J. Kalulu Stats
Club: Angers · Position: Defender · Born: 29 Nov 2004 (age 21) · Nationality: France.
Next: Angers v Nice · Ligue 1 · Sun 8 Nov, 16:15 GMT · Nice allow 13.1 shots per game over their last 8 — form, head-to-head and stats on the match page.
J. Kalulu (Angers, defender) has 0 goals and 1 assist in 10 appearances in 2026/27 (781 minutes, all competitions). Tackles per 90 in Ligue 1: 1.94, higher than 66% of 73 defenders. Started 9 of 10. Next: Angers v Nice, Sun 8 Nov, 16:15 GMT.
Key Facts
Figures as of
Across eight Ligue 1 games in 2026/27, J. Kalulu has played 648 minutes for Angers.
Kalulu’s TACTIX Impact runs at 3.4 per match over eight appearances in Ligue 1 matches, the 74th percentile of 351 qualifying Ligue 1 players.
J. Kalulu has nine starts from 10 appearances in 2026/27 (all competitions), 78 minutes per appearance.
J. Kalulu (Angers) averages a TACTIX Impact of 3 per match across 10 appearances, and has zero goals and one assist in 10 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 10 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
J. Kalulu is a defender at Angers, with eight appearances and 648 minutes in Ligue 1 2026/27. TACTIX Impact: 3.4 per match across eight appearances in Ligue 1 matches, the 74th percentile of 351 qualifying Ligue 1 players. J. Kalulu has started 9 of 10 appearances in 2026/27 (all competitions), averaging 78 minutes. That is 80% of the Ligue 1 minutes available to him (648 of 810 across nine club matches).
Keeper, venue and career
Home and away differ: 2.16 tackles per 90 at home (333 minutes) against 1.61 away (448 minutes), all competitions 2026/27.
By the numbers
By the numbers, among the 73 Ligue 1 defenders with 360+ minutes: 0.28 fouls committed per 90 — fewer than 97% and a duel win rate of 64.0% — higher than 80%. J. Kalulu recorded a tackle in 9 of the last 10 appearances where it was measured (all competitions).
Strengths and weaknesses
Strengths, against Defenders, Ligue 1 2026/27 (n = 73): Discipline (elite, 95th percentile) and Creation (elite, 86th percentile). Lower on the radar: Shooting (seventh percentile) and Passing (11th percentile), against 73 Defenders, Ligue 1 2026/27 (n = 73).
Form and availability
Impact over the last five matches (newest first): 3.6, 4.5, 1.8, 5.9, 2.6 — broadly level, averaging 3.7 against a season figure of 3.0. Discipline: one yellow card in 10 appearances in 2026/27, and 0.28 fouls per 90 in Ligue 1. Next up: Angers v Nice, Sun 8 Nov, 16:15 GMT (Ligue 1). Nice allow 13.1 shots per game over their last 8.
Similar players
Closest radar profiles among Defenders, Ligue 1 2026/27 (n = 73): A. Ouzenadji, G. Antwi and D. Sylla (cosine similarity of the eight axis percentiles; the full list is part of Pro).
Season 2026/27 · All Competitions
Started 9 of 10 appearances, 1 from the bench · 78 minutes per appearance · 80% of the Ligue 1 minutes available (648 of 810).
Ligue 1 only: 8 apps · 3.4 Impact per match in 2026/27. The figures above cover all 2 competitions played that season, which is why they can differ. See the Ligue 1 Impact leaderboard.
J. Kalulu Stats per 90 · Ligue 1 2026/27, defender
| Stat | J. Kalulu | vs defenders |
|---|---|---|
| Tacklesper 90 | 1.94 | higher than 66% |
| Interceptionsper 90 | 1.67 | higher than 79% |
| Blocksper 90 | 0.14 | higher than 18% |
| Duels wonper 90 | 4.44 | higher than 55% |
| Duel win rate | 64.0% | higher than 80% |
| Fouls committedper 90 | 0.28 | fewer than 97% |
| Cardsper 90 | 0.14 | fewer than 49% |
| Passesper 90 | 35.69 | higher than 11% |
| Pass accuracy | 84.0% | higher than 21% |
Per 90 minutes over 648 minutes in Ligue 1 2026/27. Ranked against 73 Ligue 1 defenders 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 10 Appearances · All Competitions
- 1+ tackle9 of 10
- 2+ tackles6 of 10
- 1+ foul committed2 of 10
- 1+ shot1 of 10
- Booked1 of 10
How often, not how much: the matches where each line happened, out of the matches where it was recorded (2026-08-08 to 2026-11-01, newest first). History, not a forecast — the model’s player projections are on Pro.
Shooting 2026/27
J. Kalulu has taken one shot worth 0.02 non-penalty xG in Ligue 1 in 2026/27 and scored zero non-penalty goals — −0.02 against what the chances were worth. J. Kalulu has set up seven shots for teammates, worth 0.83 xA.
Shot data: Understat; TACTIX holds one shot for this player in 2026/27, over one match, to 7 September. STALE: no new shot data for more than a week.
Profile Radar · Ligue 1 2026/27, defender
J. Kalulu · Defenders, Ligue 1 2026/27 (n = 73) median
| Axis | J. Kalulu | Median | Pct |
|---|---|---|---|
| Shootingshots p90 | 0.00 | 0.45 | 7th |
| Scoringgoals p90 | 0.00 | 0.00 | 36th |
| Creationkey passes + assists p90 | 1.25 | 0.40 | 86th |
| Passingpasses p90 | 35.69accuracy 84.0% | 54.29 | 11th |
| Dribblingsuccessful dribbles p90 | 0.83success 75.0% | 0.23 | 86th |
| Duelsduels won p90 | 4.44win rate 64.0% | 4.00 | 55th |
| Defendingtackles + interceptions + blocks p90 | 3.75 | 3.01 | 71st |
| Disciplinecards + fouls p90 (fewer is better) | 0.42 | 1.00 | 5th |
Radius is the percentile within the cohort; Discipline count fewer as better. Figures are per 90 minutes over 648 minutes in Ligue 1 2026/27. Cohort: 73 players with 360+ minutes — an early-season floor; it rises to 450 as the season goes on, so early cohorts are small.
Where That Sits in Ligue 1
3.4 per match — 74th percentile of 351 qualifying Ligue 1 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 | @ Lyon | 90 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 6.3 | 3.6 | Match → |
| 2026-10-25 | v Lorient | 90 | 0 | 0 | 0 | 0 | 3 | 2 | 0 | 7.2 | 4.5 | Match → |
| 2026-10-18 | v Marseille | 18 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 5.5 | 1.8 | Match → |
| 2026-10-10 | @ Stade Brestois 29 | 90 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 6.3 | 5.9 | Match → |
| 2026-09-19 | v Estac Troyes | 90 | 0 | 0 | 0 | 0 | 2 | 3 | 0 | 7.2 | 2.6 | Match → |
| 2026-09-12 | @ Le Havre | 90 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7.3 | 3.5 | Match → |
| 2026-09-06 | v Rennes | 90 | 0 | 0 | 0 | 0 | 0 | 1 | 6.2 | 1.7 | Match → | |
| 2026-08-29 | @ Auxerre | 90 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6.9 | 3.2 | Match → |
| 2026-08-14 | Dijon v PAU | 88 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6.9 | 1.4 | |
| 2026-08-08 | PAU v Annecy sub | 45 | 0 | 0 | 3 | 1 | 1 | 0 | 0 | 6.9 | 1.4 |
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 2.16 at home (333 min), 1.61 away (448 min); Interceptions 1.08 at home (333 min), 1.61 away (448 min).
Impact Trend · Last 10 Matches
TACTIX Model: J. Kalulu’s Match Projections
Frequently Asked Questions
- How many tackles does J. Kalulu average per 90?
- J. Kalulu averages 1.94 tackles per 90 minutes in Ligue 1 2026/27 (648 minutes) — higher than 66% of 73 Ligue 1 defenders with 360+ minutes.
- How many goals and assists does J. Kalulu have this season?
- This season J. Kalulu has 0 goals and 1 assist in 10 appearances (781 minutes played).
- Does J. Kalulu start every game?
- J. Kalulu started 9 of 10 appearances in 2026/27, averaging 78 minutes per appearance (all competitions).
- How often does J. Kalulu get booked?
- J. Kalulu 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.