Mika Zibanejad
New York Rangers · C · R shot · age 33 at the dated snapshot.
- Team
- NYR
- Lane
- C
- Age
- 33
How the points were built
Official NHL 2025–26 regular-season reports. A missing split stays “—”; it is never converted to zero.
5 C regulars in NYR
The all-team median is 7. NYR’s farm system ranks #15 in the maintained two-board consensus.
Questions a GM still has to answer
- How much of the scoring comes at five-on-five, on special teams, or into an empty net?
- Is the player creating the play, finishing it, or receiving a secondary point?
- Does deployment reveal trust, scarcity, underuse, or a role the roster cannot offer?
- What contract, acquisition cost, development alternative and Cup-window effect complete the argument?
NYR at BOS
Projected slot from the licensed depth chart; props from the model's learned layer on shots, finishing and the opposing starter; ratings are last season's until this one has enough games. Information, not a recommendation.
Nothing listed against Mika Zibanejad.
Mika Zibanejad is talked about more than most (72th percentile); attention is up on the usual
How much he is being talked about: the league's own stories tagged to him, daily pageviews of his Wikipedia article against his own 90-day baseline, posts naming him on the connected networks (Bluesky), and the roster moves and listings that make noise. A measure of attention. Whether it affects a player is his business, and a question the history will let us test later.
Social: 7 posts named him this week on Bluesky · 6 likes, reposts and replies · no baseline yet, it needs a week of readings.
$8.50M cap hit
2022–23 through 2029–30 · UFA at expiry. Certified
Both signals › Cheaper than his position's median cost per point AND drives five-on-five scoring or kills penalties.
- 45% of his points came on the power play (35 of 78). At five-on-five he produced like a cheaper player.
- He kills penalties (1:57 a night), which points do not capture.
- Falling below 68 points at this cap hit would drop the cost test.
Expected goals
CapOrCup's shot model (distance, angle, shot type, strength, rebounds, rushes), trained on 2023-24 and 2024-25 and tested on unseen games (AUC 0.756). Finishing is goals minus expected goals; it is noisy in one season.
What happens while he plays
Measured from the league's play-by-play and shift charts, not from the scoresheet. Expected goals are counted for every player on the ice, and a goal is credited to whoever was on the ice when the sequence began, including players who had changed off before it was scored.
Goals, assists and plus/minus, weighted by what they changed
Every goal counts the win probability it added, scaled so the average goal is 1.0: a late tying goal counts several, a goal at 6-1 or into an empty net late counts little. Plus/minus also credits the players on the ice when the goal's sequence began.
Where he shoots from, and how it goes
Every unblocked shot placed by distance, angle and shot type. His rate from each spot is set against the league's rate for the same shot from the same spot, so the edge is against everyone else taking that shot, not against an average.
What the condensed games showed
Read from the league's free condensed games (1 game so far): entries, exits, battles and turnovers the model could see and attribute to his jersey number. A condensed game is a sample of the game, so these are observations, not season counts.
Mika Zibanejad, season by season
Each dot is one season. The amber bar is what his earlier seasons and his age predicted for that season (80% band), so a dot far above its bar is a season the numbers did not see coming. The shaded band is where most players at his position sit at each age.
Position band: quantile regression (10th/50th/90th) of qualifying seasons on an age spline, weighted for players who drop out.
What the numbers found
- Flash in the pan holds in 55% of re-measurements
2019-20 (age 26): 104 points per 82 games against 65.6 expected from his earlier seasons (z 3.1); the next seasons averaged 73.4 (z 0.7 against the old expectation). Flash in the pan; the call survives 55% of re-measurements.
Projection at the draft
At the draft the model expected 121 NHL hours through his age-25 season (80% band 53 to 167). He logged 139 hours, between the median and the 90th percentile.
Every season
| Season | Age | GP | Level | Expected (80%) |
|---|---|---|---|---|
| 2011-12 | 18 | 9 | 9.7 | 5.8 to 80.6 |
| 2012-13 | 19 | 42 | 41.4 | 8.0 to 56.4 |
| 2013-14 | 20 | 69 | 41.4 | 29.7 to 63.7 |
| 2014-15 | 21 | 80 | 49.8 | 31.8 to 62.1 |
| 2015-16 | 22 | 81 | 55.3 | 38.1 to 67.5 |
| 2016-17 | 23 | 56 | 56.8 | 42.0 to 73.1 |
| 2017-18 | 24 | 72 | 52.0 | 43.5 to 74.0 |
| 2018-19 | 25 | 82 | 70.8 | 39.3 to 68.6 |
| 2019-20 | 26 | 57 | 103.6 | 50.1 to 81.1 |
| 2020-21 | 27 | 56 | 71.9 | 71.2 to 103.2 |
| 2021-22 | 28 | 81 | 75.0 | 60.9 to 91.2 |
| 2022-23 | 29 | 82 | 82.4 | 58.5 to 88.0 |
| 2023-24 | 30 | 81 | 67.4 | 61.7 to 91.0 |
| 2024-25 | 31 | 82 | 58.7 | 52.2 to 81.4 |
| 2025-26 | 32 | 81 | 72.9 | 43.3 to 72.5 |
Source: CapOrCup careers desk (method and league curves) · as of 2026-09-29
Who looked like this at 29 to 32
Careers are compared as league-adjusted points per game by age, over the same ages. The comparables below are the closest lines, and what matters is the spread of what they did next, not any single name.
This player so far: age 15 Swe-U18 0.36 → age 16 J20 Nationell 0.29 → age 17 SHL 0.35 → age 18 SHL 0.50 → age 19 NHL 0.48 → age 20 NHL 0.48 → age 21 NHL 0.57 → age 22 NHL 0.63 → age 23 NHL 0.66 → age 24 NHL 0.65 → age 25 NHL 0.90 → age 26 NHL 1.32 → age 27 NHL 0.89 → age 28 NHL 1.00 → age 29 NHL 1.11 → age 30 NHL 0.89 → age 31 NHL 0.76 → age 32 NHL 0.96
| Player | Distance (lower is closer) | What he did afterwards |
|---|---|---|
| Alex OvechkinL · matched at ages 29, 30, 31, 32 | 0.09 | age 33 NHL 1.10 → age 34 NHL 0.98 → age 35 NHL 0.93 → age 36 NHL 1.17 → age 37 NHL 1.03 |
| John TavaresC · matched at ages 29, 30, 31, 32 | 0.13 | age 33 NHL 0.81 → age 34 NHL 0.99 → age 35 NHL 0.87 |
| Tyler SeguinC · matched at ages 30, 31, 32 | 0.21 | age 33 NHL 1.05 → age 34 NHL 0.63 |
| Corey PerryR · matched at ages 29, 30, 31, 32 | 0.22 | age 33 NHL 0.32 → age 34 NHL 0.37 → age 35 NHL 0.43 → age 36 NHL 0.49 → age 37 NHL 0.31 |
| Steven StamkosC · matched at ages 29, 30, 31, 32 | 0.23 | age 33 NHL 1.04 → age 34 NHL 1.02 → age 35 NHL 0.65 → age 36 NHL 0.81 |
| Jonathan MarchessaultC · matched at ages 29, 30, 31, 32 | 0.24 | age 33 NHL 0.84 → age 34 NHL 0.72 → age 35 NHL 0.50 |
| Chris KreiderL · matched at ages 29, 30, 31, 32 | 0.26 | age 33 NHL 0.44 → age 34 NHL 0.67 |
| Ryan O'ReillyC · matched at ages 29, 30, 31, 32 | 0.28 | age 33 NHL 0.84 → age 34 NHL 0.67 → age 35 NHL 0.91 |
Reading it
If most comparables became NHL regulars and their later peak sits well above this player's current line, the numbers say there is room to grow. If most did not, the numbers say the odds are against it. Either way it is what the data shows, not a name chosen to flatter.
Every goal, with the league's video
Preseason, regular season and playoffs are kept apart. Each row links to the NHL's own highlight page; no video is hosted here. Where a clip has been reviewed, the reading of it is a model judgement of the frames, not a measurement.
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What the club lists him as
An injury listing and a projected slot are the club's statements relayed by a licensed feed, shown with their dates. CapOrCup infers nothing from them.
Projected slot · line 1 centre, first power-play unit (NYR depth chart as of 2026-09-28; Sportradar NHL API v7, team depth charts)
Games missed
The NHL publishes no injury feed. This counts games his club played while he did not dress, for any reason: injury, illness, a healthy scratch, a suspension or a trade gap. No cause is claimed.
Speed, shot and ice
From the NHL's own player-tracking data. Percentiles are the NHL's: the share of the league below this player.