Gil 2018 Stats
Played for Shandong Luneng in 2018 · Position: Defender.
Gil (Shandong Luneng, defender) had 1 goal and 0 assists in 6 appearances in 2018 (540 minutes, all competitions). Tackles per 90 in Super League: 0.50. Started 6 of 6.
Gil (Shandong Luneng) averaged a TACTIX Impact of 3.1 per match across six appearances, and scored one goal and zero assists in six appearances in 2018 — per TACTIX Impact, an open rating with every weight published (as of 7 November 2018).
An open, transparent rating built from raw match actions across 6 appearances in 2018 (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
Gil is a defender at Shandong Luneng, with six appearances and 540 minutes in the Super League 2018. TACTIX Impact: 3.1 per match across six appearances in Super League matches, the 72nd percentile of 65 qualifying Super League players. Gil has started 6 of six appearances in 2018 (all competitions), averaging 90 minutes. That is 20% of the Super League minutes available to him (540 of 2700 across 30 club matches).
Keeper, venue and career
Home and away differ: 0.33 tackles per 90 at home (270 minutes) against 0.67 away (270 minutes), all competitions 2018. Against his career: 0.50 tackles per 90 in 2018 (540 minutes) versus 1.31 across every season on record (7650 minutes).
Form and availability
Impact over the last five matches (newest first): 5.1, 1.6, 2.8, 2.7, 2.2 — broadly level, averaging 2.9 against a season figure of 3.1.
Season 2018 · All Competitions
Started 6 of 6 appearances · 90 minutes per appearance · 20% of the Super League minutes available (540 of 2700).
Against his career: 0.50 tackles per 90 in 2018 (540 minutes) · 1.31 across every season on record (7650 minutes).
Super League only: 6 apps · 3.1 Impact per match in 2018. See the Super League Impact leaderboard.
Gil Stats per 90 · Super League 2018, defender
| Stat | Gil | vs cohort |
|---|---|---|
| Tacklesper 90 | 0.50 | — |
| Interceptionsper 90 | 1.83 | — |
| Blocksper 90 | 0.33 | — |
| Duels wonper 90 | 4.67 | — |
| Duel win rate | 75.7% | — |
| Fouls committedper 90 | 0.33 | — |
| Cardsper 90 | 0.00 | — |
| Passesper 90 | 20.33 | — |
Per 90 minutes over 540 minutes in Super League 2018. League ranks appear once the nightly cohort build has run for this season.
Last 6 Appearances · All Competitions
- 1+ tackle2 of 6
- 2+ tackles1 of 6
- 1+ foul committed2 of 6
- 1+ shot2 of 6
- Booked0 of 6
How often, not how much: the matches where each line happened, out of the matches where it was recorded (2018-03-10 to 2018-11-07, newest first). History, not a forecast — the model’s player projections are on Pro.
Profile Radar · Super League 2018, defender
No cohort has been computed for Super League 2018 yet, so the figures below stand alone.
| Axis | Gil | Median | Pct |
|---|---|---|---|
| Shootingshots p90 | 0.67on target 25.0% | — | — |
| Scoringgoals p90 | 0.17 | — | — |
| Creationkey passes + assists p90 | 0.17 | — | — |
| Passingpasses p90 | 20.33 | — | — |
| Dribblingsuccessful dribbles p90 | 0.00 | — | — |
| Duelsduels won p90 | 4.67win rate 75.7% | — | — |
| Defendingtackles + interceptions + blocks p90 | 2.67 | — | — |
| Disciplinecards + fouls p90 (fewer is better) | 0.33 | — | — |
Where That Sits in the Super League
3.1 per match — 72th percentile of 65 qualifying Super League players (10+ apps), 2018. 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 |
|---|---|---|---|---|---|---|---|
| 2025 | Santos | 9 | 0 | 0 | 2.95 | 0.00 | 2.2 |
| 2023 | Corinthians | 36 | 2 | 3 | 2.23 | 0.16 | 2.8 |
| 2022 | Corinthians | 10 | 0 | 0 | 3.07 | 0.00 | 2.6 |
| 2021 | Corinthians | 8 | 0 | 1 | 1.24 | 0.12 | 2.5 |
| 2020 | Corinthians | 5 | 0 | 0 | 2.54 | 0.39 | 3.3 |
| 2019 | Shandong Luneng | 6 | 0 | 1 | 1.74 | 0.95 | 3.6 |
| 2019 | Corinthians | 2 | 0 | 0 | 2.39 | 0.00 | 2.3 |
| 2018 | Shandong Luneng | 6 | 1 | 0 | 2.33 | 0.17 | 3.1 |
| 2017 | Shandong Luneng | 2 | 0 | 0 | 2.00 | 0.50 | 2.4 |
Game Log · Last 6 Appearances · All Competitions
| Date | Opponent | Min | G | A | Sh | SoT | KP | Tkl | Cards | Rating | Impact | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-11-07 | v Jiangsu Suning | 90 | 1 | 0 | 2 | 1 | 0 | 1 | 0 | 7.2 | 5.1 | |
| 2018-10-05 | v Tianjin Songjiang | 90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.6 | 1.6 | |
| 2018-08-11 | @ Chongqing Lifan | 90 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 7.3 | 2.8 | |
| 2018-07-28 | @ Jiangsu Suning | 90 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7.1 | 2.7 | |
| 2018-05-12 | @ Tianjin Songjiang | 90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.6 | 2.2 | |
| 2018-03-10 | v Chongqing Lifan | 90 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 7.5 | 3.2 |
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 · 2018 · all competitions: Tackles 0.33 at home (270 min), 0.67 away (270 min); Interceptions 2.00 at home (270 min), 1.67 away (270 min).
Impact Trend · Last 6 Matches
2018 is complete — this page is Gil’s record for that season. See Gil’s current season.
Frequently Asked Questions
- How many tackles does Gil average per 90?
- Gil averages 0.50 tackles per 90 minutes in Super League 2018 (540 minutes).
- How many goals and assists did Gil have in 2018?
- In 2018 Gil had 1 goal and 0 assists in 6 appearances (540 minutes played).
- Did Gil start regularly in 2018?
- Gil started 6 of 6 appearances in 2018, averaging 90 minutes per appearance (all competitions).
- What was Gil’s TACTIX Impact in 2018?
- Gil averaged a TACTIX Impact of 3.1 per match across 6 appearances in 2018 in all competitions — an open rating built from raw match actions, with every weight published.
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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.