AL1VE — CS2 Stats
76561198047702975[U:1:87437247]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 10 median |
|---|---|---|
| Headshot rate | 43.0% | 51.9% |
| Shot accuracy | 18.9% | 13.7% |
| Kill/death ratio | 0.89 | 1.08 |
| Match win rate | 47.1% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 donk 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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
Counter-strafing. Only 60% 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 5.1/10 (Developing), 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 |
|---|---|---|---|---|---|
 nuke | B | 20 | 9–11 | 45% | 0.02 |
 train | B | 19 | 10–9 | 53% | 0.01 |
 mirage | D | 18 | 6–12 | 33% | 0.00 |
 dust2 | C | 13 | 5–8 | 38% | -0.01 |
 inferno | D | 10 | 3–7 | 30% | 0.01 |
 cache | B | 6 | 3–3 | 50% | 0.03 |
 ancient | A | 5 | 3–2 | 60% | -0.02 |
 anubis | — | 4 | 2–2 | 50% | 0.00 |
 overpass | — | 4 | 2–2 | 50% | -0.00 |
 vertigo | — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (30% over 10). 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 190 | 44% | 1.02 | 15.1 |
| Dust2 | 108 | 51% | 0.92 | 14.4 |
| Nuke | 103 | 57% | 1.14 | 16.1 |
| Anubis | 86 | 52% | 1.03 | 15.0 |
| Ancient | 63 | 44% | 0.89 | 14.3 |
| Inferno | 61 | 56% | 0.95 | 15.3 |
| Vertigo | 40 | 62% | 1.04 | 15.1 |
| Overpass | 40 | 68% | 1.10 | 15.9 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 5–13 | -0.04 | 42% | 29 Aug → | |
| dust2 | 5–13 | -0.01 | 14% | 25 Aug → | |
| nuke | 14–16 | 0.02 | 22% | 22 Aug → | |
| cache | 8–13 | -0.02 | 19% | 14 Aug → | |
| dust2 | 6–13 | 0.02 | 53% | 9 Aug → | |
| mirage | 9–13 | 0.02 | 11% | 6 Aug → | |
| mirage | 5–13 | -0.07 | 14% | 5 Jul → | |
| dust2 | 13–11 | 0.01 | 23% | 30 Jun → | |
| dust2 | 13–11 | 0.03 | 25% | 26 Jun → | |
| mirage | 14–16 | -0.01 | 10% | 22 Jun → | |
| mirage | 13–9 | 0.02 | 12% | 20 Jun → | |
| inferno | 8–13 | -0.01 | 19% | 12 Jun → | |
| mirage | 11–13 | 0.00 | 25% | 22 May → | |
| inferno | 10–13 | 0.00 | 27% | 18 May → | |
| cache | 10–13 | 0.04 | 48% | 16 May → | |
| dust2 | 13–1 | -0.03 | 33% | 16 May → | |
| ancient | 13–7 | 0.03 | 24% | 16 May → | |
| mirage | 13–4 | 0.01 | 15% | 16 May → | |
| cache | 16–13 | 0.05 | 21% | 13 May → | |
| mirage | 10–13 | 0.02 | 25% | 11 May → | |
| inferno | 11–13 | 0.06 | 19% | 10 May → | |
| anubis | 10–13 | 0.02 | 14% | 9 May → | |
| cache | 10–13 | 0.04 | 17% | 1 May → | |
| cache | 13–7 | 0.10 | 25% | 1 May → | |
| cache | 13–10 | -0.03 | 28% | 30 Apr → | |
| nuke | 13–7 | -0.01 | 43% | 4 Apr → | |
| inferno | 13–4 | 0.05 | 18% | 4 Apr → | |
| nuke | 13–6 | 0.03 | 18% | 26 Mar → | |
| nuke | 9–13 | 0.05 | 18% | 2 Mar → | |
| inferno | 15–15 | -0.01 | 18% | 28 Feb → | |
| nuke | 13–5 | 0.02 | 15% | 28 Feb → | |
| mirage | 13–2 | 0.08 | 20% | 28 Feb → | |
| overpass | 8–13 | -0.02 | 24% | 1 Jan → | |
| overpass | 4–13 | -0.02 | 17% | 21 Dec → | |
| nuke | 10–13 | 0.02 | 26% | 2 Oct → | |
| nuke | 10–13 | 0.05 | 22% | 25 Sept → | |
| inferno | 5–13 | -0.02 | 18% | 23 Sept → | |
| inferno | 8–13 | -0.05 | 9% | 13 Sept → | |
| dust2 | 6–13 | -0.01 | 21% | 18 Aug → | |
| overpass | 13–6 | 0.04 | 28% | 25 Jul → | |
| nuke | 13–11 | 0.00 | 18% | 23 Jul → | |
| dust2 | 13–9 | -0.00 | 15% | 21 Jul → | |
| inferno | 13–7 | 0.01 | 21% | 20 Jul → | |
| dust2 | 7–13 | -0.06 | 14% | 20 May → | |
| ancient | 13–9 | 0.02 | 21% | 28 Apr → | |
| nuke | 10–13 | 0.01 | 26% | 27 Apr → | |
| train | 9–13 | 0.04 | 40% | 11 Apr → | |
| mirage | 5–13 | -0.01 | 7% | 5 Apr → | |
| mirage | 7–13 | -0.02 | 22% | 31 Mar → | |
| nuke | 13–8 | -0.01 | 19% | 24 Mar → | |
| dust2 | 8–13 | -0.01 | 23% | 18 Mar → | |
| mirage | 11–13 | -0.01 | 5% | 1 Mar → | |
| mirage | 7–13 | -0.04 | 40% | 27 Feb → | |
| nuke | 7–13 | -0.04 | 41% | 27 Feb → | |
| train | 11–13 | 0.09 | 27% | 27 Feb → | |
| ancient | 11–13 | -0.05 | 16% | 22 Feb → | |
| nuke | 8–13 | -0.02 | 32% | 22 Feb → | |
| mirage | 13–2 | 0.02 | 25% | 22 Feb → | |
| anubis | 13–10 | -0.01 | 13% | 19 Feb → | |
| nuke | 16–19 | 0.02 | 15% | 11 Feb → | |
| nuke | 13–5 | 0.08 | 17% | 28 Dec → | |
| train | 13–6 | -0.01 | 16% | 17 Dec → | |
| train | 13–3 | 0.02 | 25% | 17 Dec → | |
| train | 5–13 | -0.06 | 15% | 27 Nov → | |
| train | 10–13 | -0.06 | 30% | 27 Nov → | |
| train | 8–13 | 0.02 | 21% | 25 Nov → | |
| train | 12–12 | -0.02 | 11% | 25 Nov → | |
| train | 12–12 | -0.02 | 19% | 20 Nov → | |
| train | 13–8 | 0.04 | 17% | 20 Nov → | |
| train | 8–13 | 0.02 | 18% | 20 Nov → | |
| train | 13–3 | 0.03 | 28% | 19 Nov → | |
| train | 13–7 | 0.03 | 19% | 19 Nov → | |
| train | 4–13 | -0.05 | 16% | 19 Nov → | |
| train | 13–8 | 0.07 | 11% | 17 Nov → | |
| train | 13–9 | -0.06 | 32% | 17 Nov → | |
| train | 13–11 | -0.04 | 30% | 17 Nov → | |
| train | 12–0 | 0.10 | 25% | 17 Nov → | |
| train | 13–9 | -0.04 | 20% | 17 Nov → | |
| inferno | 12–12 | 0.02 | 13% | 24 Oct → | |
| mirage | 11–13 | 0.00 | 18% | 24 Oct → | |
| dust2 | 9–13 | 0.02 | 23% | 24 Oct → | |
| mirage | 13–7 | 0.02 | 29% | 14 Oct → | |
| dust2 | 13–5 | -0.00 | 38% | 14 Oct → | |
| mirage | 10–13 | 0.03 | 23% | 14 Oct → | |
| overpass | 13–5 | -0.00 | 39% | 7 Oct → | |
| nuke | 13–3 | 0.12 | 23% | 7 Oct → | |
| nuke | 17–19 | -0.01 | 15% | 20 Sept → | |
| inferno | 13–5 | 0.03 | 27% | 3 Sept → | |
| anubis | 13–9 | 0.04 | 17% | 30 Aug → | |
| anubis | 6–13 | -0.05 | 24% | 29 Aug → | |
| nuke | 3–13 | -0.05 | 12% | 23 Aug → | |
| nuke | 13–4 | 0.07 | 19% | 11 Aug → | |
| vertigo | 13–8 | -0.02 | 14% | 7 Jul → | |
| ancient | 7–13 | -0.10 | 11% | 16 Jun → | |
| ancient | 19–15 | -0.01 | 18% | 15 Jun → | |
| mirage | 8–13 | -0.05 | 17% | 6 Jun → | |
| dust2 | 4–13 | -0.02 | 23% | 15 May → | |
| mirage | 13–7 | 0.02 | 18% | 6 May → | |
| nuke | 13–10 | 0.03 | 18% | 5 May → | |
| nuke | 7–13 | -0.05 | 3% | 7 Apr → |
Match data via Leetify.