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WNBA · June 13, 2026
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Los Angeles Sparks at Phoenix Mercury

LAS 111 – PHX 102

June 13, 2026 · Final

Coach Sarah Watanabe

Best model for this game

Coach Sarah Watanabe
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 LAS at PHX

All 12 models’ predicted scores

LAS — one dot per model PHX — one dot per model Actual: LAS 111, PHX 102
Vince Chambers
LAS 82.4–87.3 PHX 81.0–85.8 Overlap 3.44 pts Actual: LAS 111, PHX 102

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.8) over Phoenix Mercury (avg. 83.4) — by 1.4 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.7–86.9 PHX 81.4–85.4 Overlap 2.66 pts Actual: LAS 111, PHX 102

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.8) over Phoenix Mercury (avg. 83.4) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

LAS 83.0–86.6 PHX 81.6–85.2 Overlap 2.15 pts Actual: LAS 111, PHX 102

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.8) over Phoenix Mercury (avg. 83.4) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

LAS 83.2–86.4 PHX 81.8–85.0 Overlap 1.75 pts Actual: LAS 111, PHX 102

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.8) over Phoenix Mercury (avg. 83.4) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

LAS 83.4–86.3 PHX 82.0–84.8 Overlap 1.43 pts Actual: LAS 111, PHX 102

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.8) over Phoenix Mercury (avg. 83.4) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Vince Chambers (#1)
t-statistic
8.57
p-value
7.50e-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.

Reg
LAS 81.9–87.5 PHX 80.7–85.9 Overlap 3.92 pts Actual: LAS 111, PHX 102

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.3) — by 1.4 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.4–87.1 PHX 81.1–85.4 Overlap 3.06 pts Actual: LAS 111, PHX 102

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.3) — by 1.4 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.7–86.8 PHX 81.4–85.2 Overlap 2.5 pts Actual: LAS 111, PHX 102

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.3) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

LAS 82.9–86.6 PHX 81.6–85.0 Overlap 2.06 pts Actual: LAS 111, PHX 102

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.3) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

LAS 83.1–86.4 PHX 81.8–84.8 Overlap 1.71 pts Actual: LAS 111, PHX 102

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.3) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
7.85
p-value
5.30e-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.

Dr. Wallace Tol Warning
LAS 81.8–87.8 PHX 81.0–85.3 Overlap 3.46 pts Actual: LAS 111, PHX 102

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.8) over Phoenix Mercury (avg. 83.6) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.3–87.3 PHX 81.8–85.1 Overlap 2.83 pts Actual: LAS 111, PHX 102

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.8) over Phoenix Mercury (avg. 83.6) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 82.6–87.0 PHX 82.2–85.0 Overlap 2.34 pts Actual: LAS 111, PHX 102

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.8) over Phoenix Mercury (avg. 83.6) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 82.9–86.8 PHX 82.3–84.9 Overlap 2.04 pts Actual: LAS 111, PHX 102

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.8) over Phoenix Mercury (avg. 83.6) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.1–86.6 PHX 82.4–84.8 Overlap 1.74 pts Actual: LAS 111, PHX 102

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.8) over Phoenix Mercury (avg. 83.6) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Wallace (#3)
t-statistic
6.45
p-value
1.23e-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.

Kevin
LAS 82.1–87.2 PHX 81.5–85.7 Overlap 3.62 pts Actual: LAS 111, PHX 102

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.6) — by 1.1 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.5–86.8 PHX 81.8–85.4 Overlap 2.87 pts Actual: LAS 111, PHX 102

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.6) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

LAS 82.8–86.6 PHX 82.1–85.2 Overlap 2.38 pts Actual: LAS 111, PHX 102

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.6) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

LAS 83.0–86.4 PHX 82.2–85.0 Overlap 2.0 pts Actual: LAS 111, PHX 102

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.6) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

LAS 83.2–86.2 PHX 82.4–84.9 Overlap 1.69 pts Actual: LAS 111, PHX 102

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.6) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Kevin (#4)
t-statistic
6.58
p-value
6.61e-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.

Dr. Lila Shah
LAS 81.8–86.5 PHX 81.3–85.5 Overlap 3.7 pts Actual: LAS 111, PHX 102

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.1) over Phoenix Mercury (avg. 83.4) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 82.2–86.1 PHX 81.7–85.1 Overlap 2.99 pts Actual: LAS 111, PHX 102

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.1) over Phoenix Mercury (avg. 83.4) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 82.4–85.9 PHX 81.9–84.9 Overlap 2.53 pts Actual: LAS 111, PHX 102

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.1) over Phoenix Mercury (avg. 83.4) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 82.6–85.7 PHX 82.1–84.8 Overlap 2.17 pts Actual: LAS 111, PHX 102

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.1) over Phoenix Mercury (avg. 83.4) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 82.8–85.5 PHX 82.2–84.6 Overlap 1.87 pts Actual: LAS 111, PHX 102

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.1) over Phoenix Mercury (avg. 83.4) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
4.78
p-value
3.99e-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.

Ice
LAS 81.8–87.4 PHX 80.6–86.5 Overlap 4.68 pts Actual: LAS 111, PHX 102

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.6) — by 1.0 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.3–86.9 PHX 81.1–86.0 Overlap 3.76 pts Actual: LAS 111, PHX 102

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.6) — by 1.0 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.6–86.6 PHX 81.4–85.7 Overlap 3.16 pts Actual: LAS 111, PHX 102

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.6) — by 1.0 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.8–86.4 PHX 81.6–85.5 Overlap 2.7 pts Actual: LAS 111, PHX 102

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.6) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

LAS 83.0–86.2 PHX 81.8–85.3 Overlap 2.32 pts Actual: LAS 111, PHX 102

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.6) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Ice (#6)
t-statistic
5.25
p-value
4.69e-07

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
LAS 81.8–87.4 PHX 80.9–86.0 Overlap 4.16 pts Actual: LAS 111, PHX 102

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.4) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.2–87.0 PHX 81.3–85.6 Overlap 3.3 pts Actual: LAS 111, PHX 102

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.4) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.5–86.7 PHX 81.6–85.3 Overlap 2.74 pts Actual: LAS 111, PHX 102

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.4) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 82.8–86.4 PHX 81.8–85.1 Overlap 2.31 pts Actual: LAS 111, PHX 102

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.4) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.0–86.2 PHX 81.9–84.9 Overlap 1.96 pts Actual: LAS 111, PHX 102

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.4) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jamal (#7)
t-statistic
6.42
p-value
1.40e-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
LAS 82.4–86.9 PHX 81.1–85.8 Overlap 3.43 pts Actual: LAS 111, PHX 102

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.4) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.7–86.5 PHX 81.4–85.4 Overlap 2.69 pts Actual: LAS 111, PHX 102

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.4) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.0–86.3 PHX 81.7–85.2 Overlap 2.21 pts Actual: LAS 111, PHX 102

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.4) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.1–86.1 PHX 81.9–85.0 Overlap 1.84 pts Actual: LAS 111, PHX 102

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.4) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.3–85.9 PHX 82.0–84.8 Overlap 1.53 pts Actual: LAS 111, PHX 102

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.4) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jordan (#8)
t-statistic
7.47
p-value
4.58e-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.

Darren "Dimes" Lin
LAS 82.0–87.2 PHX 81.5–85.7 Overlap 3.65 pts Actual: LAS 111, PHX 102

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.6) — by 1.0 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.4–86.8 PHX 81.8–85.3 Overlap 2.9 pts Actual: LAS 111, PHX 102

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.6) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

LAS 82.7–86.5 PHX 82.0–85.1 Overlap 2.4 pts Actual: LAS 111, PHX 102

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.6) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

LAS 82.9–86.3 PHX 82.2–84.9 Overlap 2.03 pts Actual: LAS 111, PHX 102

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.6) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

LAS 83.1–86.1 PHX 82.4–84.8 Overlap 1.71 pts Actual: LAS 111, PHX 102

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.6) over Phoenix Mercury (avg. 83.6) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
6.44
p-value
1.44e-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.

Maya Jefferson
LAS 81.8–87.6 PHX 80.8–86.1 Overlap 4.32 pts Actual: LAS 111, PHX 102

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.5) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.3–87.1 PHX 81.2–85.7 Overlap 3.43 pts Actual: LAS 111, PHX 102

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.5) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.6–86.8 PHX 81.5–85.4 Overlap 2.84 pts Actual: LAS 111, PHX 102

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.5) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 82.8–86.6 PHX 81.7–85.2 Overlap 2.4 pts Actual: LAS 111, PHX 102

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.5) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.0–86.4 PHX 81.9–85.0 Overlap 2.02 pts Actual: LAS 111, PHX 102

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.7) over Phoenix Mercury (avg. 83.5) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Maya Jefferson (#10)
t-statistic
6.52
p-value
8.24e-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.

Lexi
LAS 82.3–87.4 PHX 81.5–85.9 Overlap 3.56 pts Actual: LAS 111, PHX 102

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.7–87.0 PHX 81.9–85.5 Overlap 2.8 pts Actual: LAS 111, PHX 102

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.0–86.7 PHX 82.1–85.3 Overlap 2.31 pts Actual: LAS 111, PHX 102

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.2–86.5 PHX 82.3–85.1 Overlap 1.92 pts Actual: LAS 111, PHX 102

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.4–86.4 PHX 82.4–85.0 Overlap 1.61 pts Actual: LAS 111, PHX 102

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.9) over Phoenix Mercury (avg. 83.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Lexi (#11)
t-statistic
7.20
p-value
2.24e-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
LAS 82.5–88.4 PHX 80.1–85.2 Overlap 2.67 pts Actual: LAS 111, PHX 102

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.5) over Phoenix Mercury (avg. 82.7) — by 2.8 points. The ranges overlap some — there's real uncertainty here.

LAS 83.0–87.9 PHX 80.5–84.8 Overlap 1.79 pts Actual: LAS 111, PHX 102

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.5) over Phoenix Mercury (avg. 82.7) — by 2.8 points. The ranges overlap some — there's real uncertainty here.

LAS 83.3–87.6 PHX 80.8–84.5 Overlap 1.21 pts Actual: LAS 111, PHX 102

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.5) over Phoenix Mercury (avg. 82.7) — by 2.8 points. The ranges overlap some — there's real uncertainty here.

LAS 83.5–87.4 PHX 81.0–84.3 Overlap 0.77 pts Actual: LAS 111, PHX 102

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.5) over Phoenix Mercury (avg. 82.7) — by 2.8 points. The ranges barely touch.

LAS 83.7–87.2 PHX 81.2–84.1 Overlap 0.4 pts Actual: LAS 111, PHX 102

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.5) over Phoenix Mercury (avg. 82.7) — by 2.8 points. The ranges barely touch.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
14.88
p-value
7.17e-32

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 — LAS at PHX — Actual: LAS 111, PHX 102
Level LAS range PHX range Overlap Tol Warning Actual landed in range?
95% 82.4–87.3 81.0–85.8 3.44 pts — No
90% 82.7–86.9 81.4–85.4 2.66 pts — No
85% 83.0–86.6 81.6–85.2 2.15 pts — No
80% 83.2–86.4 81.8–85.0 1.75 pts — No
75% 83.4–86.3 82.0–84.8 1.43 pts — No
Reg — LAS at PHX — Actual: LAS 111, PHX 102
Level LAS range PHX range Overlap Tol Warning Actual landed in range?
95% 81.9–87.5 80.7–85.9 3.92 pts — No
90% 82.4–87.1 81.1–85.4 3.06 pts — No
85% 82.7–86.8 81.4–85.2 2.5 pts — No
80% 82.9–86.6 81.6–85.0 2.06 pts — No
75% 83.1–86.4 81.8–84.8 1.71 pts — No
Dr. Wallace — LAS at PHX — Actual: LAS 111, PHX 102
Level LAS range PHX range Overlap Tol Warning Actual landed in range?
95% 81.8–87.8 81.0–85.3 3.46 pts Yes No
90% 82.3–87.3 81.8–85.1 2.83 pts Yes No
85% 82.6–87.0 82.2–85.0 2.34 pts Yes No
80% 82.9–86.8 82.3–84.9 2.04 pts Yes No
75% 83.1–86.6 82.4–84.8 1.74 pts Yes No
Kevin — LAS at PHX — Actual: LAS 111, PHX 102
Level LAS range PHX range Overlap Tol Warning Actual landed in range?
95% 82.1–87.2 81.5–85.7 3.62 pts — No
90% 82.5–86.8 81.8–85.4 2.87 pts — No
85% 82.8–86.6 82.1–85.2 2.38 pts — No
80% 83.0–86.4 82.2–85.0 2.0 pts — No
75% 83.2–86.2 82.4–84.9 1.69 pts — No
Dr. Lila Shah — LAS at PHX — Actual: LAS 111, PHX 102
Level LAS range PHX range Overlap Tol Warning Actual landed in range?
95% 81.8–86.5 81.3–85.5 3.7 pts — No
90% 82.2–86.1 81.7–85.1 2.99 pts — No
85% 82.4–85.9 81.9–84.9 2.53 pts — No
80% 82.6–85.7 82.1–84.8 2.17 pts — No
75% 82.8–85.5 82.2–84.6 1.87 pts — No
Ice — LAS at PHX — Actual: LAS 111, PHX 102
Level LAS range PHX range Overlap Tol Warning Actual landed in range?
95% 81.8–87.4 80.6–86.5 4.68 pts — No
90% 82.3–86.9 81.1–86.0 3.76 pts — No
85% 82.6–86.6 81.4–85.7 3.16 pts — No
80% 82.8–86.4 81.6–85.5 2.7 pts — No
75% 83.0–86.2 81.8–85.3 2.32 pts — No
Jamal — LAS at PHX — Actual: LAS 111, PHX 102
Level LAS range PHX range Overlap Tol Warning Actual landed in range?
95% 81.8–87.4 80.9–86.0 4.16 pts — No
90% 82.2–87.0 81.3–85.6 3.3 pts — No
85% 82.5–86.7 81.6–85.3 2.74 pts — No
80% 82.8–86.4 81.8–85.1 2.31 pts — No
75% 83.0–86.2 81.9–84.9 1.96 pts — No
Jordan — LAS at PHX — Actual: LAS 111, PHX 102
Level LAS range PHX range Overlap Tol Warning Actual landed in range?
95% 82.4–86.9 81.1–85.8 3.43 pts — No
90% 82.7–86.5 81.4–85.4 2.69 pts — No
85% 83.0–86.3 81.7–85.2 2.21 pts — No
80% 83.1–86.1 81.9–85.0 1.84 pts — No
75% 83.3–85.9 82.0–84.8 1.53 pts — No
Darren "Dimes" Lin — LAS at PHX — Actual: LAS 111, PHX 102
Level LAS range PHX range Overlap Tol Warning Actual landed in range?
95% 82.0–87.2 81.5–85.7 3.65 pts — No
90% 82.4–86.8 81.8–85.3 2.9 pts — No
85% 82.7–86.5 82.0–85.1 2.4 pts — No
80% 82.9–86.3 82.2–84.9 2.03 pts — No
75% 83.1–86.1 82.4–84.8 1.71 pts — No
Maya Jefferson — LAS at PHX — Actual: LAS 111, PHX 102
Level LAS range PHX range Overlap Tol Warning Actual landed in range?
95% 81.8–87.6 80.8–86.1 4.32 pts — No
90% 82.3–87.1 81.2–85.7 3.43 pts — No
85% 82.6–86.8 81.5–85.4 2.84 pts — No
80% 82.8–86.6 81.7–85.2 2.4 pts — No
75% 83.0–86.4 81.9–85.0 2.02 pts — No
Lexi — LAS at PHX — Actual: LAS 111, PHX 102
Level LAS range PHX range Overlap Tol Warning Actual landed in range?
95% 82.3–87.4 81.5–85.9 3.56 pts — No
90% 82.7–87.0 81.9–85.5 2.8 pts — No
85% 83.0–86.7 82.1–85.3 2.31 pts — No
80% 83.2–86.5 82.3–85.1 1.92 pts — No
75% 83.4–86.4 82.4–85.0 1.61 pts — No
Coach Sarah Watanabe — LAS at PHX — Actual: LAS 111, PHX 102
Level LAS range PHX range Overlap Tol Warning Actual landed in range?
95% 82.5–88.4 80.1–85.2 2.67 pts — No
90% 83.0–87.9 80.5–84.8 1.79 pts — No
85% 83.3–87.6 80.8–84.5 1.21 pts — No
80% 83.5–87.4 81.0–84.3 0.77 pts — No
75% 83.7–87.2 81.2–84.1 0.4 pts — No