TableChase Clubs

Ohio Premier Academy UA GU2016/17 Black

Pre-ECNL Girls · Pre- Ohio Valley GU10 (2016-2017) · 7 teams · Ohio Premier (all teams)

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7th
0-1-7 record · 8 played
0.13 points per game
-30 goal diff · 9–39
DLLLLlast 5
0% chance of top 4 · expected finish 7.0
+0.61 schedule faced · avg opponent rating

Next game

No remaining games on the published schedule.

Climbing the table

What it takes to pass each team above us, from our 0 remaining known games (max 0.13 PPG if we win out).

#TeamPPGProj.To pass them
1 GTFC Impact Pre 2.25 (+2.12) 3rd (2.04) —
2 Cleveland Force Pre- Blue 2.17 (+2.04) 1st (2.15) —
3 Internationals SC Pre 2.14 (+2.01) 2nd (2.15) —
4 Pittsburgh Riverhounds Pre 1.75 (+1.62) 4th (1.67) —
5 WNY Flash Pre 1.40 (+1.27) 5th (1.22) —
6 Northern Steel Select Soccer Revolution 0.75 (+0.62) 6th (0.69) —

Position over the season

9 game days

1st 4th 7th Aug 22 Aug 30 Sep 19 Oct 4 Oct 18

The table re-sorted after each date on which a game was played. Shaded band is the top 4.

The path

No remaining games published.

Standings

#TeamGPWDLGFGAGDPtsPPGFormSoSRun-inTop 4Exp. finish
1 GTFC Impact Pre 4301 156+9 92.25 WLWW -0.46 +0.15 98% 2.5
2 Cleveland Force Pre- Blue 6411 268+18 132.17 WLWWW -0.03 +0.14 100% 1.8
3 Internationals SC Pre 7502 2615+11 152.14 WWWLW -0.17 -0.83 100% 2.1
4 Pittsburgh Riverhounds Pre 4211 1010+0 71.75 DLWW -0.25 -0.15 80% 3.9
5 WNY Flash Pre 5212 811-3 71.40 LDLWW -0.26 +0.38 22% 4.8
6 Northern Steel Select Soccer Revolution 4103 38-5 30.75 LWLL -0.84 +1.01 1% 5.9
7 Ohio Premier Academy UA GU2016/17 Black 8017 939-30 10.13 DLLLL +0.61 — 0% 7.0

Tap a team to see every game it has played (opponent's current position in brackets) and what's next. Ordered the way the league publishes it: points per game, then goal difference. The green edge marks the top 4. SoS is strength of schedule, the average model rating of opponents faced — positive means a harder road than average. "Top 4" and "Exp. finish" come from playing the rest of the season 2,000 times with the forecast model.

How the forecast works: every played game feeds each team's attack and defence rating, adjusted for who it was against — a goal past a strong defence counts for more than one past a weak one. Ratings are shrunk toward the league average (2.33 goals per team per game) by 3 "prior" games so early blowouts don't dominate, and results older than about 120 days count half. Expected goals for a matchup multiply those, with a 8% home bump, and a Poisson score grid gives win/draw/loss odds.