CaThY — CS2 Stats
76561198108766861[U:1:148501133]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
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 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. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 58% 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 2.8/10 (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 99 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 | C | 25 | 10–15 | 40% | -0.06 |
 mirage | A | 16 | 10–6 | 63% | -0.07 |
 train | B | 10 | 5–5 | 50% | -0.05 |
 inferno | D | 10 | 3–7 | 30% | -0.05 |
 ancient | D | 9 | 3–6 | 33% | -0.07 |
 nuke | C | 7 | 3–4 | 43% | -0.07 |
| grail | S | 6 | 5–1 | 83% | -0.03 |
| agency | — | 4 | 3–1 | 75% | -0.06 |
| office | — | 4 | 2–2 | 50% | -0.05 |
 anubis | — | 3 | 1–2 | 33% | -0.06 |
 vertigo | — | 3 | 1–2 | 33% | -0.05 |
| jura | — | 2 | 2–0 | 100% | -0.03 |
Across the last 99 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.
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 13.6478° — 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 12.6026% — 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.
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 | |
|---|---|---|---|---|---|
| agency | 9–13 | -0.12 | 17% | 17 Sept → | |
| nuke | 2–13 | -0.16 | 0% | 17 Sept → | |
| grail | 9–13 | -0.06 | 22% | 17 Sept → | |
| train | 9–8 | -0.05 | 10% | 17 Sept → | |
| mirage | 13–7 | -0.07 | 8% | 17 Sept → | |
| train | 7–13 | -0.09 | 7% | 17 Sept → | |
| dust2 | 2–13 | -0.05 | 17% | 17 Sept → | |
| dust2 | 13–7 | -0.07 | 23% | 4 Jul → | |
| grail | 13–7 | -0.02 | 5% | 3 Jul → | |
| office | 13–7 | -0.04 | 9% | 1 Jul → | |
| dust2 | 13–6 | -0.07 | 23% | 1 Jul → | |
| train | 13–5 | -0.03 | 5% | 1 Jul → | |
| nuke | 13–6 | -0.05 | 9% | 27 Jun → | |
| anubis | 10–13 | -0.05 | 8% | 26 Jun → | |
| anubis | 13–9 | -0.06 | 5% | 26 Jun → | |
| dust2 | 12–16 | -0.05 | 9% | 24 Jun → | |
| train | 13–11 | -0.04 | 5% | 23 Jun → | |
| dust2 | 6–13 | -0.07 | 22% | 23 Jun → | |
| office | 12–12 | -0.04 | 24% | 22 Jun → | |
| mirage | 13–7 | -0.08 | 18% | 22 Jun → | |
| dust2 | 3–13 | -0.06 | 15% | 22 Jun → | |
| ancient | 13–8 | -0.06 | 33% | 19 Jun → | |
| dust2 | 13–9 | -0.05 | 18% | 19 Jun → | |
| inferno | 9–13 | 0.01 | 10% | 16 Jun → | |
| ancient | 10–13 | -0.04 | 9% | 16 Jun → | |
| mirage | 13–7 | -0.03 | 18% | 16 Jun → | |
| mirage | 13–8 | -0.08 | 6% | 16 Jun → | |
| inferno | 13–6 | -0.04 | 7% | 12 Jun → | |
| mirage | 12–12 | -0.06 | 7% | 11 Jun → | |
| agency | 13–10 | -0.03 | 9% | 11 Jun → | |
| agency | 13–0 | -0.03 | 14% | 11 Jun → | |
| inferno | 9–13 | -0.02 | 9% | 9 Jun → | |
| dust2 | 12–12 | -0.07 | 19% | 9 Jun → | |
| dust2 | 13–8 | -0.04 | 18% | 9 Jun → | |
| ancient | 11–13 | -0.05 | 16% | 9 Jun → | |
| inferno | 2–13 | -0.09 | 0% | 5 Jun → | |
| vertigo | 12–12 | -0.08 | 25% | 4 Jun → | |
| dust2 | 0–4 | -0.06 | 0% | 4 Jun → | |
| jura | 13–11 | -0.02 | 10% | 4 Jun → | |
| jura | 13–5 | -0.05 | 17% | 4 Jun → | |
| mirage | 13–8 | -0.07 | 9% | 2 Jun → | |
| office | 13–5 | -0.05 | 7% | 2 Jun → | |
| mirage | 13–0 | 0.09 | 9% | 30 May → | |
| train | 13–8 | -0.08 | 3% | 29 May → | |
| dust2 | 13–11 | -0.06 | 4% | 29 May → | |
| inferno | 7–13 | -0.07 | 12% | 29 May → | |
| mirage | 13–1 | -0.00 | 13% | 29 May → | |
| nuke | 5–13 | -0.09 | 9% | 29 May → | |
| mirage | 13–7 | -0.02 | 9% | 29 May → | |
| train | 12–12 | -0.01 | 11% | 28 May → | |
| mirage | 13–7 | -0.06 | 3% | 28 May → | |
| dust2 | 4–13 | -0.04 | 17% | 28 May → | |
| grail | 13–1 | 0.07 | 0% | 26 May → | |
| inferno | 6–13 | -0.09 | 28% | 26 May → | |
| dust2 | 4–13 | -0.05 | 9% | 26 May → | |
| anubis | 11–13 | -0.08 | 14% | 25 May → | |
| grail | 13–7 | -0.07 | 11% | 25 May → | |
| train | 8–13 | -0.03 | 18% | 18 May → | |
| grail | 13–6 | -0.03 | 6% | 12 May → | |
| grail | 13–3 | -0.06 | 9% | 12 May → | |
| mirage | 5–13 | -0.09 | 11% | 1 May → | |
| inferno | 10–13 | -0.01 | 12% | 5 Apr → | |
| train | 8–13 | -0.08 | 17% | 24 Mar → | |
| dust2 | 8–13 | -0.03 | 18% | 24 Mar → | |
| mirage | 10–13 | -0.11 | 13% | 19 Mar → | |
| ancient | 3–13 | -0.10 | 13% | 19 Mar → | |
| train | 13–5 | 0.00 | 13% | 10 Mar → | |
| dust2 | 13–7 | -0.07 | 14% | 9 Mar → | |
| nuke | 7–13 | -0.08 | 7% | 8 Mar → | |
| dust2 | 6–13 | -0.07 | 4% | 22 Jan → | |
| dust2 | 13–5 | -0.04 | 16% | 22 Jan → | |
| inferno | 13–3 | -0.02 | 12% | 19 Jan → | |
| dust2 | 12–12 | -0.09 | 19% | 5 Dec → | |
| train | 12–12 | -0.07 | 16% | 1 Dec → | |
| dust2 | 13–2 | -0.06 | 4% | 1 Dec → | |
| inferno | 5–13 | -0.06 | 14% | 29 Nov → | |
| mirage | 4–13 | -0.14 | 5% | 29 Nov → | |
| nuke | 4–13 | -0.04 | 8% | 25 Nov → | |
| vertigo | 13–3 | -0.01 | 18% | 25 Nov → | |
| dust2 | 2–7 | -0.07 | 10% | 25 Nov → | |
| ancient | 6–13 | -0.08 | 27% | 25 Nov → | |
| office | 6–13 | -0.06 | 17% | 14 Nov → | |
| ancient | 7–13 | -0.06 | 15% | 14 Nov → | |
| inferno | 13–10 | -0.09 | 22% | 10 Nov → | |
| dust2 | 13–8 | -0.12 | 6% | 9 Nov → | |
| nuke | 13–8 | -0.00 | 8% | 28 Oct → | |
| ancient | 5–13 | -0.11 | 9% | 20 Oct → | |
| nuke | 13–10 | -0.10 | 4% | 20 Oct → | |
| dust2 | 13–4 | -0.03 | 8% | 20 Oct → | |
| ancient | 13–7 | -0.05 | 11% | 20 Oct → | |
| mirage | 9–13 | -0.07 | 10% | 20 Oct → | |
| ancient | 13–5 | -0.04 | 8% | 20 Oct → | |
| vertigo | 2–13 | -0.07 | 33% | 4 Oct → | |
| mirage | 13–8 | -0.13 | 7% | 4 Oct → | |
| dust2 | 1–9 | -0.04 | 0% | 29 Sept → | |
| dust2 | 2–9 | -0.13 | 0% | 29 Sept → | |
| mirage | 0–9 | -0.21 | 0% | 19 Sept → | |
| dust2 | 3–9 | -0.05 | 33% | 18 Sept → | |
| agency | 16–3 | -0.06 | 13% | 15 Sept → |
Match data via Leetify.