D. van de Donk Stats
Club: London City Lionesses W · Position: Midfielder.
Next: London City Lionesses W v Birmingham City W · FA WSL · Sun 8 Nov, 14:30 GMT · Birmingham City W allow 20.5 shots per game over their last 8 — form, head-to-head and stats on the match page.
D. van de Donk (London City Lionesses W, midfielder) has 3 goals and 4 assists in 8 appearances in 2026/27 (708 minutes, all competitions). Shots per 90 in Women's Super League: 3.18, higher than 91% of 56 midfielders. Started 8 of 8. Next: London City Lionesses W v Birmingham City W, Sun 8 Nov, 14:30 GMT.
Key Facts
Figures as of
D. van de Donk has a TACTIX Impact of 6.1 per match across eight appearances in Women's Super League matches, the 96th percentile of 212 qualifying Women's Super League players.
Van de Donk had a shot in 10 of 10 recent appearances with the stat recorded (all competitions).
In 2026/27, D. van de Donk has been shown one yellow card across eight appearances.
D. van de Donk (London City Lionesses W) averages a TACTIX Impact of 6.1 per match across eight appearances, and has three goals and four assists in eight appearances in 2026/27 — per TACTIX Impact, an open rating with every weight published (as of 1 November 2026).
An open, transparent rating built from raw match actions across 8 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
D. van de Donk is a midfielder at London City Lionesses W, with eight appearances and 708 minutes in the Women's Super League 2026/27. TACTIX Impact: 6.1 per match across eight appearances in Women's Super League matches, the 96th percentile of 212 qualifying Women's Super League players. D. van de Donk has started 8 of eight appearances in 2026/27 (all competitions), averaging 89 minutes. That is 98% of the Women's Super League minutes available to him (708 of 720 across eight club matches).
Keeper, venue and career
Home and away differ: 2.28 shots per 90 at home (356 minutes) against 4.09 away (352 minutes), all competitions 2026/27.
By the numbers
By the numbers, among the 56 Women's Super League midfielders with 288+ minutes: 3.18 shots per 90 — higher than 91% and 1.91 key passes per 90 — higher than 77%. D. van de Donk recorded a shot in 10 of the last 10 appearances where it was measured (all competitions).
Strengths and weaknesses
Strengths, against Midfielders, Women's Super League 2026/27 (n = 56): Shooting (elite, 91st percentile) and Scoring (elite, 86th percentile).
Form and availability
Impact over the last five matches (newest first): 5.6, 5.6, 4.8, 16.0, 3.1 — trending down, averaging 7.0 against a season figure of 6.1. Discipline: one yellow card in eight appearances in 2026/27, and 0.76 fouls per 90 in the Women's Super League. Next up: London City Lionesses W v Birmingham City W, Sun 8 Nov, 14:30 GMT (FA WSL). Birmingham City W allow 20.5 shots per game over their last 8.
Similar players
Closest radar profiles among Midfielders, Women's Super League 2026/27 (n = 56): L. Hemp, S. Nusken and O. Holdt (cosine similarity of the eight axis percentiles; the full list is part of Pro).
Season 2026/27 · All Competitions
Started 8 of 8 appearances · 89 minutes per appearance · 98% of the Women's Super League minutes available (708 of 720).
Women's Super League only: 8 apps · 6.1 Impact per match in 2026/27. See the Women's Super League Impact leaderboard.
D. van de Donk Stats per 90 · Women's Super League 2026/27, midfielder
| Stat | D. van de Donk | vs midfielders |
|---|---|---|
| Passesper 90 | 34.96 | higher than 34% |
| Pass accuracy | 82.2% | higher than 55% |
| Key passesper 90 | 1.91 | higher than 77% |
| Shotsper 90 | 3.18 | higher than 91% |
| Shots on targetper 90 | 0.89 | higher than 75% |
| Successful dribblesper 90 | 1.02 | higher than 63% |
| Tacklesper 90 | 1.65 | higher than 38% |
| Interceptionsper 90 | 0.38 | higher than 11% |
| Fouls committedper 90 | 0.76 | fewer than 57% |
| Cardsper 90 | 0.13 | fewer than 52% |
Per 90 minutes over 708 minutes in Women's Super League 2026/27. Ranked against 56 Women's Super League midfielders with 288+ 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 10 Appearances · All Competitions
- 1+ shot10 of 10
- 1+ shot on target6 of 10
- 1+ tackle8 of 10
- 1+ foul committed6 of 10
- Scored4 of 10
- Assisted4 of 10
- Booked1 of 10
How often, not how much: the matches where each line happened, out of the matches where it was recorded (2024-10-08 to 2026-11-01, newest first). History, not a forecast — the model’s player projections are on Pro.
Profile Radar · Women's Super League 2026/27, midfielder
D. van de Donk · Midfielders, Women's Super League 2026/27 (n = 56) median
| Axis | D. van de Donk | Median | Pct |
|---|---|---|---|
| Shootingshots p90 | 3.18on target 28.0% | 1.13 | 91st |
| Scoringgoals p90 | 0.38 | 0.00 | 86th |
| Creationkey passes + assists p90 | 2.42 | 1.28 | 86th |
| Passingpasses p90 | 34.96accuracy 82.2% | 39.38 | 34th |
| Dribblingsuccessful dribbles p90 | 1.02success 42.1% | 0.75 | 63rd |
| Duelsduels won p90 | 4.70win rate 41.1% | 4.27 | 61st |
| Defendingtackles + interceptions + blocks p90 | 2.80 | 3.28 | 36th |
| Disciplinecards + fouls p90 (fewer is better) | 0.89 | 0.99 | 38th |
Radius is the percentile within the cohort; Discipline count fewer as better. Figures are per 90 minutes over 708 minutes in Women's Super League 2026/27. Cohort: 56 players with 288+ minutes — an early-season floor; it rises to 450 as the season goes on, so early cohorts are small.
Where That Sits in the Women's Super League
6.1 per match — 96th percentile of 212 qualifying Women's Super League players (3+ apps), 2026/27. Shaded band = 10th–90th percentile; the line is the median.
Career · Every Team, by Season · All Competitions
Game Log · Last 10 Appearances · All Competitions
| Date | Opponent | Min | G | A | Sh | SoT | KP | Tkl | Cards | Rating | Impact | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-11-01 | v Manchester City W | 86 | 0 | 0 | 3 | 1 | 5 | 3 | 0 | 7.2 | 5.6 | |
| 2026-10-25 | @ Liverpool W | 90 | 0 | 1 | 2 | 0 | 1 | 3 | 6.8 | 5.6 | ||
| 2026-10-18 | v Everton W | 90 | 0 | 1 | 3 | 0 | 1 | 2 | 0 | 6.5 | 4.8 | |
| 2026-10-04 | @ Tottenham Hotspur W | 90 | 1 | 2 | 6 | 1 | 5 | 2 | 0 | 8.8 | 16 | |
| 2026-09-26 | v Brighton W | 90 | 0 | 0 | 1 | 0 | 1 | 2 | 0 | 6.2 | 3.1 | |
| 2026-09-19 | @ Charlton Athletic W | 82 | 0 | 0 | 3 | 1 | 1 | 0 | 0 | 6.3 | 2.5 | |
| 2026-09-12 | @ West Ham W | 90 | 1 | 0 | 5 | 3 | 1 | 0 | 0 | 7.5 | 5.7 | |
| 2026-09-04 | v Manchester United W | 90 | 1 | 0 | 2 | 1 | 0 | 1 | 0 | 7.7 | 5.2 | |
| 2024-12-11 | Galatasaray W v Lyon W2024/25 | 90 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 8.9 | 9.7 | |
| 2024-10-08 | Lyon W v Galatasaray W2024/25 | 76 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 6.9 | 1.5 |
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 1.77 at home (356 min), 2.05 away (352 min); Shots 2.28 at home (356 min), 4.09 away (352 min).
Impact Trend · Last 10 Matches
TACTIX Model: D. van de Donk’s Match Projections
Frequently Asked Questions
- How many shots does D. van de Donk average per 90?
- D. van de Donk averages 3.18 shots per 90 minutes in Women's Super League 2026/27 (708 minutes) — higher than 91% of 56 Women's Super League midfielders with 288+ minutes.
- How many goals and assists does D. van de Donk have this season?
- This season D. van de Donk has 3 goals and 4 assists in 8 appearances (708 minutes played).
- Does D. van de Donk start every game?
- D. van de Donk started 8 of 8 appearances in 2026/27, averaging 89 minutes per appearance (all competitions).
- How often does D. van de Donk get booked?
- D. van de Donk 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.