Tony DeAngelo
Points by season
Career NHL points, ending with the 84-game projection (violet).
Pool value
Projected full-season fantasy worth.
why 40?
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 goals6 × 3+18
- proj assists21 × 1+21
- PP points5 × 0.5+2.5
- game-winning goals0 × 0.5+0
- OT goals0 × 0.25+0
- shots94 × 0.1+9.4
- PIM20 × 0.05+1
- ice time (min)1472 × 0.01+14.7
- total67 pool points · an elite defenseman season scores 16667 = 40/100
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 67 points is 40 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 (17 games so far — small sample, secondary lines will move as roles settle). Hits/blocks are excluded: the free NHL feeds don't publish full-season totals, and we don't invent them.
The Situation
- Trust is growing: 19:33/game over the last 6, up 20% from 16:15 earlier in the season.
- Every night: in the lineup for all of the team's last 10 games.
- Availability: every game this season — 13 of 13 for NYI.
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 on pace O/U • −0.2
- TRADE VALUE: AT PACE — trade value is what the numbers say it is.
- 5.3% shooting on 19 shots against HIS OWN career baseline of 6.1% (866 shots before this season) — that's 0.2 goals below what his shot volume normally buys for him (1.2 expected goals). on pace. His shrunk talent rate is 5.9%, worth PD −0.2 goals per 84 over/under his own standard.
- His goals track his shot volume almost exactly — what you see is what you have.
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Coyotes | 39 | 5 | 9 | 14 | -13 | 37 | 2 | 8 | 0 | 17:06 | 1 | 0 | 60 | 8.3% | 0.0% |
| 2017-18 | Rangers | 32 | 0 | 8 | 8 | -18 | 11 | 0 | 6 | 0 | 16:34 | 0 | 0 | 68 | 0.0% | 100.0% |
| 2018-19 | Rangers | 61 | 4 | 26 | 30 | 6 | 77 | 0 | 10 | 0 | 19:20 | 0 | 0 | 111 | 3.6% | 0.0% |
| 2019-20 | Rangers | 68 | 15 | 38 | 53 | 12 | 47 | 3 | 19 | 0 | 19:17 | 3 | 2 | 149 | 10.1% | 0.0% |
| 2020-21 | Rangers | 6 | 0 | 1 | 1 | -6 | 4 | 0 | 1 | 0 | 18:29 | 0 | 0 | 13 | 0.0% | 0.0% |
| 2021-22 | Hurricanes | 64 | 10 | 41 | 51 | 30 | 56 | 2 | 20 | 0 | 19:49 | 2 | 0 | 151 | 6.6% | 0.0% |
| 2022-23 | Flyers | 70 | 11 | 31 | 42 | -27 | 73 | 4 | 19 | 0 | 22:04 | 1 | 1 | 174 | 6.3% | 0.0% |
| 2023-24 | Hurricanes | 31 | 3 | 8 | 11 | -7 | 24 | 2 | 6 | 0 | 14:20 | 0 | 0 | 44 | 6.8% | 0.0% |
| 2024-25 | Islanders | 35 | 4 | 15 | 19 | -11 | 10 | 0 | 4 | 0 | 23:21 | 1 | 1 | 76 | 5.3% | 0.0% |
| 2025-26 | Islanders | 76 | 5 | 30 | 35 | -5 | 43 | 1 | 7 | 0 | 19:08 | 1 | 0 | 148 | 3.4% | 0.0% |
| 2026-27 | Islanders | 18 | 1 | 4 | 5 | -9 | 9 | 0 | 1 | 0 | 17:20 | 0 | 0 | 19 | 5.3% | 0.0% |
| 84-G proj | Islanders | 84 | 6 | 21 | 27 | — | 31 | — | 6 | — | 18:10 | — | — | 98 | — | — |
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 31 that is -3%. Dashes mark stats the model doesn't project.
Comparable player-seasons: Sean Durzi (2025-25) · Hampus Lindholm (2025-25) · Ryan McDonagh (2025-25) · Aaron Ekblad (2025-25) · Olli Maatta (2025-25).
Goals — with the line
| Time | ST | Type | Goal | His line | Opp ice |
|---|---|---|---|---|---|
| Nov 7 · vs NJD | |||||
| P2 11:54 | EV | Assist | #? (DeAngelo, Schenn) → 4-2 | Schenn · Heineman Pelech · DeAngelo | Meier · Hischier · Evangelista Pesce · Hughes Allen (G) |
| Oct 27 · @ NSH | |||||
| P1 03:07 | EV | Assist | Duclair (Pageau, #?) → 1-0 | Duclair · Pageau Pulock · Stanley | Edstrom · O'Reilly Struble · Hague Saros (G) |
| Oct 22 · vs LAK | |||||
| P2 14:06 | PP | Assist | Eklund (DeAngelo, Heineman) → 1-2 | Duclair · Eklund · Pageau · Heineman DeAngelo | Laughton · Lee Edmundson · Anderson Kuemper (G) |
Line mates
Teammates sharing the most ice time with Tony over the last 10 games — reconstructed shift-by-shift from the NHL's official timing feed (goalies excluded).
| Player | Shared min | GP | |
|---|---|---|---|
| Anthony Duclair NYI | 56 | 10 | |
| Victor Eklund NYI | 56 | 10 | |
| Brayden Schenn NYI | 52 | 10 | |
| Matthew Kessel NYI | 47 | 9 | |
| Ondrej Palat NYI | 46 | 10 |
Data via the public NHL API · 2026 Pro Hockey Stats