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Golden State Valkyries at Los Angeles Sparks

GS 76 – LAS 75

September 24, 2026 · Final

Dr. Lila Shah

Best model for this game

Dr. Lila Shah
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 GS at LAS

All 12 models’ predicted scores

GS — one dot per model LAS — one dot per model Actual: GS 76, LAS 75
Vince Chambers
GS 77.3–83.0 LAS 81.6–85.9 Overlap 1.43 pts Actual: GS 76, LAS 75

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.8) — by 3.0 points. The ranges overlap some — there's real uncertainty here.

GS 78.2–82.8 LAS 81.9–85.5 Overlap 0.85 pts Actual: GS 76, LAS 75

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.8) — by 3.0 points. The ranges barely touch.

GS 78.5–82.5 LAS 82.1–85.3 Overlap 0.42 pts Actual: GS 76, LAS 75

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.8) — by 3.0 points. The ranges barely touch.

GS 78.8–82.3 LAS 82.3–85.1 Overlap 0.01 pts Actual: GS 76, LAS 75

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.8) — by 3.0 points. The ranges barely touch.

GS 79.0–82.2 LAS 82.4–85.0 No overlap Actual: GS 76, LAS 75

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.8) — by 3.0 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Vince Chambers (#1)
t-statistic
-23.11
p-value
1.20e-71

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
GS 77.5–83.3 LAS 81.7–85.9 Overlap 1.64 pts Actual: GS 76, LAS 75

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.9) over Golden State Valkyries (avg. 80.7) — by 3.2 points. The ranges overlap some — there's real uncertainty here.

GS 77.8–83.1 LAS 82.0–85.4 Overlap 1.13 pts Actual: GS 76, LAS 75

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.9) over Golden State Valkyries (avg. 80.7) — by 3.2 points. The ranges overlap some — there's real uncertainty here.

GS 78.2–82.9 LAS 82.3–85.4 Overlap 0.6 pts Actual: GS 76, LAS 75

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.9) over Golden State Valkyries (avg. 80.7) — by 3.2 points. The ranges barely touch.

GS 78.5–82.6 LAS 82.6–85.2 Overlap 0.03 pts Actual: GS 76, LAS 75

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.9) over Golden State Valkyries (avg. 80.7) — by 3.2 points. The ranges barely touch.

GS 78.8–82.4 LAS 82.7–85.0 No overlap Actual: GS 76, LAS 75

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.9) over Golden State Valkyries (avg. 80.7) — by 3.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Reg (#2)
t-statistic
-22.71
p-value
9.30e-70

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
GS 76.7–82.9 LAS 81.6–85.9 Overlap 1.39 pts Actual: GS 76, LAS 75

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 3.1 points. The ranges overlap some — there's real uncertainty here.

GS 77.9–82.7 LAS 81.9–85.5 Overlap 0.81 pts Actual: GS 76, LAS 75

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 3.1 points. The ranges barely touch.

GS 78.7–82.5 LAS 82.3–85.1 Overlap 0.19 pts Actual: GS 76, LAS 75

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 3.1 points. The ranges barely touch.

GS 78.8–82.3 LAS 82.4–84.8 No overlap Actual: GS 76, LAS 75

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 3.1 points. The 80% ranges don't overlap at all — a confident model.

GS 79.0–81.9 LAS 82.5–84.7 No overlap Actual: GS 76, LAS 75

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 3.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-23.52
p-value
5.45e-74

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
GS 77.6–83.4 LAS 81.8–85.9 Overlap 1.61 pts Actual: GS 76, LAS 75

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.7) — by 2.9 points. The ranges overlap some — there's real uncertainty here.

GS 78.0–83.0 LAS 82.3–85.3 Overlap 0.65 pts Actual: GS 76, LAS 75

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.7) — by 2.9 points. The ranges barely touch.

GS 78.6–82.6 LAS 82.4–85.2 Overlap 0.18 pts Actual: GS 76, LAS 75

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.7) — by 2.9 points. The ranges barely touch.

GS 79.0–82.4 LAS 82.6–84.9 No overlap Actual: GS 76, LAS 75

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.7) — by 2.9 points. The 80% ranges don't overlap at all — a confident model.

GS 79.2–82.3 LAS 82.6–84.7 No overlap Actual: GS 76, LAS 75

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.7) — by 2.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Kevin (#4)
t-statistic
-22.17
p-value
3.64e-68

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
GS 78.1–84.1 LAS 81.0–85.7 Overlap 3.07 pts Actual: GS 76, LAS 75

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.3) over Golden State Valkyries (avg. 81.3) — by 2.1 points. The ranges overlap almost entirely, so one game could go either way.

GS 79.2–83.5 LAS 81.4–85.3 Overlap 2.13 pts Actual: GS 76, LAS 75

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.3) over Golden State Valkyries (avg. 81.3) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

GS 79.6–83.1 LAS 81.6–85.1 Overlap 1.52 pts Actual: GS 76, LAS 75

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.3) over Golden State Valkyries (avg. 81.3) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

GS 79.8–82.9 LAS 81.8–84.9 Overlap 1.07 pts Actual: GS 76, LAS 75

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.3) over Golden State Valkyries (avg. 81.3) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

GS 79.8–82.8 LAS 82.0–84.7 Overlap 0.84 pts Actual: GS 76, LAS 75

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.3) over Golden State Valkyries (avg. 81.3) — by 2.1 points. The ranges barely touch.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-14.78
p-value
1.85e-38

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

Ice
GS 78.2–82.9 LAS 81.8–86.5 Overlap 1.12 pts Actual: GS 76, LAS 75

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.8) — by 2.9 points. The ranges overlap some — there's real uncertainty here.

GS 78.6–82.6 LAS 82.0–85.8 Overlap 0.69 pts Actual: GS 76, LAS 75

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.8) — by 2.9 points. The ranges barely touch.

GS 78.8–82.5 LAS 82.1–85.2 Overlap 0.45 pts Actual: GS 76, LAS 75

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.8) — by 2.9 points. The ranges barely touch.

GS 79.2–82.3 LAS 82.4–85.1 No overlap Actual: GS 76, LAS 75

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.8) — by 2.9 points. The 80% ranges don't overlap at all — a confident model.

GS 79.7–82.2 LAS 82.5–84.9 No overlap Actual: GS 76, LAS 75

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.8) — by 2.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Ice (#6)
t-statistic
-23.06
p-value
6.92e-74

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
GS 76.9–83.7 LAS 81.5–85.7 Overlap 2.23 pts Actual: GS 76, LAS 75

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 2.9 points. The ranges overlap some — there's real uncertainty here.

GS 78.3–83.3 LAS 81.8–85.3 Overlap 1.5 pts Actual: GS 76, LAS 75

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 2.9 points. The ranges overlap some — there's real uncertainty here.

GS 78.8–82.8 LAS 82.0–85.1 Overlap 0.8 pts Actual: GS 76, LAS 75

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 2.9 points. The ranges barely touch.

GS 79.1–82.5 LAS 82.2–84.9 Overlap 0.32 pts Actual: GS 76, LAS 75

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 2.9 points. The ranges barely touch.

GS 79.3–82.2 LAS 82.3–84.8 No overlap Actual: GS 76, LAS 75

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 2.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jamal (#7)
t-statistic
-21.68
p-value
1.31e-64

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
GS 77.6–83.3 LAS 81.2–86.7 Overlap 2.16 pts Actual: GS 76, LAS 75

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.7) — by 3.0 points. The ranges overlap some — there's real uncertainty here.

GS 78.1–82.8 LAS 81.9–85.6 Overlap 0.81 pts Actual: GS 76, LAS 75

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.7) — by 3.0 points. The ranges barely touch.

GS 78.4–82.6 LAS 82.1–85.0 Overlap 0.55 pts Actual: GS 76, LAS 75

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.7) — by 3.0 points. The ranges barely touch.

GS 78.8–82.4 LAS 82.3–84.9 Overlap 0.14 pts Actual: GS 76, LAS 75

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.7) — by 3.0 points. The ranges barely touch.

GS 78.9–82.3 LAS 82.5–84.8 No overlap Actual: GS 76, LAS 75

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.7) — by 3.0 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jordan (#8)
t-statistic
-21.09
p-value
2.09e-65

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
GS 76.8–82.8 LAS 81.4–85.9 Overlap 1.39 pts Actual: GS 76, LAS 75

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.5) — by 3.1 points. The ranges overlap some — there's real uncertainty here.

GS 77.4–82.6 LAS 81.8–85.6 Overlap 0.83 pts Actual: GS 76, LAS 75

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.5) — by 3.1 points. The ranges barely touch.

GS 78.2–82.5 LAS 82.0–85.3 Overlap 0.48 pts Actual: GS 76, LAS 75

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.5) — by 3.1 points. The ranges barely touch.

GS 78.5–82.3 LAS 82.2–85.2 Overlap 0.13 pts Actual: GS 76, LAS 75

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.5) — by 3.1 points. The ranges barely touch.

GS 78.7–82.1 LAS 82.3–85.0 No overlap Actual: GS 76, LAS 75

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.5) — by 3.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
-22.93
p-value
1.40e-70

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
GS 77.2–83.0 LAS 81.3–86.0 Overlap 1.69 pts Actual: GS 76, LAS 75

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 3.0 points. The ranges overlap some — there's real uncertainty here.

GS 78.3–82.5 LAS 81.7–85.6 Overlap 0.86 pts Actual: GS 76, LAS 75

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 3.0 points. The ranges barely touch.

GS 78.7–82.3 LAS 81.9–85.4 Overlap 0.43 pts Actual: GS 76, LAS 75

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 3.0 points. The ranges barely touch.

GS 79.1–82.2 LAS 82.1–85.2 Overlap 0.07 pts Actual: GS 76, LAS 75

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 3.0 points. The ranges barely touch.

GS 79.1–82.1 LAS 82.3–85.0 No overlap Actual: GS 76, LAS 75

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.6) — by 3.0 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-23.33
p-value
5.80e-74

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
GS 77.0–83.0 LAS 81.4–86.0 Overlap 1.58 pts Actual: GS 76, LAS 75

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.6) — by 3.1 points. The ranges overlap some — there's real uncertainty here.

GS 77.9–82.7 LAS 81.8–85.6 Overlap 0.97 pts Actual: GS 76, LAS 75

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.6) — by 3.1 points. The ranges barely touch.

GS 78.2–82.5 LAS 82.0–85.3 Overlap 0.53 pts Actual: GS 76, LAS 75

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.6) — by 3.1 points. The ranges barely touch.

GS 78.6–82.3 LAS 82.2–85.2 Overlap 0.13 pts Actual: GS 76, LAS 75

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.6) — by 3.1 points. The ranges barely touch.

GS 78.9–82.2 LAS 82.3–85.0 No overlap Actual: GS 76, LAS 75

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.7) over Golden State Valkyries (avg. 80.6) — by 3.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Lexi (#11)
t-statistic
-23.58
p-value
4.84e-74

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
GS 77.5–83.0 LAS 81.5–87.4 Overlap 1.52 pts Actual: GS 76, LAS 75

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.7) — by 2.9 points. The ranges overlap some — there's real uncertainty here.

GS 78.0–82.8 LAS 81.7–85.8 Overlap 1.12 pts Actual: GS 76, LAS 75

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.7) — by 2.9 points. The ranges overlap some — there's real uncertainty here.

GS 78.5–82.5 LAS 82.0–85.3 Overlap 0.55 pts Actual: GS 76, LAS 75

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.7) — by 2.9 points. The ranges barely touch.

GS 78.8–82.4 LAS 82.3–85.1 Overlap 0.18 pts Actual: GS 76, LAS 75

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.7) — by 2.9 points. The ranges barely touch.

GS 79.0–82.3 LAS 82.3–84.8 No overlap Actual: GS 76, LAS 75

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.6) over Golden State Valkyries (avg. 80.7) — by 2.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-20.15
p-value
1.15e-61

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 — GS at LAS — Actual: GS 76, LAS 75
Level GS range LAS range Overlap Tol Warning Actual landed in range?
95% 77.3–83.0 81.6–85.9 1.43 pts — No
90% 78.2–82.8 81.9–85.5 0.85 pts — No
85% 78.5–82.5 82.1–85.3 0.42 pts — No
80% 78.8–82.3 82.3–85.1 0.01 pts — No
75% 79.0–82.2 82.4–85.0 — pts — No
Reg — GS at LAS — Actual: GS 76, LAS 75
Level GS range LAS range Overlap Tol Warning Actual landed in range?
95% 77.5–83.3 81.7–85.9 1.64 pts — No
90% 77.8–83.1 82.0–85.4 1.13 pts — No
85% 78.2–82.9 82.3–85.4 0.6 pts — No
80% 78.5–82.6 82.6–85.2 0.03 pts — No
75% 78.8–82.4 82.7–85.0 — pts — No
Dr. Wallace — GS at LAS — Actual: GS 76, LAS 75
Level GS range LAS range Overlap Tol Warning Actual landed in range?
95% 76.7–82.9 81.6–85.9 1.39 pts — No
90% 77.9–82.7 81.9–85.5 0.81 pts — No
85% 78.7–82.5 82.3–85.1 0.19 pts — No
80% 78.8–82.3 82.4–84.8 — pts — No
75% 79.0–81.9 82.5–84.7 — pts — No
Kevin — GS at LAS — Actual: GS 76, LAS 75
Level GS range LAS range Overlap Tol Warning Actual landed in range?
95% 77.6–83.4 81.8–85.9 1.61 pts — No
90% 78.0–83.0 82.3–85.3 0.65 pts — No
85% 78.6–82.6 82.4–85.2 0.18 pts — No
80% 79.0–82.4 82.6–84.9 — pts — No
75% 79.2–82.3 82.6–84.7 — pts — No
Dr. Lila Shah — GS at LAS — Actual: GS 76, LAS 75
Level GS range LAS range Overlap Tol Warning Actual landed in range?
95% 78.1–84.1 81.0–85.7 3.07 pts — No
90% 79.2–83.5 81.4–85.3 2.13 pts — No
85% 79.6–83.1 81.6–85.1 1.52 pts — No
80% 79.8–82.9 81.8–84.9 1.07 pts — No
75% 79.8–82.8 82.0–84.7 0.84 pts — No
Ice — GS at LAS — Actual: GS 76, LAS 75
Level GS range LAS range Overlap Tol Warning Actual landed in range?
95% 78.2–82.9 81.8–86.5 1.12 pts — No
90% 78.6–82.6 82.0–85.8 0.69 pts — No
85% 78.8–82.5 82.1–85.2 0.45 pts — No
80% 79.2–82.3 82.4–85.1 — pts — No
75% 79.7–82.2 82.5–84.9 — pts — No
Jamal — GS at LAS — Actual: GS 76, LAS 75
Level GS range LAS range Overlap Tol Warning Actual landed in range?
95% 76.9–83.7 81.5–85.7 2.23 pts — No
90% 78.3–83.3 81.8–85.3 1.5 pts — No
85% 78.8–82.8 82.0–85.1 0.8 pts — No
80% 79.1–82.5 82.2–84.9 0.32 pts — No
75% 79.3–82.2 82.3–84.8 — pts — No
Jordan — GS at LAS — Actual: GS 76, LAS 75
Level GS range LAS range Overlap Tol Warning Actual landed in range?
95% 77.6–83.3 81.2–86.7 2.16 pts — No
90% 78.1–82.8 81.9–85.6 0.81 pts — No
85% 78.4–82.6 82.1–85.0 0.55 pts — No
80% 78.8–82.4 82.3–84.9 0.14 pts — No
75% 78.9–82.3 82.5–84.8 — pts — No
Darren "Dimes" Lin — GS at LAS — Actual: GS 76, LAS 75
Level GS range LAS range Overlap Tol Warning Actual landed in range?
95% 76.8–82.8 81.4–85.9 1.39 pts — No
90% 77.4–82.6 81.8–85.6 0.83 pts — No
85% 78.2–82.5 82.0–85.3 0.48 pts — No
80% 78.5–82.3 82.2–85.2 0.13 pts — No
75% 78.7–82.1 82.3–85.0 — pts — No
Maya Jefferson — GS at LAS — Actual: GS 76, LAS 75
Level GS range LAS range Overlap Tol Warning Actual landed in range?
95% 77.2–83.0 81.3–86.0 1.69 pts — No
90% 78.3–82.5 81.7–85.6 0.86 pts — No
85% 78.7–82.3 81.9–85.4 0.43 pts — No
80% 79.1–82.2 82.1–85.2 0.07 pts — No
75% 79.1–82.1 82.3–85.0 — pts — No
Lexi — GS at LAS — Actual: GS 76, LAS 75
Level GS range LAS range Overlap Tol Warning Actual landed in range?
95% 77.0–83.0 81.4–86.0 1.58 pts — No
90% 77.9–82.7 81.8–85.6 0.97 pts — No
85% 78.2–82.5 82.0–85.3 0.53 pts — No
80% 78.6–82.3 82.2–85.2 0.13 pts — No
75% 78.9–82.2 82.3–85.0 — pts — No
Coach Sarah Watanabe — GS at LAS — Actual: GS 76, LAS 75
Level GS range LAS range Overlap Tol Warning Actual landed in range?
95% 77.5–83.0 81.5–87.4 1.52 pts — No
90% 78.0–82.8 81.7–85.8 1.12 pts — No
85% 78.5–82.5 82.0–85.3 0.55 pts — No
80% 78.8–82.4 82.3–85.1 0.18 pts — No
75% 79.0–82.3 82.3–84.8 — pts — No