Bear — CS2 Stats
76561198250624218[U:1:290358490]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp 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 75% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-duel success; 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
Strengths
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
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.
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 3.9/10 (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 |
|---|---|---|---|---|---|
| S | 26 | 17–9 | 65% | -0.02 | |
| C | 20 | 7–13 | 35% | -0.02 | |
| A | 19 | 11–8 | 58% | -0.01 | |
| A | 11 | 7–4 | 64% | -0.03 | |
| D | 10 | 2–8 | 20% | -0.02 | |
| A | 8 | 5–3 | 63% | 0.00 | |
| — | 4 | 2–2 | 50% | 0.00 | |
| — | 2 | 0–2 | 0% | 0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke 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.
- 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 12.5007° — 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 10.0409% — 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.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.01 | 8% | 15 Jul → | ||
| 13–11 | -0.01 | 13% | 15 Jul → | ||
| 13–7 | -0.00 | 11% | 15 Jul → | ||
| 6–13 | 0.08 | 11% | 9 Jul → | ||
| 7–2 | -0.06 | 20% | 6 Jul → | ||
| 10–13 | -0.02 | 13% | 5 Jul → | ||
| 13–7 | -0.05 | 6% | 4 Jul → | ||
| 13–4 | -0.00 | 14% | 4 Jul → | ||
| 13–6 | -0.02 | 9% | 2 Jul → | ||
| 7–13 | -0.05 | 13% | 2 Jul → | ||
| 13–10 | -0.08 | 8% | 2 Jul → | ||
| 13–9 | -0.02 | 11% | 2 Jul → | ||
| 3–13 | -0.08 | 22% | 30 Jun → | ||
| 13–3 | 0.01 | 11% | 30 Jun → | ||
| 13–10 | -0.07 | 9% | 29 Jun → | ||
| 15–15 | -0.05 | 4% | 25 Jun → | ||
| 13–8 | -0.07 | 3% | 24 Jun → | ||
| 13–10 | 0.01 | 10% | 24 Jun → | ||
| 16–13 | -0.02 | 6% | 24 Jun → | ||
| 13–10 | -0.02 | 8% | 24 Jun → | ||
| 2–13 | -0.03 | 10% | 17 Jun → | ||
| 13–9 | 0.06 | 13% | 17 Jun → | ||
| 2–13 | 0.05 | 8% | 17 Jun → | ||
| 10–13 | 0.04 | 10% | 17 Jun → | ||
| 8–13 | -0.04 | 19% | 16 Jun → | ||
| 3–13 | -0.13 | 8% | 16 Jun → | ||
| 13–5 | -0.01 | 3% | 16 Jun → | ||
| 14–16 | -0.03 | 9% | 16 Jun → | ||
| 13–9 | -0.03 | 7% | 15 Jun → | ||
| 6–2 | 0.03 | 29% | 15 Jun → | ||
| 4–13 | 0.04 | 7% | 15 Jun → | ||
| 4–13 | -0.09 | 9% | 15 Jun → | ||
| 13–9 | -0.01 | 10% | 11 Jun → | ||
| 13–11 | 0.08 | 8% | 11 Jun → | ||
| 11–13 | -0.04 | 6% | 11 Jun → | ||
| 15–15 | 0.00 | 10% | 10 Jun → | ||
| 7–13 | -0.02 | 7% | 10 Jun → | ||
| 13–11 | 0.00 | 8% | 10 Jun → | ||
| 7–13 | -0.03 | 9% | 10 Jun → | ||
| 13–6 | -0.00 | 7% | 10 Jun → | ||
| 14–16 | -0.01 | 11% | 9 Jun → | ||
| 13–6 | -0.01 | 2% | 9 Jun → | ||
| 13–4 | 0.13 | 0% | 9 Jun → | ||
| 13–10 | -0.03 | 5% | 9 Jun → | ||
| 11–13 | -0.03 | 8% | 4 Jun → | ||
| 16–13 | -0.01 | 5% | 4 Jun → | ||
| 13–4 | 0.05 | 12% | 4 Jun → | ||
| 0–13 | -0.11 | 0% | 4 Jun → | ||
| 8–13 | 0.03 | 7% | 3 Jun → | ||
| 13–8 | -0.01 | 5% | 3 Jun → | ||
| 12–12 | -0.04 | 12% | 3 Jun → | ||
| 13–6 | -0.02 | 6% | 3 Jun → | ||
| 13–8 | 0.04 | 7% | 2 Jun → | ||
| 13–3 | 0.01 | 17% | 2 Jun → | ||
| 10–13 | -0.02 | 12% | 2 Jun → | ||
| 10–13 | -0.02 | 10% | 2 Jun → | ||
| 13–3 | 0.04 | 12% | 31 May → | ||
| 4–13 | 0.06 | 16% | 29 May → | ||
| 9–13 | -0.01 | 14% | 29 May → | ||
| 10–13 | -0.02 | 13% | 28 May → | ||
| 13–11 | 0.00 | 7% | 14 May → | ||
| 10–13 | 0.06 | 10% | 14 May → | ||
| 13–9 | 0.01 | 13% | 14 May → | ||
| 13–6 | 0.02 | 9% | 12 May → | ||
| 13–10 | 0.04 | 9% | 12 May → | ||
| 8–13 | -0.01 | 9% | 12 May → | ||
| 10–13 | -0.08 | 12% | 30 Apr → | ||
| 13–10 | 0.04 | 6% | 30 Apr → | ||
| 4–13 | -0.07 | 10% | 30 Apr → | ||
| 11–13 | 0.01 | 5% | 30 Apr → | ||
| 8–13 | -0.03 | 8% | 30 Apr → | ||
| 5–13 | -0.00 | 24% | 30 Apr → | ||
| 9–13 | 0.02 | 13% | 30 Apr → | ||
| 13–10 | -0.01 | 10% | 30 Apr → | ||
| 13–11 | 0.02 | 8% | 29 Apr → | ||
| 13–6 | -0.02 | 8% | 29 Apr → | ||
| 12–16 | -0.09 | 10% | 29 Apr → | ||
| 5–13 | -0.07 | 12% | 28 Apr → | ||
| 13–9 | -0.00 | 13% | 28 Apr → | ||
| 3–10 | -0.04 | 6% | 28 Apr → | ||
| 13–9 | -0.05 | 11% | 28 Apr → | ||
| 6–13 | -0.02 | 11% | 27 Apr → | ||
| 13–9 | -0.00 | 4% | 27 Apr → | ||
| 2–13 | -0.03 | 3% | 27 Apr → | ||
| 13–6 | 0.02 | 2% | 27 Apr → | ||
| 14–16 | -0.00 | 16% | 23 Apr → | ||
| 5–13 | -0.00 | 12% | 23 Apr → | ||
| 5–13 | -0.06 | 2% | 22 Apr → | ||
| 13–10 | -0.03 | 8% | 22 Apr → | ||
| 13–8 | -0.05 | 10% | 22 Apr → | ||
| 16–14 | -0.06 | 13% | 21 Apr → | ||
| 13–7 | -0.01 | 20% | 21 Apr → | ||
| 6–13 | -0.06 | 2% | 21 Apr → | ||
| 6–13 | -0.06 | 7% | 20 Apr → | ||
| 4–13 | -0.02 | 6% | 20 Apr → | ||
| 13–10 | -0.03 | 4% | 20 Apr → | ||
| 9–13 | -0.06 | 0% | 20 Apr → | ||
| 13–7 | -0.01 | 10% | 20 Apr → | ||
| 11–13 | -0.05 | 13% | 18 Apr → | ||
| 13–10 | 0.03 | 3% | 18 Apr → |
Match data via Leetify.