stew — CS2 Stats
76561198243813670[U:1:283547942]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.00 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 75% 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
Reaction time. 742ms 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 3.5/10 (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 | C | 46 | 18–28 | 39% | -0.02 |
 mirage | B | 23 | 11–12 | 48% | -0.02 |
 inferno | B | 16 | 8–8 | 50% | -0.03 |
 train | D | 7 | 1–6 | 14% | -0.02 |
 nuke | — | 4 | 0–4 | 0% | -0.04 |
 cache | — | 1 | 1–0 | 100% | 0.06 |
 anubis | — | 1 | 0–1 | 0% | -0.07 |
| office | — | 1 | 0–1 | 0% | 0.01 |
 ancient | — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
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 12.9861% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 742.3731ms — above the 700ms 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 25.0424% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–11 | -0.04 | 10% | 9 Aug → | |
| mirage | 3–13 | -0.08 | 14% | 7 Aug → | |
| mirage | 5–13 | -0.02 | 23% | 7 Aug → | |
| mirage | 1–13 | -0.04 | 12% | 7 Aug → | |
| dust2 | 4–13 | -0.07 | 8% | 20 Jul → | |
| dust2 | 6–13 | 0.01 | 19% | 20 Jul → | |
| mirage | 12–12 | 0.02 | 11% | 10 Jul → | |
| dust2 | 13–3 | 0.02 | 21% | 10 Jul → | |
| dust2 | 11–13 | -0.04 | 2% | 6 Jul → | |
| dust2 | 6–13 | 0.02 | 18% | 5 Jul → | |
| dust2 | 13–10 | 0.01 | 19% | 5 Jul → | |
| dust2 | 10–13 | -0.05 | 8% | 14 Jun → | |
| dust2 | 7–13 | -0.08 | 15% | 14 Jun → | |
| nuke | 10–13 | -0.07 | 11% | 14 Jun → | |
| dust2 | 13–9 | -0.02 | 14% | 13 Jun → | |
| mirage | 12–12 | -0.03 | 21% | 13 Jun → | |
| dust2 | 9–13 | -0.02 | 10% | 18 May → | |
| nuke | 3–13 | -0.07 | 9% | 18 May → | |
| dust2 | 13–0 | 0.03 | 18% | 18 May → | |
| cache | 13–9 | 0.06 | 17% | 6 May → | |
| inferno | 13–7 | -0.08 | 17% | 15 Mar → | |
| dust2 | 13–4 | 0.10 | 10% | 15 Mar → | |
| mirage | 7–13 | 0.01 | 7% | 15 Mar → | |
| mirage | 13–3 | -0.04 | 6% | 10 Mar → | |
| inferno | 13–9 | 0.12 | 20% | 10 Mar → | |
| dust2 | 1–13 | -0.05 | 19% | 15 Feb → | |
| dust2 | 10–13 | 0.02 | 14% | 15 Feb → | |
| mirage | 13–9 | -0.06 | 2% | 15 Feb → | |
| mirage | 13–5 | -0.01 | 8% | 8 Feb → | |
| dust2 | 3–13 | -0.11 | 11% | 7 Feb → | |
| dust2 | 13–11 | -0.03 | 7% | 4 Jan → | |
| mirage | 15–15 | -0.00 | 10% | 4 Jan → | |
| inferno | 13–8 | -0.00 | 24% | 4 Jan → | |
| dust2 | 8–13 | -0.04 | 10% | 30 Dec → | |
| inferno | 0–7 | -0.00 | 13% | 30 Dec → | |
| mirage | 13–10 | -0.02 | 10% | 30 Dec → | |
| dust2 | 10–13 | 0.03 | 17% | 30 Dec → | |
| dust2 | 13–7 | 0.02 | 2% | 11 Dec → | |
| mirage | 13–7 | 0.03 | 7% | 24 Nov → | |
| inferno | 13–8 | -0.02 | 19% | 12 Nov → | |
| dust2 | 6–13 | -0.08 | 21% | 12 Nov → | |
| inferno | 13–4 | 0.09 | 21% | 29 Oct → | |
| dust2 | 10–13 | -0.01 | 18% | 29 Oct → | |
| dust2 | 13–9 | -0.01 | 6% | 29 Oct → | |
| dust2 | 13–5 | 0.01 | 17% | 18 Oct → | |
| inferno | 10–13 | -0.03 | 16% | 18 Oct → | |
| dust2 | 13–6 | -0.06 | 11% | 18 Oct → | |
| dust2 | 13–10 | -0.02 | 10% | 12 Oct → | |
| inferno | 4–13 | -0.02 | 10% | 12 Oct → | |
| dust2 | 11–13 | 0.02 | 14% | 11 Oct → | |
| train | 5–13 | -0.01 | 22% | 8 Sept → | |
| dust2 | 4–13 | -0.02 | 12% | 8 Sept → | |
| dust2 | 13–11 | -0.03 | 22% | 2 Aug → | |
| dust2 | 10–13 | -0.01 | 14% | 2 Aug → | |
| inferno | 8–13 | -0.04 | 21% | 2 Aug → | |
| mirage | 4–13 | -0.05 | 3% | 2 Aug → | |
| train | 7–13 | -0.03 | 15% | 2 Aug → | |
| mirage | 0–10 | -0.06 | 25% | 12 Jun → | |
| dust2 | 8–13 | -0.05 | 4% | 7 Jun → | |
| inferno | 10–3 | -0.07 | 0% | 7 Jun → | |
| mirage | 13–8 | 0.01 | 11% | 6 Jun → | |
| inferno | 10–13 | -0.09 | 7% | 6 Jun → | |
| anubis | 11–13 | -0.07 | 10% | 2 May → | |
| train | 13–10 | 0.02 | 0% | 2 May → | |
| dust2 | 4–13 | 0.02 | 6% | 2 May → | |
| mirage | 8–13 | 0.04 | 9% | 2 May → | |
| inferno | 7–13 | -0.11 | 7% | 27 Apr → | |
| dust2 | 13–11 | -0.01 | 16% | 25 Apr → | |
| mirage | 4–13 | -0.06 | 13% | 31 Mar → | |
| train | 12–12 | -0.03 | 16% | 31 Mar → | |
| inferno | 8–13 | -0.02 | 22% | 31 Mar → | |
| dust2 | 5–13 | -0.05 | 3% | 31 Mar → | |
| dust2 | 11–13 | -0.03 | 10% | 31 Mar → | |
| dust2 | 11–13 | -0.01 | 27% | 31 Mar → | |
| office | 5–13 | 0.01 | 9% | 30 Mar → | |
| dust2 | 13–8 | 0.02 | 11% | 30 Mar → | |
| ancient | 6–13 | -0.10 | 25% | 30 Mar → | |
| train | 10–13 | -0.04 | 4% | 23 Mar → | |
| mirage | 13–11 | 0.03 | 19% | 23 Mar → | |
| inferno | 13–10 | -0.08 | 12% | 23 Mar → | |
| nuke | 5–13 | -0.00 | 17% | 23 Mar → | |
| dust2 | 13–4 | -0.02 | 6% | 22 Mar → | |
| dust2 | 13–11 | 0.05 | 13% | 16 Mar → | |
| nuke | 11–13 | -0.01 | 11% | 16 Mar → | |
| mirage | 7–13 | 0.01 | 17% | 15 Mar → | |
| mirage | 5–2 | -0.05 | 20% | 15 Mar → | |
| dust2 | 2–13 | -0.10 | 13% | 9 Mar → | |
| mirage | 13–11 | -0.05 | 10% | 14 Feb → | |
| inferno | 2–13 | -0.05 | 6% | 14 Feb → | |
| dust2 | 13–9 | -0.03 | 13% | 9 Feb → | |
| dust2 | 6–13 | -0.10 | 4% | 9 Feb → | |
| mirage | 13–8 | -0.02 | 11% | 9 Feb → | |
| dust2 | 3–13 | -0.02 | 10% | 2 Feb → | |
| train | 11–13 | -0.01 | 6% | 26 Jan → | |
| train | 11–13 | -0.05 | 10% | 26 Jan → | |
| dust2 | 7–13 | -0.00 | 8% | 26 Jan → | |
| inferno | 13–2 | -0.03 | 14% | 24 Jan → | |
| dust2 | 12–12 | -0.04 | 5% | 24 Jan → | |
| mirage | 13–9 | 0.06 | 13% | 11 Jan → | |
| dust2 | 7–13 | 0.01 | 15% | 11 Jan → |
Match data via Leetify.
