Points by season
Career NHL points, ending with the 84-game projection (violet).
Pool value
Projected full-season fantasy worth.
why 31?
Each row is one fantasy category turned into points over a full 84-game season. Add the rows up and that is his total fantasy worth.
- proj goals2 × 3+6
- proj assists18 × 1+18
- PP points0 × 0.5+0
- game-winning goals0 × 0.5+0
- OT goals0 × 0.25+0
- shots76 × 0.1+7.6
- PIM25 × 0.05+1.3
- ice time (min)1795 × 0.01+18
- total51 pool points · an elite defenseman season scores 16651 = 31/100
Weights follow what the average fantasy league actually counts: goals at 3× assists (the universal core), power-play points and game-winners at half weight (common extra categories), OT goals, shots and PIM small (many leagues skip them), and ice time as a quiet availability bonus. The scale: add up a whole season of those categories and compare against the best defensemen in the NHL — an elite season scores about 166 points, and that is what 100 means. So 51 points is 31 out of a perfect fantasy season at his position. Defensemen and forwards are graded on separate scales because the D slot can only be filled by a defenseman. Goals and assists come from the backtested season model; the rest ride your own season-to-date pace over 84 games (20 games so far). Hits/blocks are excluded: the free NHL feeds don't publish full-season totals, and we don't invent them.
The Situation
- Cold window: 0.0 pts/10 over the last 6 vs 3.3/10 baseline — pace has fallen off.
- Every night: in the lineup for all of the team's last 10 games.
- Availability: every game this season — 15 of 15 for VAN.
Every line is measured from our own boxscore ledger; absence reasons from the NHL Status Report and our transaction wire only — no insider guessing.
Finishing check underperforming O/U ▼ −1.2
- TRADE VALUE: BELOW PACE — mildly. Cheap production relative to the underlying play.
- 0.0% shooting on 18 shots against HIS OWN career baseline of 7.1% (73 shots before this season) — that's 1.3 goals below what his shot volume normally buys for him (1.3 expected goals). under pace. His shrunk talent rate is 5.4%, worth PD −1.2 goals per 84 over/under his own standard.
Model: goals vs shot volume vs live league position baselines; talent SH% is an empirical-Bayes shrinkage of the season…
His shooting talent is estimated by shrinking his season shooting percentage toward his league position mean in proportion to sample size (kappa pseudo-shots prior), then projecting the gap over 84 games at his current shot volume. Small samples stay near zero — the number only moves when the evidence does.
The method follows published hockey-analytics research: a shooter is judged against his own career shooting percentage, because a player's own career rate predicts his next goals better than any league average (“Expected by Whom? A Skill-Adjusted Expected Goals Model for NHL Shooters and Goaltenders,” arXiv:2511.07703). Thin careers (rookies) shrink toward the league mean for the position, and the season number is shrunk toward the player's own anchor with empirical-Bayes weights — Nandakumar & Jensen (2019), Annual Review of Statistics and Its Application, doi:10.1146/annurev-statistics-030718-105202. This section is about the gap between luck and his pace, not talent.
Season stats
NHL regular-season totals, season by season. The 84-G proj line extends the current season with our public model — methodology in the caption below the table.
| Season | Team | GP | G | A | P | +/- | PIM | PPG | PPP | SHG | TOI/GP | GWG | OTG | S | S% | FOW% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wild | 31 | 3 | 11 | 14 | -9 | 8 | 2 | 8 | 0 | 18:28 | 0 | 0 | 31 | 9.7% | 0.0% |
| 2025-26 | Canucks | 45 | 3 | 9 | 12 | -24 | 33 | 1 | 5 | 0 | 20:21 | 1 | 0 | 42 | 7.1% | 0.0% |
| 2026-27 | Canucks | 20 | 0 | 4 | 4 | -9 | 6 | 0 | 0 | 0 | 21:22 | 0 | 0 | 18 | 0.0% | 0.0% |
| 84-G proj | Canucks | 84 | 2 | 18 | 20 | — | 33 | — | 8 | — | 20:30 | — | — | 88 | — | — |
84-G proj — current pace blended with the player's own history (recent seasons weighted heaviest), mixed with a similarity projection from historical players with comparable profiles, then adjusted for the aging curve (league-average peak at 27; decline after) — at age 20 that is 4%. Dashes mark stats the model doesn't project.
Goals — with the line
| Time | ST | Type | Goal | His line | Opp ice |
|---|---|---|---|---|---|
| Oct 27 · @ ANA | |||||
| P2 06:36 | EV | Assist | Ohgren (Karlsson, Buium) → 1-1 | Rossi · Ohgren · Karlsson Buium · Hronek | Nesterenko · Killorn · McQueen Hinds · Luneau Dostal (G) |
| Oct 22 · vs DET | |||||
| P3 10:37 | EV | Assist | Lekkerimäki (Rossi, Buium) → 2-5 | Rossi · Cotter · Lekkerimäki Willander · Buium | Arvidsson · Finnie · DeBrincat Chiarot · Seider Postava (G) |
| Oct 20 · vs CAR | |||||
| P2 13:07 | EV | Assist | Bains (Sasson, Buium) → 3-3 | Gallagher · Bains · Sasson Willander · Buium | Stankoven · Nadeau · Sörum Walker · Miller Kochetkov (G) |
Line mates
Teammates sharing the most ice time with Zeev over the last 10 games — reconstructed shift-by-shift from the NHL's official timing feed (goalies excluded).
| Player | Shared min | GP | |
|---|---|---|---|
| Brock Boeser VAN | 64 | 10 | |
| Paul Cotter VAN | 59 | 10 | |
| Elias Pettersson VAN | 57 | 10 | |
| Filip Hronek VAN | 56 | 10 | |
| Drew O'Connor VAN | 52 | 10 |
Data via the public NHL API · 2026 Pro Hockey Stats