — there's real uncertainty here.

CHI 84.2–88.0 PHX 81.9–86.4 Overlap 2.18 pts Actual: CHI 77, PHX 66

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 85.8) over Phoenix Mercury (avg. 84.1) — by 1.7 points. The ranges overlap some — there's real uncertainty here.

CHI 84.3–87.4 PHX 82.1–86.2 Overlap 1.84 pts Actual: CHI 77, PHX 66

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 85.8) over Phoenix Mercury (avg. 84.1) — by 1.7 points. The ranges overlap some — there's real uncertainty here.

CHI 84.4–87.1 PHX 82.3–85.9 Overlap 1.59 pts Actual: CHI 77, PHX 66

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 85.8) over Phoenix Mercury (avg. 84.1) — by 1.7 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
8.18
p-value
3.76e-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.

View as table
Vince Chambers — CHI at PHX — Actual: CHI 77, PHX 66
Level CHI range PHX range Overlap Tol Warning Actual landed in range?
95% 83.0–86.6 81.1–85.6 2.53 pts — No
90% 83.3–86.5 81.4–85.2 1.92 pts — No
85% 83.6–86.3 81.7–85.0 1.42 pts — No
80% 83.6–86.2 81.9–84.8 1.16 pts — No
75% 83.7–85.9 82.0–84.6 0.94 pts — No
Reg — CHI at PHX — Actual: CHI 77, PHX 66
Level CHI range PHX range Overlap Tol Warning Actual landed in range?
95% 83.1–87.7 80.9–86.3 3.17 pts — No
90% 83.2–87.0 81.3–85.9 2.68 pts — No
85% 83.4–86.5 81.6–85.6 2.13 pts — No
80% 83.6–86.4 81.8–85.4 1.74 pts — No
75% 83.8–86.2 82.0–85.2 1.34 pts — No
Dr. Wallace — CHI at PHX — Actual: CHI 77, PHX 66
Level CHI range PHX range Overlap Tol Warning Actual landed in range?
95% 82.4–87.3 80.8–85.9 3.56 pts — No
90% 82.8–86.9 81.2–85.5 2.75 pts — No
85% 83.0–86.7 81.5–85.3 2.22 pts — No
80% 83.2–86.5 81.7–85.1 1.82 pts — No
75% 83.4–86.3 81.9–84.9 1.48 pts — No
Kevin — CHI at PHX — Actual: CHI 77, PHX 66
Level CHI range PHX range Overlap Tol Warning Actual landed in range?
95% 83.2–86.8 81.2–85.3 2.1 pts — No
90% 83.6–86.3 81.5–84.9 1.39 pts — No
85% 83.8–86.0 81.7–84.7 0.97 pts — No
80% 83.8–85.7 81.9–84.6 0.74 pts — No
75% 83.9–85.6 82.0–84.4 0.55 pts — No
Dr. Lila Shah — CHI at PHX — Actual: CHI 77, PHX 66
Level CHI range PHX range Overlap Tol Warning Actual landed in range?
95% 82.0–85.4 81.2–84.5 2.51 pts — No
90% 82.3–85.2 81.4–84.3 1.96 pts — No
85% 82.5–85.0 81.6–84.1 1.61 pts — No
80% 82.6–84.9 81.7–83.9 1.33 pts — No
75% 82.7–84.7 81.9–83.8 1.11 pts — No
Ice — CHI at PHX — Actual: CHI 77, PHX 66
Level CHI range PHX range Overlap Tol Warning Actual landed in range?
95% 83.1–86.8 80.9–85.6 2.48 pts — No
90% 83.3–86.3 81.2–85.2 1.94 pts — No
85% 83.4–86.1 81.5–85.0 1.57 pts — No
80% 83.5–86.0 81.7–84.8 1.29 pts — No
75% 83.5–85.8 81.8–84.6 1.06 pts — No
Jamal — CHI at PHX — Actual: CHI 77, PHX 66
Level CHI range PHX range Overlap Tol Warning Actual landed in range?
95% 82.8–87.6 81.5–85.8 3.01 pts — No
90% 83.2–86.6 81.7–85.0 1.79 pts — No
85% 83.3–86.3 81.9–84.4 1.11 pts — No
80% 83.4–85.9 82.0–84.3 0.92 pts — No
75% 83.5–85.7 82.2–84.3 0.75 pts — No
Jordan — CHI at PHX — Actual: CHI 77, PHX 66
Level CHI range PHX range Overlap Tol Warning Actual landed in range?
95% 82.3–87.5 80.7–85.9 3.56 pts — No
90% 82.7–87.0 81.1–85.4 2.75 pts — No
85% 83.0–86.8 81.4–85.2 2.21 pts — No
80% 83.2–86.6 81.6–85.0 1.8 pts — No
75% 83.3–86.4 81.8–84.8 1.45 pts — No
Darren "Dimes" Lin — CHI at PHX — Actual: CHI 77, PHX 66
Level CHI range PHX range Overlap Tol Warning Actual landed in range?
95% 83.2–88.1 81.1–85.2 1.99 pts — No
90% 83.3–87.4 81.3–84.9 1.63 pts — No
85% 83.4–86.7 81.4–84.7 1.34 pts — No
80% 83.4–86.5 81.7–84.5 1.08 pts — No
75% 83.5–86.2 81.9–84.3 0.77 pts — No
Maya Jefferson — CHI at PHX — Actual: CHI 77, PHX 66
Level CHI range PHX range Overlap Tol Warning Actual landed in range?
95% 82.6–86.5 81.2–85.0 2.43 pts — No
90% 82.9–86.2 81.5–84.7 1.81 pts — No
85% 83.1–86.0 81.7–84.5 1.41 pts — No
80% 83.3–85.8 81.9–84.4 1.1 pts — No
75% 83.4–85.7 82.0–84.2 0.84 pts — No
Lexi — CHI at PHX — Actual: CHI 77, PHX 66
Level CHI range PHX range Overlap Tol Warning Actual landed in range?
95% 83.5–87.4 81.5–85.4 1.98 pts — No
90% 83.5–86.6 81.7–85.1 1.61 pts — No
85% 83.6–86.4 81.9–85.0 1.39 pts — No
80% 83.7–86.0 82.0–84.7 1.01 pts — No
75% 83.8–85.9 82.2–84.5 0.66 pts — No
Coach Sarah Watanabe — CHI at PHX — Actual: CHI 77, PHX 66
Level CHI range PHX range Overlap Tol Warning Actual landed in range?
95% 83.7–89.2 81.1–87.3 3.59 pts — No
90% 84.0–88.2 81.6–86.7 2.75 pts — No
85% 84.2–88.0 81.9–86.4 2.18 pts — No
80% 84.3–87.4 82.1–86.2 1.84 pts — No
75% 84.4–87.1 82.3–85.9 1.59 pts — No