A. Thompson
A. Thompson (Angel City W, midfielder) had 8 goals and 4 assists in 25 appearances in 2025 (2073 minutes, all competitions). Shots per 90 in NWSL: 1.99, higher than 95% of 87 midfielders. Started 25 of 25.
Key facts
As of 26 April 2026: A midfielder for Angel City W, A. Thompson has 16 appearances (1399 minutes) in NWSL 2025.
As of 26 April 2026: In 2025 A. Thompson has eight goals, four assists and 25 appearances in the matches TACTIX holds.
As of 26 April 2026: A. Thompson averages 5.2 Impact a match over 16 games in NWSL matches — 99th percentile among the 269 NWSL players who qualify.
A. Thompson (Angel City W) averaged a TACTIX Impact of 4.6 per match across 25 appearances, and scored eight goals and four assists in 25 appearances in 2025 — per TACTIX Impact, an open rating with every weight published (as of 26 April 2026).
An open, transparent rating built from raw match actions across 25 appearances in 2025 (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
A. Thompson is a midfielder at Angel City W, with 16 appearances and 1399 minutes in NWSL 2025. TACTIX Impact: 5.2 per match across 16 appearances in NWSL matches, the 99th percentile of 269 qualifying NWSL players. A. Thompson has started 25 of 25 appearances in 2025 (all competitions), averaging 83 minutes. That is 60% of the NWSL minutes available to him (1399 of 2340 across 26 club matches).
Keeper, venue and career
Against his career: 1.95 key passes per 90 in 2025 (2073 minutes) versus 1.91 across every season on record (2976 minutes).
By the numbers
By the numbers, among the 87 NWSL midfielders with 450+ minutes: 2.25 key passes per 90 — higher than 98% and 1.29 shots on target per 90 — higher than 97%. A. Thompson recorded a shot in 9 of the last 10 appearances where it was measured (all competitions).
Strengths and weaknesses
Strengths, against Midfielders, NWSL 2025 (n = 87): Creation (elite, 99th percentile) and Shooting (elite, 95th percentile). Lower on the radar: Passing (14th percentile), against 87 Midfielders, NWSL 2025 (n = 87).
Form and availability
Impact over the last five matches (newest first): 4.6, 3.1, 0.6, 5.1, 2.6 — broadly level, averaging 3.2 against a season figure of 4.6. Discipline: three yellow cards in 25 appearances in 2025, and 0.96 fouls per 90 in NWSL.
Similar players
Closest radar profiles among Midfielders, NWSL 2025 (n = 87): Kennedy Fuller, T. Chawinga and Savannah DeMelo (cosine similarity of the eight axis percentiles; the full list is part of Pro).
Season 2025 · all competitions
Started 25 of 25 appearances · 83 minutes per appearance · 60% of the NWSL minutes available (1399 of 2340).
Against his career: 1.95 key passes per 90 in 2025 (2073 minutes) · 1.91 across every season on record (2976 minutes).
NWSL only: 16 apps · 5.2 Impact per match in 2025. The figures above cover all 3 competitions played that season, which is why they can differ. See the NWSL Impact leaderboard.
A. Thompson stats per 90 · NWSL 2025, midfielder
| Stat | A. Thompson | vs midfielders |
|---|---|---|
| Passesper 90 | 22.97 | higher than 14% |
| Pass accuracy | 75.1% | higher than 40% |
| Key passesper 90 | 2.25 | higher than 98% |
| Shotsper 90 | 1.99 | higher than 95% |
| Shots on targetper 90 | 1.29 | higher than 97% |
| Successful dribblesper 90 | 1.03 | higher than 86% |
| Tacklesper 90 | 2.12 | higher than 60% |
| Interceptionsper 90 | 0.45 | higher than 14% |
| Fouls committedper 90 | 0.96 | fewer than 66% |
| Cardsper 90 | 0.19 | fewer than 26% |
Per 90 minutes over 1399 minutes in NWSL 2025. Ranked against 87 NWSL midfielders with 450+ 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+ shot9 of 10
- 2+ shots4 of 10
- 1+ shot on target6 of 10
- 1+ foul won5 of 10
- Scored3 of 10
- Assisted2 of 10
- Booked0 of 10
How often, not how much: the matches where each line happened, out of the matches where it was recorded (2025-08-22 to 2026-04-26, newest first). History, not a forecast — the model’s player projections are on Pro.
Profile radar · NWSL 2025, midfielder
A. Thompson · Midfielders, NWSL 2025 (n = 87) median
| Axis | A. Thompson | Median | Pct |
|---|---|---|---|
| Shootingshots p90 | 1.99on target 64.5% | 0.84 | 95th |
| Scoringgoals p90 | 0.39 | 0.09 | 92nd |
| Creationkey passes + assists p90 | 2.38 | 1.12 | 99th |
| Passingpasses p90 | 22.97accuracy 75.1% | 31.65 | 14th |
| Dribblingsuccessful dribbles p90 | 1.03success 45.7% | 0.55 | 86th |
| Duelsduels won p90 | 4.82win rate 49.3% | 4.45 | 68th |
| Defendingtackles + interceptions + blocks p90 | 2.70 | 2.80 | 45th |
| Disciplinecards + fouls p90 (fewer is better) | 1.16 | 1.27 | 39th |
Radius is the percentile within the cohort; Discipline count fewer as better. Figures are per 90 minutes over 1399 minutes in NWSL 2025. Cohort: 87 players with 450+ minutes.
Where that sits in NWSL
5.2 per match — 99th percentile of 269 qualifying NWSL players (9+ apps), 2025. 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 | Chelsea W | 6 | 1 | 2 | 1.00 | 2.19 | 4.4 |
| 2025 | Angel City W | 16 | 6 | 2 | 1.29 | 2.25 | 5.2 |
| 2025 | Chelsea W | 9 | 2 | 2 | 0.80 | 1.34 | 3.6 |
| 2024 | Angel City W | 3 | 1 | 2 | 0.95 | 1.91 | 6.7 |
| 2023 | Angel City W | 3 | 0 | 0 | 0.00 | 0.54 | 1.8 |
Game log · last 10 appearances · all competitions
| Date | Opponent | Min | G | A | Sh | SoT | KP | Tkl | Cards | Rating | Impact | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-04-26 | Everton W v Chelsea W | 61 | 0 | 1 | 1 | 1 | 2 | 1 | 0 | 7.5 | 4.6 | Match → |
| 2026-04-01 | Chelsea W v Arsenal W | 98 | 0 | 0 | 2 | 0 | 0 | 2 | 0 | 6.9 | 3.1 | Match → |
| 2026-03-24 | Arsenal W v Chelsea W | 90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.7 | 0.6 | Match → |
| 2026-01-11 | Chelsea W v West Ham W | 61 | 1 | 0 | 4 | 2 | 0 | 1 | 0 | 7 | 5.1 | Match → |
| 2025-12-17 | VfL Wolfsburg W v Chelsea W | 98 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 6.9 | 2.6 | Match → |
| 2025-11-20 | Chelsea W v Barcelona W | 90 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 6.9 | 2.3 | Match → |
| 2025-11-11 | St. Pölten W v Chelsea W | 59 | 0 | 0 | 1 | 1 | 3 | 1 | 0 | 6.9 | 4.1 | Match → |
| 2025-10-15 | Chelsea W v Paris FC W | 56 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 8.2 | 7.3 | Match → |
| 2025-10-08 | Twente W v Chelsea W | 61 | 0 | 0 | 1 | 1 | 2 | 1 | 0 | 7.3 | 2.4 | Match → |
| 2025-08-22 | v Orlando Pride W | 90 | 1 | 0 | 2 | 2 | 4 | 1 | 0 | 7.3 | 6.4 | 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 · 2025 · all competitions: Key passes 2.08 at home (907 min), 1.85 away (1166 min); Shots 1.89 at home (907 min), 1.93 away (1166 min).
Impact trend · last 10 matches
2025 is complete — this page is A. Thompson’s record for that season. See A. Thompson’s current season.
Frequently asked questions
- How many shots does A. Thompson average per 90?
- A. Thompson averages 1.99 shots per 90 minutes in NWSL 2025 (1399 minutes) — higher than 95% of 87 NWSL midfielders with 450+ minutes.
- How many goals and assists did A. Thompson have in 2025?
- In 2025 A. Thompson had 8 goals and 4 assists in 25 appearances (2073 minutes played).
- Did A. Thompson start regularly in 2025?
- A. Thompson started 25 of 25 appearances in 2025, averaging 83 minutes per appearance (all competitions).
- What was A. Thompson’s TACTIX Impact in 2025?
- A. Thompson averaged a TACTIX Impact of 4.6 per match across 25 appearances in 2025 in all competitions — an open rating built from raw match actions, with every weight published.
Today’s boards
Every fixture kicking off in the UK day, and the fixtures where the free pick leads with each market.
This page is generated from TACTIX’s match data by our software and checked automatically; data as of . How it works → · Report an error
How TACTIX Impact is calculated · Live track record · Stats are historical; predictions are model output, not betting advice.