Edgehalla

Category Week Planner · 2026-27

Best faceoffs won schedules, fantasy week 20 (Feb 8-14)

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 4.01.

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 20
#TeamGPEffectivePer gameOpponents (factor)
1Los Angeles Kings44.011.00@ DAL (0.93)@ STL (1.02)vs DET (0.99)vs CHI (1.07)
2Columbus Blue Jackets43.820.95@ TOR (0.96)@ OTT (0.94)vs OTT (0.94)@ BOS (0.98)
3Carolina Hurricanes33.171.06vs COL (1.03)vs MIN (1.06)vs BUF (1.08)
4Colorado Avalanche33.101.03@ CAR (1.05)@ FLA (1.04)@ TBL (1.01)
5Detroit Red Wings33.101.03@ ANA (1.06)@ LAK (0.99)@ SJS (1.05)
6Chicago Blackhawks33.101.03@ SJS (1.05)@ ANA (1.06)@ LAK (0.99)
7Anaheim Ducks33.061.02vs DET (0.99)vs CHI (1.07)@ NSH (1.00)
8Dallas Stars33.051.02vs LAK (0.99)@ TBL (1.01)@ FLA (1.04)
9St. Louis Blues32.960.99vs LAK (0.99)@ EDM (0.94)@ SEA (1.03)
10Ottawa Senators32.950.98vs CBJ (1.00)@ CBJ (1.00)vs TOR (0.96)
11Toronto Maple Leafs32.910.97vs CBJ (1.00)vs BOS (0.98)@ OTT (0.94)
12Edmonton Oilers22.071.04vs STL (1.02)vs PIT (1.05)
13San Jose Sharks22.061.03vs CHI (1.07)vs DET (0.99)
14Utah Mammoth22.001.00vs CGY (1.02)@ WSH (0.99)
15New York Islanders21.990.99@ NYR (0.93)vs MIN (1.06)
16Minnesota Wild21.980.99@ CAR (1.05)@ NYI (0.94)
17Calgary Flames21.970.98@ UTA (1.00)@ VGK (0.97)
18Florida Panthers21.960.98vs COL (1.03)vs DAL (0.93)
19Tampa Bay Lightning21.960.98vs DAL (0.93)vs COL (1.03)
20Washington Capitals21.960.98@ MTL (0.96)vs UTA (1.00)
21Boston Bruins21.950.98@ TOR (0.96)vs CBJ (1.00)
22Montreal Canadiens21.920.96vs WSH (0.99)vs NYR (0.93)
23New York Rangers21.890.95vs NYI (0.94)@ MTL (0.96)
24Nashville Predators11.061.06vs ANA (1.06)
25Buffalo Sabres11.051.05@ CAR (1.05)
26Seattle Kraken11.021.02vs STL (1.02)
27Vegas Golden Knights11.021.02vs CGY (1.02)
28Winnipeg Jets11.001.00@ VAN (1.00)
29Philadelphia Flyers10.990.99vs NJD (0.99)
30New Jersey Devils10.980.98@ PHI (0.99)
31Vancouver Canucks10.960.96vs WPG (0.96)
32Pittsburgh Penguins10.940.94@ EDM (0.94)

Projected faceoffs won leaders, week 20

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

Players by projected faceoffs won, week 20
#PlayerGPFOW
1Jordan StaalCAR · C3234.2
2Sean MonahanCBJ · C4333.9
3Dylan LarkinDET · C3232.7
4John TavaresTOR · C3227.7
5Auston MatthewsTOR · C3227.1
6Nathan MacKinnonCOL · C3226.9
7Robert ThomasSTL · C3226.8
8Brock NelsonCOL · C3226.1
9Charlie CoyleCBJ · C4325.8
10Quinton ByfieldLAK · C4325.1
11Sebastian AhoCAR · C3225.1
12Adam FantilliCBJ · C4325.1
13Erik HaulaLAK · C4322.6
14Roope HintzDAL · C3221.5
15Nazem KadriCOL · C3220.0
16Andrew CoppDET · C3219.9
17Vincent TrocheckUTA · C2219.5
18J.T. CompherDET · C3219.5
19Joel Eriksson EkMIN · C2119.5
20Leon DraisaitlEDM · C2119.4
21Bo HorvatNYI · C2119.1
22Ryan PoehlingANA · C3218.7
23Claude GirouxOTT · RW3218.4
24Elias LindholmBOS · C2118.2
25Mikael GranlundANA · C3218.1
26Dylan StromeWSH · C2117.9
27Mikael BacklundCGY · C2117.8
28Frank NazarCHI · C3217.2
29Leo CarlssonANA · C3217.2
30Dylan CozensOTT · C3216.8
31Jean-Gabriel PageauNYI · C2116.7
32Nick SuzukiMTL · C2116.7
33Shane PintoOTT · C3216.6
34Aleksander BarkovFLA · C2116.4
35Nick PaulTOR · C3216.1
36Mason McTavishSTL · C3216.0
37Alexander WennbergSJS · C2115.8
38Wyatt JohnstonDAL · C3215.7
39Anton LundellFLA · C2115.5
40Nicolas RoyCOL · C3215.4

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 20?

LAK (4 games, 4.01 effective), CBJ (4 games, 3.82 effective), CAR (3 games, 3.17 effective), COL (3 games, 3.10 effective), DET (3 games, 3.10 effective).

Which teams have the worst faceoffs won schedule?

PIT (1 games), VAN (1 games), NJD (1 games), PHI (1 games), WPG (1 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.