N. Layzell Stats
Club: Everton W · Position: Defender.
Next: Tottenham Hotspur W v Everton W · FA WSL · Sun 15 Nov, 14:00 GMT · Tottenham Hotspur W allow 13.0 shots per game over their last 8 — form, head-to-head and stats on the match page.
N. Layzell (Everton W, defender) has 0 goals and 0 assists in 8 appearances in 2026/27 (692 minutes, all competitions). Tackles per 90 in Women's Super League: 0.78, higher than 8% of 59 defenders. Started 8 of 8. Next: Tottenham Hotspur W v Everton W, Sun 15 Nov, 14:00 GMT.
Key Facts
Figures as of
N. Layzell has a TACTIX Impact of 2.0 per match across eight appearances in Women's Super League matches, the 33rd percentile of 212 qualifying Women's Super League players.
Against defenders in the Women's Super League 2026/27, N. Layzell stands out on 0.26 fouls committed per 90 (fewer than 90%) and 68.28 passes per 90 (higher than 80%); the cohort is 59 players with 288+ minutes.
N. Layzell (Everton W) averages a TACTIX Impact of 2 per match across eight appearances — per TACTIX Impact, an open rating with every weight published (as of 7 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
N. Layzell is a defender at Everton W, with eight appearances and 692 minutes in the Women's Super League 2026/27. TACTIX Impact: 2.0 per match across eight appearances in Women's Super League matches, the 33rd percentile of 212 qualifying Women's Super League players. N. Layzell has started 8 of eight appearances in 2026/27 (all competitions), averaging 87 minutes. That is 85% of the Women's Super League minutes available to him (692 of 810 across nine club matches).
Keeper, venue and career
Home and away differ: 0.54 tackles per 90 at home (332 minutes) against 1.00 away (360 minutes), all competitions 2026/27.
By the numbers
By the numbers, among the 59 Women's Super League defenders with 288+ minutes: 0.26 fouls committed per 90 — fewer than 90% and 68.28 passes per 90 — higher than 80%.
Strengths and weaknesses
Strengths, against Defenders, Women's Super League 2026/27 (n = 59): Discipline (elite, 90th percentile) and Passing (strong, 80th percentile). Lower on the radar: Defending (second percentile) and Creation (27th percentile), against 59 Defenders, Women's Super League 2026/27 (n = 59).
Form and availability
Impact over the last five matches (newest first): 1.7, 1.7, 1.5, 3.7, 1.9 — trending down, averaging 2.1 against a season figure of 2.0. Next up: Tottenham Hotspur W v Everton W, Sun 15 Nov, 14:00 GMT (FA WSL). Tottenham Hotspur W allow 13.0 shots per game over their last 8.
Similar players
Closest radar profiles among Defenders, Women's Super League 2026/27 (n = 59): H. Blundell, C. Hayes and S. Catley (cosine similarity of the eight axis percentiles; the full list is part of Pro).
Season 2026/27 · All Competitions
Started 8 of 8 appearances · 87 minutes per appearance · 85% of the Women's Super League minutes available (692 of 810).
Women's Super League only: 8 apps · 2 Impact per match in 2026/27. See the Women's Super League Impact leaderboard.
N. Layzell Stats per 90 · Women's Super League 2026/27, defender
| Stat | N. Layzell | vs defenders |
|---|---|---|
| Tacklesper 90 | 0.78 | higher than 8% |
| Interceptionsper 90 | 0.65 | higher than 22% |
| Blocksper 90 | 0.00 | higher than 22% |
| Duels wonper 90 | 2.99 | higher than 36% |
| Duel win rate | 59.0% | higher than 66% |
| Fouls committedper 90 | 0.26 | fewer than 90% |
| Cardsper 90 | 0.00 | fewer than 73% |
| Passesper 90 | 68.28 | higher than 80% |
| Pass accuracy | 89.0% | higher than 80% |
Per 90 minutes over 692 minutes in Women's Super League 2026/27. Ranked against 59 Women's Super League defenders 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+ tackle5 of 10
- 2+ tackles1 of 10
- 1+ foul committed2 of 10
- 1+ shot3 of 10
- Booked0 of 10
How often, not how much: the matches where each line happened, out of the matches where it was recorded (2025-03-19 to 2026-11-07, newest first). History, not a forecast — the model’s player projections are on Pro.
Profile Radar · Women's Super League 2026/27, defender
N. Layzell · Defenders, Women's Super League 2026/27 (n = 59) median
| Axis | N. Layzell | Median | Pct |
|---|---|---|---|
| Shootingshots p90 | 0.52on target 50.0% | 0.64 | 42nd |
| Scoringgoals p90 | 0.00 | 0.00 | 36th |
| Creationkey passes + assists p90 | 0.26 | 0.63 | 27th |
| Passingpasses p90 | 68.28accuracy 89.0% | 47.55 | 80th |
| Dribblingsuccessful dribbles p90 | 0.39success 75.0% | 0.34 | 53rd |
| Duelsduels won p90 | 2.99win rate 59.0% | 4.08 | 36th |
| Defendingtackles + interceptions + blocks p90 | 1.43 | 3.38 | 2nd |
| Disciplinecards + fouls p90 (fewer is better) | 0.26 | 0.81 | 10th |
Radius is the percentile within the cohort; Discipline count fewer as better. Figures are per 90 minutes over 692 minutes in Women's Super League 2026/27. Cohort: 59 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
2 per match — 33th 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
| Season | Team | Apps | Goals | Assists | Tkl+Int/90 | KP/90 | Impact |
|---|---|---|---|---|---|---|---|
| 2026/27 | Everton W | 8 | 0 | 0 | 1.43 | 0.26 | 2.0 |
| 2024/25 | Manchester City W | 2 | 0 | 0 | – | – | 0.5 |
| 2023/24 | Bristol City W | 9 | 0 | 1 | 3.13 | 0.26 | 3.1 |
Game Log · Last 10 Appearances · All Competitions
| Date | Opponent | Min | G | A | Sh | SoT | KP | Tkl | Cards | Rating | Impact | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-11-07 | @ Chelsea W | 90 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6.5 | 1.7 | |
| 2026-10-31 | v Manchester United W | 90 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 7.2 | 1.7 | |
| 2026-10-25 | v Aston Villa W | 90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.1 | 1.5 | |
| 2026-10-18 | @ London City Lionesses W | 90 | 0 | 0 | 2 | 2 | 0 | 2 | 0 | 6.5 | 3.7 | |
| 2026-10-04 | v Birmingham City W | 90 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 6.8 | 1.9 | |
| 2026-09-27 | @ Liverpool W | 90 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6.3 | 1 | |
| 2026-09-20 | @ West Ham W | 90 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7.5 | 2.1 | |
| 2026-09-13 | v Charlton Athletic W | 62 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7.3 | 2.2 | |
| 2025-03-27 | Chelsea W v Manchester City W2024/25 sub | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.6 | 1 | |
| 2025-03-19 | Manchester City W v Chelsea W2024/25 sub | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | – | 0 |
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: Tackles 0.54 at home (332 min), 1.00 away (360 min); Interceptions 0.27 at home (332 min), 1.00 away (360 min).
Impact Trend · Last 10 Matches
TACTIX Model: N. Layzell’s Match Projections
Frequently Asked Questions
- How many tackles does N. Layzell average per 90?
- N. Layzell averages 0.78 tackles per 90 minutes in Women's Super League 2026/27 (692 minutes) — higher than 8% of 59 Women's Super League defenders with 288+ minutes.
- How many goals and assists does N. Layzell have this season?
- This season N. Layzell has 0 goals and 0 assists in 8 appearances (692 minutes played).
- Does N. Layzell start every game?
- N. Layzell started 8 of 8 appearances in 2026/27, averaging 87 minutes per appearance (all competitions).
- How often does N. Layzell get booked?
- N. Layzell was booked in 0 of the last 10 appearances where cards were recorded (all competitions); 0 yellow and 0 red this season.
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.