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Ohio Premier Pre- Dublin

Pre-ECNL Girls · Pre- Ohio Valley GU11 (2015-2016) · 9 teams · Ohio Premier (all teams)

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6th
2-3-3 record · 8 played
1.13 points per game
-3 goal diff · 20–23
DDLWLlast 5
0% chance of top 4 · expected finish 6.2
+0.01 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 1.13 PPG if we win out).

#TeamPPGProj.To pass them
1 Pittsburgh Riverhounds Pre 2.33 (+1.20) 1st (2.32) —
2 GTFC Impact Pre 2.25 (+1.12) 2nd (2.25) —
3 Internationals SC Pre 1.88 (+0.75) 3rd (1.88) —
4 Cleveland Force Pre- Blue 1.75 (+0.62) 4th (1.75) —
5 Kings Hammer SC Barcelona 1.43 (+0.30) 5th (1.56) —

Position over the season

10 game days

1st 5th 9th Aug 22 Aug 30 Sep 19 Oct 4 Oct 17 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 Pittsburgh Riverhounds Pre 6420 205+15 142.33 DWWWD -0.17 -0.29 100% 1.4
2 GTFC Impact Pre 4301 186+12 92.25 WWLW +0.17 -0.60 99% 1.6
3 Internationals SC Pre 8503 2117+4 151.88 LWLWL -0.06 — 100% 3.0
4 Cleveland Force Pre- Blue 8422 2112+9 141.75 WWLDW -0.15 — 100% 4.0
5 Kings Hammer SC Barcelona 7313 1114-3 101.43 LDLWW +0.31 -2.25 1% 5.0
6 Ohio Premier Pre- Dublin 8233 2023-3 91.13 DDLWL +0.01 — 0% 6.2
7 Pittsburgh Riverhounds Pre 6123 1015-5 50.83 LDLWD +0.15 -0.29 0% 6.8
8 Cleveland Force Pre- White 7124 619-13 50.71 DLLWD -0.12 +1.66 0% 8.0
9 WNY Flash Pre 4004 218-16 00.00 LLLL -0.12 +0.67 0% 9.0

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 (2.22 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.