fentacai — CS2 Stats
AU76561199030385042[U:1:1070119314]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 37.9% | 42.1% | 42.5% | 4.6% short |
| Shot accuracy | 0.0% | 12.1% | 10.9% | 10.9% short |
| Kill/death ratio | 0.74 | 0.99 | 0.99 | 0.25 short |
| Match win rate | 36.8% | 43.9% | 44.2% | 7.4% short |
This profile sits below the typical Level 4 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Reliable in 1v1s
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match
Plays most like NiKo 68% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Reaction time. 686ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 dust2 | B | 31 | 15–16 | 48% | -0.02 |
 cache | D | 20 | 6–14 | 30% | -0.03 |
 mirage | D | 13 | 4–9 | 31% | -0.01 |
 nuke | C | 8 | 3–5 | 38% | -0.03 |
 inferno | D | 6 | 1–5 | 17% | -0.04 |
 overpass | D | 5 | 1–4 | 20% | -0.05 |
 ancient | — | 4 | 1–3 | 25% | -0.01 |
 anubis | — | 3 | 3–0 | 100% | 0.01 |
 vertigo | — | 3 | 3–0 | 100% | -0.04 |
 train | — | 3 | 2–1 | 67% | -0.00 |
| office | — | 1 | 0–1 | 0% | -0.12 |
| shelter | — | 1 | 0–1 | 0% | -0.07 |
| boulder | — | 1 | 0–1 | 0% | -0.13 |
| warden | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 7 | 43% | 0.71 | 9.9 |
| Ancient | 2 | 50% | 0.81 | 13.0 |
| Dust2 | 2 | 0% | 0.58 | 10.0 |
| Inferno | 1 | 0% | 0.83 | 20.0 |
| Nuke | 1 | 100% | 0.77 | 10.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.8264° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.2496% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–3 | 0.07 | 11% | 16 Aug → | |
| mirage | 5–13 | -0.05 | 9% | 11 Aug → | |
| nuke | 7–13 | -0.10 | 6% | 6 Aug → | |
| ancient | 13–11 | 0.01 | 8% | 6 Aug → | |
| dust2 | 3–13 | -0.04 | 16% | 5 Aug → | |
| ancient | 7–13 | -0.03 | 3% | 5 Aug → | |
| dust2 | 13–4 | 0.07 | 15% | 2 Aug → | |
| dust2 | 3–13 | -0.06 | 2% | 25 Jul → | |
| dust2 | 0–13 | -0.08 | 10% | 25 Jul → | |
| office | 5–13 | -0.12 | 8% | 24 Jul → | |
| nuke | 13–8 | -0.04 | 13% | 24 Jul → | |
| overpass | 5–13 | -0.07 | 12% | 24 Jul → | |
| dust2 | 13–2 | 0.06 | 15% | 15 Jul → | |
| mirage | 11–13 | -0.08 | 13% | 14 Jul → | |
| nuke | 13–7 | 0.07 | 14% | 14 Jul → | |
| shelter | 9–13 | -0.07 | 19% | 9 Jul → | |
| boulder | 7–13 | -0.13 | 13% | 9 Jul → | |
| dust2 | 9–13 | -0.04 | 16% | 4 Jul → | |
| overpass | 9–13 | -0.06 | 8% | 3 Jul → | |
| nuke | 4–13 | -0.08 | 9% | 30 Jun → | |
| cache | 9–13 | 0.00 | 16% | 30 Jun → | |
| dust2 | 6–13 | 0.02 | 9% | 30 Jun → | |
| dust2 | 13–7 | -0.08 | 7% | 30 Jun → | |
| anubis | 13–10 | 0.01 | 24% | 30 Jun → | |
| inferno | 8–13 | -0.04 | 6% | 30 Jun → | |
| mirage | 15–15 | -0.04 | 14% | 30 Jun → | |
| dust2 | 13–9 | -0.01 | 16% | 29 Jun → | |
| dust2 | 6–13 | -0.06 | 10% | 29 Jun → | |
| mirage | 13–10 | 0.06 | 9% | 29 Jun → | |
| cache | 3–10 | -0.07 | 0% | 29 Jun → | |
| dust2 | 6–13 | -0.03 | 6% | 29 Jun → | |
| mirage | 1–13 | -0.09 | 0% | 29 Jun → | |
| cache | 7–13 | -0.04 | 12% | 29 Jun → | |
| cache | 9–13 | -0.01 | 17% | 25 Jun → | |
| dust2 | 13–10 | -0.02 | 13% | 25 Jun → | |
| cache | 13–4 | -0.02 | 22% | 20 Jun → | |
| cache | 13–6 | -0.02 | 17% | 20 Jun → | |
| dust2 | 5–13 | -0.05 | 10% | 20 Jun → | |
| cache | 4–13 | -0.06 | 17% | 20 Jun → | |
| cache | 13–4 | 0.03 | 16% | 20 Jun → | |
| overpass | 5–13 | -0.08 | 8% | 20 Jun → | |
| cache | 11–13 | 0.04 | 17% | 19 Jun → | |
| dust2 | 13–11 | -0.09 | 10% | 19 Jun → | |
| cache | 7–13 | -0.08 | 13% | 13 Jun → | |
| cache | 13–10 | -0.08 | 19% | 7 Jun → | |
| cache | 3–13 | -0.01 | 25% | 7 Jun → | |
| dust2 | 13–6 | -0.06 | 27% | 7 Jun → | |
| mirage | 2–13 | -0.07 | 20% | 5 Jun → | |
| cache | 9–13 | -0.06 | 14% | 25 May → | |
| cache | 9–13 | -0.01 | 19% | 25 May → | |
| cache | 10–13 | -0.04 | 16% | 25 May → | |
| cache | 13–7 | -0.00 | 6% | 13 May → | |
| cache | 13–4 | -0.02 | 17% | 13 May → | |
| cache | 4–13 | -0.12 | 5% | 13 May → | |
| cache | 4–13 | -0.05 | 30% | 13 May → | |
| cache | 9–13 | 0.02 | 18% | 13 May → | |
| vertigo | 13–11 | -0.07 | 23% | 10 Apr → | |
| vertigo | 13–11 | -0.06 | 22% | 10 Apr → | |
| overpass | 14–16 | -0.03 | 20% | 9 Apr → | |
| vertigo | 13–8 | 0.00 | 26% | 7 Apr → | |
| train | 13–3 | 0.08 | 29% | 7 Apr → | |
| dust2 | 11–13 | -0.01 | 17% | 19 Mar → | |
| dust2 | 3–13 | -0.03 | 8% | 17 Mar → | |
| dust2 | 10–13 | 0.01 | 20% | 10 Mar → | |
| dust2 | 4–13 | 0.02 | 11% | 27 Feb → | |
| train | 6–13 | -0.04 | 19% | 27 Feb → | |
| dust2 | 13–8 | -0.02 | 16% | 23 Feb → | |
| mirage | 13–11 | 0.01 | 31% | 23 Feb → | |
| anubis | 16–13 | -0.02 | 20% | 19 Feb → | |
| nuke | 1–13 | -0.07 | 17% | 17 Feb → | |
| dust2 | 13–6 | -0.03 | 31% | 8 Feb → | |
| ancient | 4–13 | -0.01 | 8% | 8 Feb → | |
| dust2 | 13–6 | 0.02 | 24% | 8 Feb → | |
| inferno | 6–13 | -0.08 | 10% | 8 Feb → | |
| inferno | 8–13 | -0.01 | 17% | 8 Feb → | |
| dust2 | 2–13 | -0.08 | 14% | 8 Feb → | |
| mirage | 13–9 | 0.06 | 11% | 5 Feb → | |
| anubis | 13–11 | 0.04 | 23% | 5 Feb → | |
| inferno | 4–13 | -0.03 | 9% | 5 Feb → | |
| mirage | 2–13 | -0.08 | 13% | 5 Feb → | |
| dust2 | 8–13 | -0.10 | 11% | 5 Feb → | |
| warden | 12–12 | -0.03 | 8% | 30 Jan → | |
| train | 13–10 | -0.05 | 13% | 18 Jan → | |
| mirage | 11–13 | 0.08 | 13% | 18 Jan → | |
| mirage | 13–1 | 0.15 | 9% | 18 Jan → | |
| mirage | 5–13 | -0.07 | 3% | 18 Jan → | |
| overpass | 13–1 | -0.01 | 16% | 18 Jan → | |
| ancient | 11–13 | 0.01 | 12% | 24 Dec → | |
| dust2 | 13–7 | -0.04 | 19% | 24 Dec → | |
| inferno | 12–12 | -0.05 | 15% | 19 Dec → | |
| dust2 | 13–6 | 0.04 | 14% | 19 Dec → | |
| inferno | 13–5 | -0.05 | 9% | 16 Dec → | |
| nuke | 7–13 | -0.01 | 23% | 16 Dec → | |
| mirage | 9–13 | -0.06 | 7% | 15 Dec → | |
| dust2 | 13–5 | 0.05 | 21% | 14 Dec → | |
| nuke | 9–13 | -0.07 | 5% | 16 Oct → | |
| dust2 | 4–13 | -0.06 | 4% | 16 Oct → | |
| dust2 | 9–3 | -0.01 | 6% | 16 Oct → | |
| dust2 | 13–10 | 0.04 | 11% | 11 Oct → | |
| dust2 | 11–13 | -0.06 | 8% | 6 Oct → |
Match data via Leetify.
