Edgehalla

Category Week Planner · 2026-27

Best faceoffs won schedules, fantasy week 12 (Dec 14-20)

Faceoffs won. The opponent factor is faceoffs its opponents win per game. Teams are ranked by effective games: games this week, each weighted by how many faceoffs won the opponent allows. LAK leads with 4.12.

Data updated:

Teams ranked for faceoffs won

Early season: teams have played about 2 games, so the opponent factors are mostly 2025-26 numbers. This season's games count for about 20% and the share grows every week.

Teams by effective faceoffs won games, week 12
#TeamGPEffectivePer gameOpponents (factor)
1Los Angeles Kings44.121.03@ DET (0.99)@ PIT (1.05)@ CBJ (1.00)@ BUF (1.08)
2Seattle Kraken44.081.02@ NSH (1.00)@ CBJ (1.00)@ PIT (1.05)@ COL (1.03)
3Boston Bruins44.041.01vs FLA (1.04)vs STL (1.02)@ NJD (0.99)vs PHI (0.99)
4Tampa Bay Lightning44.021.00@ PIT (1.05)vs CGY (1.02)@ TOR (0.96)@ DET (0.99)
5Colorado Avalanche44.021.00vs UTA (1.00)vs NYI (0.94)vs CAR (1.05)vs SEA (1.03)
6Detroit Red Wings43.980.99vs LAK (0.99)@ WSH (0.99)@ PHI (0.99)vs TBL (1.01)
7Utah Mammoth43.950.99@ COL (1.03)vs NYI (0.94)vs CAR (1.05)@ EDM (0.94)
8Edmonton Oilers43.950.99@ MTL (0.96)vs DAL (0.93)vs UTA (1.00)vs ANA (1.06)
9Philadelphia Flyers43.950.99vs FLA (1.04)vs NYR (0.93)vs DET (0.99)@ BOS (0.98)
10New York Islanders43.930.98@ UTA (1.00)@ COL (1.03)@ VGK (0.97)vs NYR (0.93)
11New York Rangers43.910.98@ NJD (0.99)@ PHI (0.99)vs NSH (1.00)@ NYI (0.94)
12Buffalo Sabres43.910.98@ OTT (0.94)vs CGY (1.02)vs MTL (0.96)vs LAK (0.99)
13New Jersey Devils43.870.97vs NYR (0.93)vs TOR (0.96)vs BOS (0.98)vs NSH (1.00)
14Dallas Stars43.840.96vs WSH (0.99)@ EDM (0.94)@ WPG (0.96)@ WPG (0.96)
15Ottawa Senators33.211.07vs BUF (1.08)vs CHI (1.07)@ CHI (1.07)
16Vancouver Canucks33.151.05@ SJS (1.05)@ ANA (1.06)vs SJS (1.05)
17Calgary Flames33.131.04@ BUF (1.08)@ TBL (1.01)@ FLA (1.04)
18Montreal Canadiens33.081.03vs EDM (0.94)@ BUF (1.08)@ MIN (1.06)
19Columbus Blue Jackets33.071.02vs CAR (1.05)vs SEA (1.03)vs LAK (0.99)
20Toronto Maple Leafs33.061.02@ MIN (1.06)@ NJD (0.99)vs TBL (1.01)
21Pittsburgh Penguins33.031.01vs TBL (1.01)vs LAK (0.99)vs SEA (1.03)
22Carolina Hurricanes33.031.01@ CBJ (1.00)@ UTA (1.00)@ COL (1.03)
23Anaheim Ducks33.001.00vs VAN (1.00)@ MIN (1.06)@ EDM (0.94)
24Florida Panthers32.980.99@ PHI (0.99)@ BOS (0.98)vs CGY (1.02)
25Minnesota Wild32.970.99vs TOR (0.96)vs ANA (1.06)vs MTL (0.96)
26San Jose Sharks32.960.99vs VAN (1.00)@ VGK (0.97)@ VAN (1.00)
27Nashville Predators32.950.98vs SEA (1.03)@ NYR (0.93)@ NJD (0.99)
28Washington Capitals32.950.98@ DAL (0.93)vs DET (0.99)vs STL (1.02)
29St. Louis Blues32.920.97vs WPG (0.96)@ BOS (0.98)@ WSH (0.99)
30Winnipeg Jets32.880.96@ STL (1.02)vs DAL (0.93)vs DAL (0.93)
31Vegas Golden Knights21.980.99vs SJS (1.05)vs NYI (0.94)
32Chicago Blackhawks21.880.94@ OTT (0.94)vs OTT (0.94)

Projected faceoffs won leaders, week 12

Projected totals for the week. Off-night games in green.

Players by projected faceoffs won, week 12
#PlayerGPFOW
1Nico HischierNJD · C4347.4
2Dylan LarkinDET · C4341.9
3Chandler StephensonSEA · C4338.6
4Vincent TrocheckUTA · C4338.6
5Bo HorvatNYI · C4337.7
6Elias LindholmBOS · C4337.6
7Leon DraisaitlEDM · C4437.0
8Sidney CrosbyPIT · C3235.5
9Nathan MacKinnonCOL · C4434.9
10Brock NelsonCOL · C4433.9
11Jean-Gabriel PageauNYI · C4333.0
12Jordan StaalCAR · C3232.7
13Sean CouturierPHI · C4431.4
14Anthony CirelliTBL · C4331.1
15J.T. MillerNYR · C4331.0
16Joel Eriksson EkMIN · C3229.2
17John TavaresTOR · C3229.0
18Christian DvorakPHI · C4428.9
19Kevin StenlundUTA · C4328.9
20Ryan McLeodBUF · C4328.5
21Auston MatthewsTOR · C3228.4
22Mikael BacklundCGY · C3228.4
23Jason DickinsonEDM · C4427.7
24Elias PetterssonVAN · C3327.5
25Joshua NorrisBUF · C4327.4
26Sean MonahanCBJ · C3227.3
27Mika ZibanejadNYR · C4327.3
28Roope HintzDAL · C4327.1
29Dylan StromeWSH · C3226.9
30Nick SuzukiMTL · C3326.8
31Ryan O'ReillyNSH · C3226.7
32Pavel ZachaBOS · C4326.5
33Robert ThomasSTL · C3226.5
34Matthew BeniersSEA · C4326.3
35Nazem KadriCOL · C4426.0
36Quinton ByfieldLAK · C4325.8
37Andrew CoppDET · C4325.5
38J.T. CompherDET · C4325.0
39Aleksander BarkovFLA · C3225.0
40Barrett HaytonUTA · C4324.7

Matchup models plugged in

  • Draw Duel: projected faceoff winsFOWComing soon

Until a model is live, its categories use the team opponent factors above (or volume only where those did not validate).

How it works

  1. Volume first. We count each team's games in the Monday-to-Sunday fantasy week and flag off-nights (fewer than 10 games) and back-to-backs. See games per week for the whole season.
  2. Opponents second, only where it helps. For each category we measure what every team allows per game (shots on goal against, hits and blocks its opponents record, faceoffs its opponents win, goals against). A factor of 1.10 means 10% more than the league average. We then tested out of sample whether these factors improve weekly forecasts over games times each team's own rate. They did, by a small margin, for shots on goal, hits, blocks, faceoffs won and goalie saves (where the factor is the opponent's own shots), so only those use them. Goals, assists, points, penalty minutes and goals against are volume only. The table below has the numbers.
  3. Each factor is shrunk toward average by how reliable that category is at the team level. We split last season's games into odd and even halves: when the halves agree (high split-half r), team differences are real and the factor is kept; when they do not, it is pulled toward 1. Early in the season this year's small sample is blended with last season, regressed by how well team factors carried over from one season to the next.
  4. Player rates come from rest-of-season projections: LineupExperts for goals, assists, points, PIM, shots, hits, blocks and goalie wins, saves and goals against, with our derived projection model filling power-play points, shorthanded points, plus/minus and faceoffs. Anything still missing (and shutouts) comes from our box scores, this season plus last season at half weight.
  5. Goalies: expected starts come from our goalie start model where it covers the week, otherwise from each goalie's share of projected starts, normalised so a team's goalies add up to one start per game. Wins get the Schedule Edge win-probability change for each game.
  6. The rater turns weekly totals into z-scores within the top 300 skaters and 64 goalies, then sums them with your weights. Punted categories count for nothing. SV% and GAA are scored by impact, so one start cannot top them.
For faceoffs won, last season's split-half r was 0.79 and the year-over-year r 0.71; factors are shrunk accordingly.

Frequently asked questions

Which teams have the best faceoffs won schedule in week 12?

LAK (4 games, 4.12 effective), SEA (4 games, 4.08 effective), BOS (4 games, 4.04 effective), TBL (4 games, 4.02 effective), COL (4 games, 4.02 effective).

Which teams have the worst faceoffs won schedule?

CHI (2 games), VGK (2 games), WPG (3 games), STL (3 games), WSH (3 games).

How reliable is the opponent effect for faceoffs won?

Last season the opponent measure (how many faceoffs won the opponent allows) had a split-half correlation of 0.79 across the 32 teams and a year-over-year correlation of 0.71. We shrink each team's factor by that reliability. Out of sample it trims weekly forecast error by only a couple of percent, so games played matter far more.

Should I stream for one category?

In head-to-head category leagues, streaming for a close category late in the week often wins it. Volume matters most: an extra game usually beats a better opponent. Use the full week planner to see every category at once and punt the ones you cannot win.