Christian Pulišić Stats
Club: AC Milan · Position: Midfielder · Born: 18 Sep 1998 (age 28) · Nationality: USA.
Next: Genoa v AC Milan · Serie A · Sun 8 Nov, 14:00 GMT · Genoa allow 14.8 shots per game over their last 8 — form, head-to-head and stats on the match page.
Christian Pulišić (AC Milan, midfielder) has 4 goals and 3 assists in 18 appearances in 2026/27 (1036 minutes, all competitions). Shots per 90 in Serie A: 1.53, higher than 86% of 83 midfielders. Started 15 of 18. Next: Genoa v AC Milan, Sun 8 Nov, 14:00 GMT.
Key Facts
Figures as of
Christian Pulišić has seven appearances and 471 minutes in Serie A 2026/27 as a midfielder for AC Milan.
Pulišić’s TACTIX Impact runs at 4.4 per match over seven appearances in Serie A matches, the 95th percentile of 420 qualifying Serie A players.
Against midfielders in Serie A 2026/27, Christian Pulišić stands out on 2.29 successful dribbles per 90 (higher than 98%) and 1.15 shots on target per 90 (higher than 96%); the cohort is 83 players with 360+ minutes.
Christian Pulišić (AC Milan) averages a TACTIX Impact of 3.4 per match across 18 appearances, and has four goals and three assists in 18 appearances in 2026/27 — per TACTIX Impact, an open rating with every weight published (as of 5 November 2026).
An open, transparent rating built from raw match actions across 18 appearances in 2026/27 (all competitions) — every weight is published. Higher is better; a negative score just means costly actions outweighed productive ones in that sample — not a verdict on the player.
Profile
Christian Pulišić is a midfielder at AC Milan, with seven appearances and 471 minutes in Serie A 2026/27. TACTIX Impact: 4.4 per match across seven appearances in Serie A matches, the 95th percentile of 420 qualifying Serie A players. Christian Pulišić has started 15 of 18 appearances in 2026/27 (all competitions), averaging 58 minutes. That is 52% of the Serie A minutes available to him (471 of 900 across 10 club matches).
Keeper, venue and career
Home and away differ: 1.30 key passes per 90 at home (761 minutes) against 3.27 away (275 minutes), all competitions 2026/27.
By the numbers
By the numbers, among the 83 Serie A midfielders with 360+ minutes: 2.29 successful dribbles per 90 — higher than 98% and 1.15 shots on target per 90 — higher than 96%. Successful dribbles per 90 is up from 1.67 last season (1612 minutes in Serie A) to 2.29 in 2026/27. Christian Pulišić recorded a shot in 8 of the last 10 appearances where it was measured (all competitions).
Strengths and weaknesses
Strengths, against Midfielders, Serie A 2026/27 (n = 83): Dribbling (elite, 98th percentile) and Scoring (elite, 92nd percentile). Lower on the radar: Defending (second percentile), against 83 Midfielders, Serie A 2026/27 (n = 83).
Form and availability
Impact over the last five matches (newest first): 2.2, 6.4, 1.6, 7.7, 1.5 — broadly level, averaging 3.9 against a season figure of 3.4. Discipline: one yellow card in 18 appearances in 2026/27, and 0.76 fouls per 90 in Serie A. For USA this season: eight appearances, one goal, two assists in World Cup and Friendlies — counted in the all-competitions totals, not in the club percentile. Next up: Genoa v AC Milan, Sun 8 Nov, 14:00 GMT (Serie A). Genoa allow 14.8 shots per game over their last 8.
Similar players
Closest radar profiles among Midfielders, Serie A 2026/27 (n = 83): Diego Moreira, M. Baturina and A. Zambo Anguissa (cosine similarity of the eight axis percentiles; the full list is part of Pro).
Season 2026/27 · All Competitions
Started 15 of 18 appearances, 3 from the bench · 58 minutes per appearance · 52% of the Serie A minutes available (471 of 900).
Serie A only: 7 apps · 4.4 Impact per match in 2026/27. The figures above cover all 2 competitions played that season, which is why they can differ. See the Serie A Impact leaderboard.
Christian Pulišić Stats per 90 · Serie A 2026/27, midfielder
| Stat | Christian Pulišić | vs midfielders | Last season |
|---|---|---|---|
| Passesper 90 | 45.86 | higher than 42% | 37.30 |
| Pass accuracy | 88.3% | higher than 61% | 85.9% |
| Key passesper 90 | 1.91 | higher than 78% | 2.12 |
| Shotsper 90 | 1.53 | higher than 86% | 2.29 |
| Shots on targetper 90 | 1.15 | higher than 96% | 1.40 |
| Successful dribblesper 90 | 2.29 | higher than 98% | 1.67 |
| Tacklesper 90 | 0.76 | higher than 6% | 0.84 |
| Interceptionsper 90 | 0.19 | higher than 5% | 0.17 |
| Fouls committedper 90 | 0.76 | fewer than 66% | 0.61 |
| Cardsper 90 | 0.19 | fewer than 34% | 0.00 |
Per 90 minutes over 471 minutes in Serie A 2026/27. Ranked against 83 Serie A midfielders with 360+ minutes; “higher than N%” means a higher figure than N% of them, and for fouls, cards, offsides and goals conceded “fewer than” is the better direction. Last season: the same competition, 1612 minutes.
Last 10 Appearances · All Competitions
- 1+ shot8 of 10
- 1+ shot on target6 of 10
- 1+ tackle4 of 10
- 1+ foul committed4 of 10
- Scored3 of 10
- Assisted1 of 10
- Booked1 of 10
How often, not how much: the matches where each line happened, out of the matches where it was recorded (2026-09-12 to 2026-11-05, newest first). History, not a forecast — the model’s player projections are on Pro.
Shooting 2026/27
Christian Pulišić has taken 10 shots worth 2.06 non-penalty xG in Serie A in 2026/27 and scored three non-penalty goals — +0.94 on what the chances were worth. Christian Pulišić has set up 10 shots for teammates, worth 1.93 xA.
Shot data: Understat; TACTIX holds 10 shots for this player in 2026/27, over six matches, to 1 November.
Profile Radar · Serie A 2026/27, midfielder
Christian Pulišić · Midfielders, Serie A 2026/27 (n = 83) median
| Axis | Christian Pulišić | Median | Pct |
|---|---|---|---|
| Shootingshots p90 | 1.53on target 75.0% | 1.03 | 86th |
| Scoringgoals p90 | 0.57 | 0.11 | 92nd |
| Creationkey passes + assists p90 | 2.10 | 1.36 | 78th |
| Passingpasses p90 | 45.86accuracy 88.3% | 48.84 | 42nd |
| Dribblingsuccessful dribbles p90 | 2.29success 60.0% | 0.51 | 98th |
| Duelsduels won p90 | 4.78win rate 43.1% | 3.85 | 77th |
| Defendingtackles + interceptions + blocks p90 | 1.34 | 2.83 | 2nd |
| Disciplinecards + fouls p90 (fewer is better) | 0.96 | 1.05 | 46th |
Radius is the percentile within the cohort; Discipline count fewer as better. Figures are per 90 minutes over 471 minutes in Serie A 2026/27. Cohort: 83 players with 360+ minutes — an early-season floor; it rises to 450 as the season goes on, so early cohorts are small.
For USA · national team · 2026/27
| Competition | Apps | Goals | Assists | Impact |
|---|---|---|---|---|
| World Cup | 4 | 0 | 1 | 2.9 |
| Friendlies | 4 | 1 | 1 | 2.8 |
International appearances are counted in the all-competitions totals above. The league percentile and the radar are club-only.
Where That Sits in Serie A
4.4 per match — 95th percentile of 420 qualifying Serie A players (3+ apps), 2026/27. Shaded band = 10th–90th percentile; the line is the median.
Career · Every Team, by Season · All Competitions
| Season | Team | Apps | Goals | Assists | SoT/90 | KP/90 | Impact |
|---|---|---|---|---|---|---|---|
| 2026/27 | AC Milan | 10 | 3 | 1 | 1.22 | 2.28 | 3.8 |
| 2026/27 | USA national team | 8 | 1 | 2 | 0.61 | 1.21 | 2.9 |
| 2025/26 | AC Milan | 34 | 10 | 4 | 1.40 | 2.24 | 3.2 |
| 2025/26 | USA national team | 4 | 0 | 0 | 0.00 | 1.60 | 0.8 |
| 2024/25 | AC Milan | 44 | 15 | 10 | 0.96 | 2.50 | 4.6 |
| 2023/24 | AC Milan | 48 | 15 | 9 | 1.03 | 1.52 | 4.1 |
| 2022/23 | Chelsea | 30 | 1 | 2 | 0.69 | 1.72 | 1.4 |
| 2022/23 | USA national team | 5 | 4 | 0 | 1.88 | 1.88 | 5.3 |
| 2021/22 | Chelsea | 37 | 8 | 4 | 0.63 | 1.09 | 2.8 |
| 2020/21 | Chelsea | 43 | 6 | 4 | 0.91 | 1.43 | 3.2 |
| 2019/20 | Chelsea | 34 | 11 | 7 | 1.19 | 1.69 | 4.8 |
| 2018/19 | Borussia Dortmund | 9 | 1 | 0 | 0.58 | 0.58 | 3.0 |
| 2018/19 | USA national team | 5 | 4 | 1 | 1.07 | 0.00 | 3.7 |
| 2017/18 | Borussia Dortmund | 5 | 0 | 0 | 0.24 | 2.17 | 3.9 |
Game Log · Last 10 Appearances · All Competitions
| Date | Opponent | Min | G | A | Sh | SoT | KP | Tkl | Cards | Rating | Impact | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-11-05 | v Ferencvarosi TC | 45 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 6.9 | 2.2 | Match → |
| 2026-10-31 | v Inter | 82 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 7.8 | 6.4 | Match → |
| 2026-10-28 | v Bologna | 32 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 6.1 | 1.6 | Match → |
| 2026-10-25 | @ Udinese | 90 | 1 | 0 | 4 | 2 | 3 | 0 | 0 | 8.2 | 7.7 | Match → |
| 2026-10-18 | v Atalanta | 75 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6.3 | 1.5 | Match → |
| 2026-10-15 | @ Red Bull Salzburg | 30 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 6.8 | 3.5 | Match → |
| 2026-10-11 | @ Sassuolo | 78 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 7.2 | 2.4 | Match → |
| 2026-09-20 | v Lecce | 69 | 1 | 0 | 1 | 1 | 2 | 0 | 0 | 8.5 | 6.5 | Match → |
| 2026-09-16 | v Benfica sub | 45 | 0 | 0 | 2 | 2 | 2 | 0 | 0 | 6.2 | 1.6 | Match → |
| 2026-09-12 | @ Lazio sub | 45 | 0 | 1 | 1 | 1 | 4 | 0 | 7.3 | 4.7 | Match → |
Min = minutes; Sh = shots, SoT = shots on target, KP = key passes, Tkl = tackles; – = not recorded for that match. Rating is the data provider’s; Impact is TACTIX’s published formula.
Home v away · per 90 · 2026/27 · all competitions: Key passes 1.30 at home (761 min), 3.27 away (275 min); Shots 1.30 at home (761 min), 2.95 away (275 min).
Impact Trend · Last 10 Matches
TACTIX Model: Christian Pulišić’s Match Projections
Frequently Asked Questions
- How many shots does Christian Pulišić average per 90?
- Christian Pulišić averages 1.53 shots per 90 minutes in Serie A 2026/27 (471 minutes) — higher than 86% of 83 Serie A midfielders with 360+ minutes.
- How many goals and assists does Christian Pulišić have this season?
- This season Christian Pulišić has 4 goals and 3 assists in 18 appearances (1036 minutes played).
- Does Christian Pulišić start every game?
- Christian Pulišić started 15 of 18 appearances in 2026/27, averaging 58 minutes per appearance (all competitions).
- How often does Christian Pulišić get booked?
- Christian Pulišić was booked in 1 of the last 10 appearances where cards were recorded (all competitions); 1 yellow and 0 red this season.
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How TACTIX Impact is calculated · Live track record · Stats are historical; predictions are model output, not betting advice.