Retribution — CS2 Stats
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.03 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 78% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Reaction time. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 4.2/10 (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 |
|---|---|---|---|---|---|
 train | A | 18 | 10–8 | 56% | 0.00 |
 inferno | B | 13 | 6–7 | 46% | -0.01 |
 anubis | A | 12 | 7–5 | 58% | -0.02 |
 vertigo | C | 10 | 4–6 | 40% | 0.05 |
| office | C | 9 | 4–5 | 44% | -0.01 |
 ancient | S | 9 | 6–3 | 67% | -0.01 |
 mirage | C | 9 | 4–5 | 44% | -0.03 |
 nuke | C | 7 | 3–4 | 43% | -0.01 |
 dust2 | D | 6 | 2–4 | 33% | -0.02 |
 overpass | — | 2 | 1–1 | 50% | 0.06 |
 cache | — | 1 | 1–0 | 100% | -0.01 |
| basalt | — | 1 | 0–1 | 0% | -0.03 |
| edin | — | 1 | 1–0 | 100% | -0.01 |
| whistle | — | 1 | 0–1 | 0% | -0.04 |
| palais | — | 1 | 0–1 | 0% | -0.12 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLW
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.
- 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 14.3672% — below the 15% mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 25.2248% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% 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 | 9–1 | 0.11 | 17% | 10 Jul → | |
| inferno | 8–8 | -0.09 | 4% | 10 Jul → | |
| train | 7–13 | -0.03 | 18% | 5 Jul → | |
| cache | 13–4 | -0.01 | 9% | 5 Jul → | |
| office | 12–12 | -0.00 | 15% | 15 May → | |
| vertigo | 13–5 | 0.06 | 18% | 15 May → | |
| train | 13–9 | 0.06 | 19% | 15 May → | |
| ancient | 6–13 | 0.01 | 24% | 15 May → | |
| office | 6–13 | -0.00 | 25% | 21 Feb → | |
| anubis | 14–16 | -0.03 | 19% | 20 Feb → | |
| dust2 | 8–13 | 0.01 | 19% | 20 Feb → | |
| office | 13–8 | -0.04 | 7% | 2 Apr → | |
| office | 13–8 | 0.02 | 23% | 19 Mar → | |
| train | 8–13 | -0.01 | 25% | 19 Mar → | |
| office | 13–10 | -0.01 | 9% | 13 Mar → | |
| train | 4–13 | -0.06 | 16% | 7 Mar → | |
| inferno | 4–13 | -0.03 | 4% | 7 Mar → | |
| anubis | 8–13 | 0.01 | 8% | 2 Mar → | |
| mirage | 13–16 | -0.06 | 16% | 2 Mar → | |
| mirage | 3–13 | -0.07 | 3% | 2 Mar → | |
| anubis | 13–11 | -0.07 | 13% | 2 Mar → | |
| ancient | 6–13 | -0.03 | 9% | 13 Feb → | |
| ancient | 9–13 | -0.07 | 4% | 13 Feb → | |
| dust2 | 6–13 | -0.04 | 15% | 13 Feb → | |
| nuke | 13–5 | -0.00 | 16% | 13 Feb → | |
| inferno | 10–13 | -0.04 | 10% | 11 Feb → | |
| anubis | 13–7 | 0.01 | 11% | 11 Feb → | |
| inferno | 16–14 | -0.01 | 6% | 11 Feb → | |
| train | 11–13 | -0.00 | 11% | 10 Feb → | |
| nuke | 9–13 | -0.06 | 18% | 10 Feb → | |
| train | 13–8 | 0.00 | 22% | 7 Feb → | |
| anubis | 13–5 | 0.02 | 21% | 7 Feb → | |
| train | 8–13 | -0.11 | 8% | 5 Feb → | |
| dust2 | 2–13 | -0.04 | 18% | 5 Feb → | |
| ancient | 16–13 | 0.00 | 14% | 5 Feb → | |
| inferno | 13–8 | -0.01 | 22% | 5 Feb → | |
| office | 10–13 | -0.03 | 14% | 31 Jan → | |
| train | 12–12 | 0.07 | 12% | 31 Jan → | |
| nuke | 7–13 | -0.03 | 6% | 25 Jan → | |
| inferno | 10–13 | 0.00 | 17% | 25 Jan → | |
| anubis | 13–4 | 0.00 | 10% | 25 Jan → | |
| vertigo | 11–13 | 0.04 | 10% | 25 Jan → | |
| mirage | 13–10 | -0.02 | 26% | 25 Jan → | |
| office | 12–12 | -0.01 | 12% | 24 Jan → | |
| mirage | 13–3 | -0.01 | 15% | 22 Jan → | |
| anubis | 2–13 | 0.05 | 9% | 17 Jan → | |
| ancient | 13–5 | 0.03 | 13% | 17 Jan → | |
| vertigo | 10–1 | 0.14 | 21% | 17 Jan → | |
| inferno | 10–13 | 0.03 | 20% | 17 Jan → | |
| mirage | 13–11 | -0.05 | 14% | 17 Jan → | |
| nuke | 10–13 | -0.01 | 13% | 17 Jan → | |
| dust2 | 13–5 | 0.01 | 12% | 17 Jan → | |
| vertigo | 13–4 | 0.05 | 26% | 17 Jan → | |
| ancient | 13–4 | 0.00 | 24% | 15 Jan → | |
| anubis | 9–13 | -0.09 | 9% | 15 Jan → | |
| vertigo | 10–13 | 0.10 | 15% | 11 Jan → | |
| train | 13–8 | 0.05 | 12% | 11 Jan → | |
| dust2 | 13–7 | -0.01 | 17% | 11 Jan → | |
| vertigo | 13–3 | 0.08 | 13% | 8 Jan → | |
| inferno | 0–13 | -0.04 | 19% | 5 Jan → | |
| vertigo | 10–13 | 0.04 | 25% | 5 Jan → | |
| train | 13–10 | 0.03 | 14% | 5 Jan → | |
| train | 9–13 | 0.04 | 30% | 4 Jan → | |
| mirage | 16–12 | -0.00 | 22% | 4 Jan → | |
| dust2 | 10–13 | -0.04 | 19% | 27 Dec → | |
| train | 13–3 | -0.00 | 20% | 27 Dec → | |
| anubis | 13–4 | 0.05 | 33% | 23 Dec → | |
| office | 13–8 | 0.01 | 23% | 23 Dec → | |
| inferno | 10–0 | 0.02 | 23% | 22 Dec → | |
| basalt | 12–12 | -0.03 | 14% | 22 Dec → | |
| overpass | 12–12 | -0.02 | 26% | 22 Dec → | |
| edin | 13–6 | -0.01 | 18% | 22 Dec → | |
| train | 13–11 | -0.00 | 11% | 22 Dec → | |
| vertigo | 3–9 | 0.00 | 0% | 17 Dec → | |
| inferno | 8–8 | -0.07 | 17% | 17 Dec → | |
| train | 13–11 | 0.06 | 18% | 14 Dec → | |
| ancient | 13–10 | 0.03 | 14% | 14 Dec → | |
| inferno | 9–6 | 0.01 | 8% | 14 Dec → | |
| whistle | 7–9 | -0.04 | 15% | 14 Dec → | |
| palais | 5–9 | -0.12 | 21% | 14 Dec → | |
| inferno | 13–3 | 0.06 | 17% | 13 Dec → | |
| ancient | 13–10 | -0.03 | 20% | 13 Dec → | |
| vertigo | 3–13 | -0.04 | 8% | 13 Dec → | |
| nuke | 13–6 | -0.04 | 9% | 13 Dec → | |
| anubis | 13–8 | -0.05 | 23% | 13 Dec → | |
| train | 12–12 | -0.04 | 17% | 13 Dec → | |
| train | 13–11 | -0.01 | 25% | 13 Dec → | |
| ancient | 13–7 | -0.01 | 15% | 9 Dec → | |
| train | 13–8 | -0.03 | 22% | 9 Dec → | |
| inferno | 9–4 | 0.09 | 30% | 9 Dec → | |
| mirage | 14–16 | -0.01 | 10% | 9 Dec → | |
| train | 13–7 | 0.01 | 23% | 9 Dec → | |
| nuke | 10–13 | -0.01 | 28% | 27 Oct → | |
| overpass | 13–9 | 0.15 | 19% | 27 Oct → | |
| mirage | 12–12 | -0.00 | 13% | 27 Oct → | |
| vertigo | 7–13 | 0.02 | 17% | 5 Oct → | |
| mirage | 5–13 | -0.06 | 17% | 5 Oct → | |
| anubis | 1–13 | -0.09 | 15% | 5 Oct → | |
| anubis | 13–9 | -0.05 | 11% | 5 Oct → | |
| office | 9–13 | -0.06 | 14% | 2 Oct → |
Match data via Leetify.