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Los Angeles Sparks at Indiana Fever

LAS 87 – IND 111

June 27, 2026 · Final

Jamal

Best model for this game

Jamal
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 IND

All 12 models’ predicted scores

LAS — one dot per model IND — one dot per model Actual: LAS 87, IND 111
Vince Chambers
LAS 84.2–88.2 IND 85.3–89.1 Overlap 2.82 pts Actual: LAS 87, IND 111

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.2) over Los Angeles Sparks (avg. 86.2) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

LAS 84.6–87.8 IND 85.6–88.8 Overlap 2.2 pts Actual: LAS 87, IND 111

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.2) over Los Angeles Sparks (avg. 86.2) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

LAS 84.8–87.6 IND 85.8–88.6 Overlap 1.8 pts Actual: LAS 87, IND 111

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.2) over Los Angeles Sparks (avg. 86.2) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

LAS 84.9–87.5 IND 86.0–88.4 Overlap 1.49 pts Actual: LAS 87, IND 111

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.2) over Los Angeles Sparks (avg. 86.2) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

LAS 85.0–87.3 IND 86.1–88.3 Overlap 1.24 pts Actual: LAS 87, IND 111

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.2) over Los Angeles Sparks (avg. 86.2) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Vince Chambers (#1)
t-statistic
-7.59
p-value
2.78e-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.

Reg
LAS 84.1–88.3 IND 84.7–89.5 Overlap 3.59 pts Actual: LAS 87, IND 111

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.1) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.4–87.9 IND 85.1–89.1 Overlap 2.87 pts Actual: LAS 87, IND 111

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.1) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.7–87.7 IND 85.3–88.9 Overlap 2.39 pts Actual: LAS 87, IND 111

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.1) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.8–87.5 IND 85.5–88.7 Overlap 2.03 pts Actual: LAS 87, IND 111

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.1) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 85.0–87.4 IND 85.7–88.5 Overlap 1.73 pts Actual: LAS 87, IND 111

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.1) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
-5.83
p-value
3.19e-08

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

Dr. Wallace
LAS 83.4–88.3 IND 84.4–89.5 Overlap 3.88 pts Actual: LAS 87, IND 111

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 85.8) — by 1.1 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.8–87.9 IND 84.8–89.1 Overlap 3.07 pts Actual: LAS 87, IND 111

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 85.8) — by 1.1 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.0–87.6 IND 85.1–88.8 Overlap 2.55 pts Actual: LAS 87, IND 111

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 85.8) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

LAS 84.2–87.4 IND 85.3–88.6 Overlap 2.14 pts Actual: LAS 87, IND 111

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 85.8) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

LAS 84.4–87.3 IND 85.5–88.4 Overlap 1.81 pts Actual: LAS 87, IND 111

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 85.8) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-6.47
p-value
1.21e-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 Tol Warning
LAS 82.7–88.2 IND 84.5–89.5 Overlap 3.67 pts Actual: LAS 87, IND 111

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 86.0) — by 1.0 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.3–88.1 IND 84.9–89.1 Overlap 3.24 pts Actual: LAS 87, IND 111

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 86.0) — by 1.0 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.7–87.7 IND 85.2–88.9 Overlap 2.54 pts Actual: LAS 87, IND 111

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 86.0) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

LAS 84.5–87.3 IND 85.4–88.7 Overlap 1.91 pts Actual: LAS 87, IND 111

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 86.0) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

LAS 84.9–87.2 IND 85.5–88.5 Overlap 1.68 pts Actual: LAS 87, IND 111

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 86.0) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Kevin (#4)
t-statistic
-5.20
p-value
6.23e-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.

Dr. Lila Shah Tol Warning
LAS 82.8–87.8 IND 83.7–89.4 Overlap 4.06 pts Actual: LAS 87, IND 111

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.6) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.1–87.6 IND 84.2–89.0 Overlap 3.44 pts Actual: LAS 87, IND 111

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.6) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.1–87.5 IND 84.5–88.7 Overlap 3.07 pts Actual: LAS 87, IND 111

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.6) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.3–87.4 IND 84.7–88.4 Overlap 2.67 pts Actual: LAS 87, IND 111

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.6) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.0–87.1 IND 84.9–88.2 Overlap 2.25 pts Actual: LAS 87, IND 111

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.6) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-3.38
p-value
9.33e-04

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 Tol Warning
LAS 82.3–87.4 IND 84.2–89.1 Overlap 3.24 pts Actual: LAS 87, IND 111

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Los Angeles Sparks (avg. 85.4) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.4–87.1 IND 84.6–88.7 Overlap 2.56 pts Actual: LAS 87, IND 111

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Los Angeles Sparks (avg. 85.4) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 82.6–87.0 IND 84.8–88.5 Overlap 2.16 pts Actual: LAS 87, IND 111

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Los Angeles Sparks (avg. 85.4) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.3–86.9 IND 85.0–88.3 Overlap 1.89 pts Actual: LAS 87, IND 111

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Los Angeles Sparks (avg. 85.4) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.7–86.8 IND 85.2–88.1 Overlap 1.65 pts Actual: LAS 87, IND 111

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Los Angeles Sparks (avg. 85.4) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Ice (#6)
t-statistic
-6.09
p-value
9.46e-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.

Jamal Tol Warning
LAS 82.3–87.8 IND 84.0–90.1 Overlap 3.85 pts Actual: LAS 87, IND 111

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 85.7) — by 1.4 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.7–87.6 IND 84.5–89.6 Overlap 3.11 pts Actual: LAS 87, IND 111

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 85.7) — by 1.4 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.0–87.4 IND 84.8–89.3 Overlap 2.57 pts Actual: LAS 87, IND 111

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 85.7) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

LAS 83.2–87.2 IND 85.0–89.0 Overlap 2.13 pts Actual: LAS 87, IND 111

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 85.7) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

LAS 83.8–87.0 IND 85.2–88.8 Overlap 1.77 pts Actual: LAS 87, IND 111

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.0) over Los Angeles Sparks (avg. 85.7) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jamal (#7)
t-statistic
-6.02
p-value
1.19e-08

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

Jordan
LAS 82.4–88.9 IND 84.2–89.3 Overlap 4.69 pts Actual: LAS 87, IND 111

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Los Angeles Sparks (avg. 85.6) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.9–88.4 IND 84.6–88.9 Overlap 3.75 pts Actual: LAS 87, IND 111

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Los Angeles Sparks (avg. 85.6) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.2–88.0 IND 84.9–88.7 Overlap 3.14 pts Actual: LAS 87, IND 111

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Los Angeles Sparks (avg. 85.6) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.5–87.8 IND 85.1–88.5 Overlap 2.67 pts Actual: LAS 87, IND 111

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Los Angeles Sparks (avg. 85.6) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.7–87.5 IND 85.3–88.3 Overlap 2.28 pts Actual: LAS 87, IND 111

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Los Angeles Sparks (avg. 85.6) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jordan (#8)
t-statistic
-5.60
p-value
1.01e-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.

Darren "Dimes" Lin Tol Warning
LAS 83.1–87.8 IND 83.7–89.8 Overlap 4.1 pts Actual: LAS 87, IND 111

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Los Angeles Sparks (avg. 85.7) — by 1.1 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.2–87.7 IND 84.2–89.3 Overlap 3.48 pts Actual: LAS 87, IND 111

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Los Angeles Sparks (avg. 85.7) — by 1.1 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.2–87.7 IND 84.6–89.0 Overlap 3.13 pts Actual: LAS 87, IND 111

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Los Angeles Sparks (avg. 85.7) — by 1.1 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.3–87.5 IND 84.8–88.8 Overlap 2.67 pts Actual: LAS 87, IND 111

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Los Angeles Sparks (avg. 85.7) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

LAS 83.4–87.1 IND 85.0–88.6 Overlap 2.13 pts Actual: LAS 87, IND 111

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.8) over Los Angeles Sparks (avg. 85.7) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
-4.93
p-value
2.14e-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.

Maya Jefferson Tol Warning
LAS 82.3–87.5 IND 84.4–89.3 Overlap 3.15 pts Actual: LAS 87, IND 111

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.9) over Los Angeles Sparks (avg. 85.6) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.2–87.4 IND 84.8–88.9 Overlap 2.62 pts Actual: LAS 87, IND 111

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.9) over Los Angeles Sparks (avg. 85.6) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.6–87.3 IND 85.0–88.7 Overlap 2.25 pts Actual: LAS 87, IND 111

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.9) over Los Angeles Sparks (avg. 85.6) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.8–87.2 IND 85.2–88.5 Overlap 1.94 pts Actual: LAS 87, IND 111

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.9) over Los Angeles Sparks (avg. 85.6) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 84.0–87.1 IND 85.4–88.3 Overlap 1.65 pts Actual: LAS 87, IND 111

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.9) over Los Angeles Sparks (avg. 85.6) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-6.21
p-value
4.98e-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.

Lexi Tol Warning
LAS 83.1–87.8 IND 84.5–89.3 Overlap 3.31 pts Actual: LAS 87, IND 111

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.9) over Los Angeles Sparks (avg. 85.7) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.3–87.4 IND 84.9–89.0 Overlap 2.52 pts Actual: LAS 87, IND 111

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.9) over Los Angeles Sparks (avg. 85.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.6–87.1 IND 85.2–88.7 Overlap 1.94 pts Actual: LAS 87, IND 111

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.9) over Los Angeles Sparks (avg. 85.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 83.9–87.0 IND 85.4–88.5 Overlap 1.69 pts Actual: LAS 87, IND 111

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.9) over Los Angeles Sparks (avg. 85.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

LAS 84.1–87.0 IND 85.5–88.3 Overlap 1.48 pts Actual: LAS 87, IND 111

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.9) over Los Angeles Sparks (avg. 85.7) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Lexi (#11)
t-statistic
-6.58
p-value
7.14e-10

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

Coach Sarah Watanabe
LAS 83.0–88.5 IND 84.3–89.1 Overlap 4.22 pts Actual: LAS 87, IND 111

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.5–88.1 IND 84.7–88.7 Overlap 3.4 pts Actual: LAS 87, IND 111

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.8–87.8 IND 84.9–88.4 Overlap 2.86 pts Actual: LAS 87, IND 111

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.0–87.6 IND 85.1–88.2 Overlap 2.45 pts Actual: LAS 87, IND 111

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.2–87.4 IND 85.3–88.1 Overlap 2.1 pts Actual: LAS 87, IND 111

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 86.7) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-5.05
p-value
1.25e-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.

View as table
Vince Chambers — LAS at IND — Actual: LAS 87, IND 111
Level LAS range IND range Overlap Tol Warning Actual landed in range?
95% 84.2–88.2 85.3–89.1 2.82 pts — No
90% 84.6–87.8 85.6–88.8 2.2 pts — No
85% 84.8–87.6 85.8–88.6 1.8 pts — No
80% 84.9–87.5 86.0–88.4 1.49 pts — No
75% 85.0–87.3 86.1–88.3 1.24 pts — No
Reg — LAS at IND — Actual: LAS 87, IND 111
Level LAS range IND range Overlap Tol Warning Actual landed in range?
95% 84.1–88.3 84.7–89.5 3.59 pts — No
90% 84.4–87.9 85.1–89.1 2.87 pts — No
85% 84.7–87.7 85.3–88.9 2.39 pts — No
80% 84.8–87.5 85.5–88.7 2.03 pts — No
75% 85.0–87.4 85.7–88.5 1.73 pts — No
Dr. Wallace — LAS at IND — Actual: LAS 87, IND 111
Level LAS range IND range Overlap Tol Warning Actual landed in range?
95% 83.4–88.3 84.4–89.5 3.88 pts — No
90% 83.8–87.9 84.8–89.1 3.07 pts — No
85% 84.0–87.6 85.1–88.8 2.55 pts — No
80% 84.2–87.4 85.3–88.6 2.14 pts — No
75% 84.4–87.3 85.5–88.4 1.81 pts — No
Kevin — LAS at IND — Actual: LAS 87, IND 111
Level LAS range IND range Overlap Tol Warning Actual landed in range?
95% 82.7–88.2 84.5–89.5 3.67 pts Yes No
90% 83.3–88.1 84.9–89.1 3.24 pts Yes No
85% 83.7–87.7 85.2–88.9 2.54 pts Yes No
80% 84.5–87.3 85.4–88.7 1.91 pts Yes No
75% 84.9–87.2 85.5–88.5 1.68 pts Yes No
Dr. Lila Shah — LAS at IND — Actual: LAS 87, IND 111
Level LAS range IND range Overlap Tol Warning Actual landed in range?
95% 82.8–87.8 83.7–89.4 4.06 pts Yes No
90% 83.1–87.6 84.2–89.0 3.44 pts Yes No
85% 83.1–87.5 84.5–88.7 3.07 pts Yes No
80% 83.3–87.4 84.7–88.4 2.67 pts Yes No
75% 84.0–87.1 84.9–88.2 2.25 pts Yes No
Ice — LAS at IND — Actual: LAS 87, IND 111
Level LAS range IND range Overlap Tol Warning Actual landed in range?
95% 82.3–87.4 84.2–89.1 3.24 pts Yes No
90% 82.4–87.1 84.6–88.7 2.56 pts Yes No
85% 82.6–87.0 84.8–88.5 2.16 pts Yes No
80% 83.3–86.9 85.0–88.3 1.89 pts Yes No
75% 83.7–86.8 85.2–88.1 1.65 pts Yes No
Jamal — LAS at IND — Actual: LAS 87, IND 111
Level LAS range IND range Overlap Tol Warning Actual landed in range?
95% 82.3–87.8 84.0–90.1 3.85 pts Yes No
90% 82.7–87.6 84.5–89.6 3.11 pts Yes No
85% 83.0–87.4 84.8–89.3 2.57 pts Yes No
80% 83.2–87.2 85.0–89.0 2.13 pts Yes No
75% 83.8–87.0 85.2–88.8 1.77 pts Yes No
Jordan — LAS at IND — Actual: LAS 87, IND 111
Level LAS range IND range Overlap Tol Warning Actual landed in range?
95% 82.4–88.9 84.2–89.3 4.69 pts — No
90% 82.9–88.4 84.6–88.9 3.75 pts — No
85% 83.2–88.0 84.9–88.7 3.14 pts — No
80% 83.5–87.8 85.1–88.5 2.67 pts — No
75% 83.7–87.5 85.3–88.3 2.28 pts — No
Darren "Dimes" Lin — LAS at IND — Actual: LAS 87, IND 111
Level LAS range IND range Overlap Tol Warning Actual landed in range?
95% 83.1–87.8 83.7–89.8 4.1 pts Yes No
90% 83.2–87.7 84.2–89.3 3.48 pts Yes No
85% 83.2–87.7 84.6–89.0 3.13 pts Yes No
80% 83.3–87.5 84.8–88.8 2.67 pts Yes No
75% 83.4–87.1 85.0–88.6 2.13 pts Yes No
Maya Jefferson — LAS at IND — Actual: LAS 87, IND 111
Level LAS range IND range Overlap Tol Warning Actual landed in range?
95% 82.3–87.5 84.4–89.3 3.15 pts Yes No
90% 83.2–87.4 84.8–88.9 2.62 pts Yes No
85% 83.6–87.3 85.0–88.7 2.25 pts Yes No
80% 83.8–87.2 85.2–88.5 1.94 pts Yes No
75% 84.0–87.1 85.4–88.3 1.65 pts Yes No
Lexi — LAS at IND — Actual: LAS 87, IND 111
Level LAS range IND range Overlap Tol Warning Actual landed in range?
95% 83.1–87.8 84.5–89.3 3.31 pts Yes No
90% 83.3–87.4 84.9–89.0 2.52 pts Yes No
85% 83.6–87.1 85.2–88.7 1.94 pts Yes No
80% 83.9–87.0 85.4–88.5 1.69 pts Yes No
75% 84.1–87.0 85.5–88.3 1.48 pts Yes No
Coach Sarah Watanabe — LAS at IND — Actual: LAS 87, IND 111
Level LAS range IND range Overlap Tol Warning Actual landed in range?
95% 83.0–88.5 84.3–89.1 4.22 pts — No
90% 83.5–88.1 84.7–88.7 3.4 pts — No
85% 83.8–87.8 84.9–88.4 2.86 pts — No
80% 84.0–87.6 85.1–88.2 2.45 pts — No
75% 84.2–87.4 85.3–88.1 2.1 pts — No