Bimpter — CS2 Stats
76561198091681228[U:1:131415500]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.03 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 79% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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. 704ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 66% 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 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 93 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 |
|---|---|---|---|---|---|
| office | B | 16 | 8–8 | 50% | -0.02 |
 dust2 | A | 14 | 8–6 | 57% | -0.01 |
 mirage | C | 10 | 4–6 | 40% | -0.03 |
 nuke | B | 10 | 5–5 | 50% | 0.01 |
 inferno | A | 10 | 6–4 | 60% | -0.00 |
 train | A | 7 | 4–3 | 57% | -0.01 |
 anubis | C | 5 | 2–3 | 40% | -0.01 |
 overpass | C | 5 | 2–3 | 40% | 0.02 |
 ancient | D | 5 | 0–5 | 0% | -0.03 |
| italy | — | 3 | 2–1 | 67% | 0.01 |
 vertigo | — | 3 | 2–1 | 67% | -0.01 |
 cache | — | 2 | 1–1 | 50% | -0.00 |
| alpine | — | 1 | 1–0 | 100% | 0.09 |
| palacio | — | 1 | 1–0 | 100% | -0.02 |
| golden | — | 1 | 0–1 | 0% | -0.04 |
Across the last 93 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
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 12.6404% — 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 704.1652ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4688 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 10–13 | -0.05 | 7% | 22 May → | |
| dust2 | 13–4 | -0.01 | 13% | 22 May → | |
| nuke | 13–4 | -0.00 | 16% | 22 May → | |
| cache | 12–12 | -0.04 | 8% | 2 May → | |
| cache | 13–3 | 0.03 | 8% | 2 May → | |
| italy | 9–13 | -0.07 | 7% | 27 Mar → | |
| office | 13–8 | 0.06 | 11% | 27 Mar → | |
| nuke | 9–13 | 0.02 | 8% | 27 Mar → | |
| anubis | 13–11 | 0.02 | 6% | 27 Mar → | |
| dust2 | 7–13 | -0.03 | 20% | 27 Mar → | |
| train | 13–3 | 0.03 | 27% | 27 Mar → | |
| dust2 | 13–3 | 0.06 | 19% | 18 Mar → | |
| office | 13–7 | 0.01 | 15% | 12 Mar → | |
| mirage | 3–13 | -0.06 | 14% | 12 Mar → | |
| overpass | 13–6 | 0.00 | 11% | 12 Mar → | |
| overpass | 13–1 | 0.14 | 15% | 12 Mar → | |
| office | 13–6 | 0.08 | 9% | 20 Feb → | |
| inferno | 13–8 | 0.04 | 7% | 20 Feb → | |
| office | 9–13 | -0.10 | 9% | 19 Feb → | |
| italy | 13–1 | 0.04 | 13% | 19 Feb → | |
| office | 13–11 | -0.02 | 11% | 19 Feb → | |
| dust2 | 6–13 | 0.01 | 15% | 19 Feb → | |
| ancient | 5–13 | -0.05 | 15% | 13 Feb → | |
| vertigo | 13–5 | -0.03 | 14% | 12 Feb → | |
| vertigo | 13–7 | 0.00 | 14% | 12 Feb → | |
| office | 3–13 | -0.04 | 17% | 12 Feb → | |
| nuke | 7–13 | -0.01 | 13% | 12 Feb → | |
| nuke | 13–6 | 0.03 | 19% | 12 Feb → | |
| mirage | 5–13 | -0.05 | 24% | 8 Feb → | |
| dust2 | 13–7 | -0.04 | 9% | 8 Feb → | |
| anubis | 7–13 | -0.01 | 9% | 6 Feb → | |
| ancient | 7–13 | 0.00 | 16% | 6 Feb → | |
| dust2 | 13–8 | -0.01 | 15% | 6 Feb → | |
| inferno | 13–11 | -0.03 | 22% | 6 Feb → | |
| dust2 | 10–13 | -0.08 | 11% | 6 Feb → | |
| dust2 | 13–11 | 0.04 | 27% | 6 Feb → | |
| inferno | 10–13 | -0.03 | 14% | 6 Feb → | |
| overpass | 3–13 | -0.04 | 12% | 31 Jan → | |
| office | 13–5 | 0.03 | 6% | 31 Jan → | |
| nuke | 13–8 | 0.01 | 16% | 31 Jan → | |
| train | 12–12 | -0.03 | 7% | 31 Jan → | |
| italy | 7–2 | 0.06 | 10% | 31 Jan → | |
| overpass | 9–13 | -0.01 | 6% | 31 Jan → | |
| anubis | 10–13 | -0.03 | 10% | 31 Jan → | |
| inferno | 11–13 | -0.01 | 17% | 31 Jan → | |
| dust2 | 3–13 | -0.05 | 0% | 31 Jan → | |
| office | 6–13 | -0.02 | 9% | 30 Jan → | |
| mirage | 13–8 | 0.00 | 10% | 30 Jan → | |
| vertigo | 4–13 | -0.01 | 20% | 30 Jan → | |
| ancient | 10–13 | -0.01 | 7% | 30 Jan → | |
| office | 6–13 | -0.07 | 11% | 24 Jan → | |
| office | 13–3 | 0.04 | 7% | 24 Jan → | |
| ancient | 7–13 | -0.09 | 13% | 24 Jan → | |
| alpine | 13–0 | 0.09 | 10% | 24 Jan → | |
| inferno | 13–10 | 0.05 | 16% | 24 Jan → | |
| mirage | 13–6 | 0.07 | 9% | 22 Jan → | |
| anubis | 12–12 | -0.04 | 13% | 22 Jan → | |
| overpass | 10–13 | 0.01 | 20% | 15 Jan → | |
| inferno | 11–13 | -0.06 | 8% | 15 Jan → | |
| dust2 | 11–13 | -0.02 | 9% | 15 Jan → | |
| dust2 | 13–3 | 0.02 | 11% | 6 Jan → | |
| inferno | 13–2 | 0.08 | 13% | 6 Jan → | |
| nuke | 13–10 | 0.05 | 15% | 6 Jan → | |
| mirage | 3–13 | 0.00 | 11% | 5 Jan → | |
| train | 13–10 | 0.01 | 6% | 3 Jan → | |
| train | 13–4 | 0.06 | 8% | 3 Jan → | |
| inferno | 9–13 | -0.02 | 11% | 3 Jan → | |
| office | 5–13 | -0.00 | 22% | 3 Jan → | |
| office | 13–7 | 0.00 | 22% | 3 Jan → | |
| office | 8–13 | -0.10 | 7% | 24 Dec → | |
| office | 7–13 | -0.11 | 10% | 24 Dec → | |
| nuke | 9–13 | -0.03 | 15% | 13 Dec → | |
| dust2 | 13–10 | 0.01 | 22% | 13 Dec → | |
| dust2 | 13–6 | 0.02 | 15% | 6 Dec → | |
| nuke | 12–12 | 0.03 | 8% | 6 Dec → | |
| dust2 | 10–13 | -0.03 | 22% | 18 Nov → | |
| office | 13–6 | 0.00 | 28% | 18 Nov → | |
| train | 10–13 | -0.02 | 26% | 12 Nov → | |
| train | 10–13 | -0.02 | 13% | 11 Nov → | |
| office | 12–12 | -0.06 | 18% | 8 Oct → | |
| ancient | 12–12 | 0.01 | 18% | 8 Oct → | |
| mirage | 13–6 | -0.02 | 16% | 8 Oct → | |
| nuke | 13–9 | 0.01 | 11% | 4 Oct → | |
| palacio | 13–6 | -0.02 | 17% | 3 Oct → | |
| golden | 6–13 | -0.04 | 8% | 3 Oct → | |
| inferno | 13–7 | -0.07 | 10% | 3 Oct → | |
| mirage | 11–13 | -0.01 | 12% | 1 Oct → | |
| inferno | 9–4 | 0.05 | 6% | 30 Sept → | |
| anubis | 13–11 | -0.00 | 5% | 30 Sept → | |
| mirage | 2–13 | -0.09 | 13% | 20 Jun → | |
| nuke | 1–13 | -0.04 | 5% | 20 Jun → | |
| mirage | 13–6 | -0.04 | 6% | 16 Jun → | |
| train | 13–4 | -0.10 | 6% | 16 Jun → |
Match data via Leetify.
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