Edgehalla

Category Week Planner · 2026-27

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

Hits. The opponent factor is hits its opponents record per game (the home scorer’s counting bias is now negligible). Teams are ranked by effective games: games this week, each weighted by how many hits the opponent allows. LAK leads with 4.13.

Data updated:

Teams ranked for hits

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 hits games, week 20
#TeamGPEffectivePer gameOpponents (factor)
1Los Angeles Kings44.131.03@ DAL (1.07)@ STL (0.90)vs DET (1.03)vs CHI (1.13)
2Columbus Blue Jackets44.111.03@ TOR (0.97)@ OTT (1.06)vs OTT (1.06)@ BOS (1.02)
3Colorado Avalanche33.231.07@ CAR (1.14)@ FLA (1.05)@ TBL (1.04)
4Anaheim Ducks33.161.05vs DET (1.03)vs CHI (1.13)@ NSH (1.00)
5Dallas Stars33.051.02vs LAK (0.96)@ TBL (1.04)@ FLA (1.05)
6Toronto Maple Leafs33.021.01vs CBJ (0.94)vs BOS (1.02)@ OTT (1.06)
7Carolina Hurricanes32.960.99vs COL (1.00)vs MIN (0.92)vs BUF (1.04)
8St. Louis Blues32.880.96vs LAK (0.96)@ EDM (0.91)@ SEA (1.01)
9Detroit Red Wings32.860.95@ ANA (0.92)@ LAK (0.96)@ SJS (0.97)
10Chicago Blackhawks32.860.95@ SJS (0.97)@ ANA (0.92)@ LAK (0.96)
11Ottawa Senators32.850.95vs CBJ (0.94)@ CBJ (0.94)vs TOR (0.97)
12San Jose Sharks22.161.08vs CHI (1.13)vs DET (1.03)
13Minnesota Wild22.081.04@ CAR (1.14)@ NYI (0.95)
14Florida Panthers22.061.03vs COL (1.00)vs DAL (1.07)
15Tampa Bay Lightning22.061.03vs DAL (1.07)vs COL (1.00)
16Montreal Canadiens22.061.03vs WSH (1.00)vs NYR (1.06)
17Utah Mammoth21.991.00vs CGY (0.99)@ WSH (1.00)
18New York Islanders21.980.99@ NYR (1.06)vs MIN (0.92)
19Washington Capitals21.960.98@ MTL (0.99)vs UTA (0.97)
20Calgary Flames21.960.98@ UTA (0.97)@ VGK (0.99)
21Edmonton Oilers21.950.97vs STL (0.90)vs PIT (1.05)
22New York Rangers21.940.97vs NYI (0.95)@ MTL (0.99)
23Boston Bruins21.910.96@ TOR (0.97)vs CBJ (0.94)
24Buffalo Sabres11.141.14@ CAR (1.14)
25Winnipeg Jets11.011.01@ VAN (1.01)
26Vegas Golden Knights10.990.99vs CGY (0.99)
27Philadelphia Flyers10.980.98vs NJD (0.98)
28Vancouver Canucks10.960.96vs WPG (0.97)
29New Jersey Devils10.950.95@ PHI (0.95)
30Nashville Predators10.920.92vs ANA (0.92)
31Pittsburgh Penguins10.910.91@ EDM (0.91)
32Seattle Kraken10.900.90vs STL (0.90)

Projected hits leaders, week 20

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

Players by projected hits, week 20
#PlayerGPHIT
1Mathieu OlivierCBJ · RW4313.8
2Alex LaferriereLAK · RW4311.6
3Samuel HeleniusLAK · C4311.4
4Dakota JoshuaTOR · LW3210.1
5Kiefer SherwoodSJS · RW2110.1
6Nicolas DeslauriersCAR · LW329.9
7Keegan KolesarDET · RW329.1
8Lian BichselDAL · D328.9
9Ross JohnstonSTL · LW328.5
10Zachary L'HeureuxCOL · LW328.5
11Yakov TreninMIN · LW218.5
12Jeff MalottANA · LW328.2
13Matthew KniesCBJ · LW438.1
14A.J. GreerANA · LW328.1
15Benoit-Olivier GroulxTOR · C327.5
16Cole SmithCHI · LW327.4
17Adam KlapkaCGY · RW217.4
18Jack McBainUTA · C227.3
19Dylan CozensOTT · C327.3
20Michael Brandsegg-NygardDET · RW327.2
21Adam FantilliCBJ · C437.2
22Will CuylleNYR · LW227.2
23Martin PospisilCGY · LW217.1
24Garnet HathawayFLA · RW217.1
25Andreas EnglundDET · D327.1
26Josh MansonCOL · D327.0
27Parker KellyCOL · LW326.9
28Marco KasperDET · C326.6
29Colton DachEDM · LW216.5
30Dylan HollowaySTL · LW326.4
31Sam ColangeloANA · RW326.3
32Andrei SvechnikovCAR · LW326.1
33Jake NeighboursSTL · LW326.1
34Mikey AndersonLAK · D436.1
35Marcus FolignoMIN · LW216.1
36Jordan StaalCAR · C326.1
37Dmitri VoronkovCBJ · LW436.1
38Radko GudasFLA · D216.0
39Matthew RempeNYR · RW226.0
40Liam O'BrienUTA · LW225.9

Matchup models plugged in

  • Banger Environment Index: hits and blocksHIT, BLKComing 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 hits, last season's split-half r was 0.81 and the year-over-year r 0.66; factors are shrunk accordingly.

Frequently asked questions

Which teams have the best hits schedule in week 20?

LAK (4 games, 4.13 effective), CBJ (4 games, 4.11 effective), COL (3 games, 3.23 effective), ANA (3 games, 3.16 effective), DAL (3 games, 3.05 effective).

Which teams have the worst hits schedule?

SEA (1 games), PIT (1 games), NSH (1 games), NJD (1 games), VAN (1 games).

How reliable is the opponent effect for hits?

Last season the opponent measure (how many hits the opponent allows) had a split-half correlation of 0.81 across the 32 teams and a year-over-year correlation of 0.66. 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.