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Pittsburgh Riverhounds Pre

Pre-ECNL Boys · Pre- Ohio Valley BU10 (2016-2017) 7v7 · 11 teams · Pittsburgh Riverhounds (all teams)

Scores refresh automatically every 2 hours · last pulled 5 hours ago.
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1st
9-0-1 record · 10 played
2.70 points per game
+56 goal diff · 67–11
WWWLWlast 5
100% chance of top 4 · expected finish 1.8
-0.38 schedule faced · avg opponent rating

Next game

No remaining games on the published schedule.

Climbing the table

Top of the table. The job is to stay there: see the path below for where points are most at risk.

Position over the season

16 game days

1st 6th 11th Aug 22 Sep 5 Sep 20 Oct 3 Oct 10 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 10901 6711+56 272.70 WWWLW -0.38 — 100% 1.8
2 Manta Pre 8701 5219+33 212.63 WWLWW -0.18 -1.59 100% 2.9
3 Cleveland Force Pre- White 7601 549+45 182.57 LWWWW -0.22 -0.85 100% 1.4
4 Ohio Premier Academy Pre- Black 6402 3921+18 122.00 LLWWW +0.11 -1.03 71% 4.3
5 Cleveland Force Pre- Blue 7403 2719+8 121.71 WWWLW +0.07 -0.85 30% 4.7
6 WNY Flash Rochester Pre 9405 3539-4 121.33 LWLWL -0.31 +3.00 0% 6.0
7 Pacesetter SC Pre- Black 10406 2844-16 121.20 LLLWL +0.25 — 0% 7.0
8 Pittsburgh Riverhounds Pre 10307 3248-16 90.90 WLLLL +0.12 — 0% 8.0
9 Ohio Premier Academy Pre- Grey 6105 1735-18 30.50 LLLLW +0.11 -0.06 0% 9.2
10 WNY Flash Pre 6105 1440-26 30.50 LWLLL +0.30 +0.18 0% 9.8
11 Team Challenger FC South 2016/17B Gold 7007 282-80 00.00 LLLLL +1.29 -0.85 0% 11.0

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 (4.22 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.