JewBaka — CS2 Stats
76561198275363153[U:1:315097425]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 47.1% | 44.1% | 47.2% | meets |
| Shot accuracy | 11.6% | 11.4% | 12.7% | 1.1% short |
| Kill/death ratio | 1.06 | 1.03 | 1.09 | 0.03 short |
| Match win rate | 30.6% | 45.2% | 46.6% | 16.0% short |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 ropz 88% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: higher opening-fight frequency; 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. 598ms 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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
 mirage | A | 28 | 16–12 | 57% | 0.01 |
 cache | D | 22 | 6–16 | 27% | 0.01 |
 dust2 | C | 22 | 9–13 | 41% | 0.02 |
 nuke | C | 9 | 4–5 | 44% | 0.02 |
 ancient | D | 6 | 1–5 | 17% | -0.01 |
 inferno | D | 5 | 0–5 | 0% | 0.02 |
 train | — | 2 | 1–1 | 50% | 0.02 |
 anubis | — | 2 | 1–1 | 50% | 0.04 |
 vertigo | — | 2 | 0–2 | 0% | -0.06 |
| office | — | 1 | 0–1 | 0% | -0.01 |
 overpass | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (0% over 5). 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
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 | |
|---|---|---|---|---|---|
| cache | 9–13 | -0.02 | 29% | 25 Aug → | |
| dust2 | 13–4 | -0.01 | 28% | 25 Aug → | |
| nuke | 13–7 | 0.02 | 20% | 25 Aug → | |
| dust2 | 11–13 | 0.06 | 14% | 25 Aug → | |
| dust2 | 8–13 | -0.01 | 19% | 25 Aug → | |
| mirage | 2–13 | -0.06 | 15% | 25 Aug → | |
| mirage | 13–6 | 0.07 | 25% | 25 Aug → | |
| dust2 | 10–13 | 0.02 | 27% | 24 Aug → | |
| mirage | 13–8 | 0.12 | 29% | 24 Aug → | |
| dust2 | 3–13 | -0.03 | 24% | 24 Aug → | |
| inferno | 15–15 | 0.01 | 21% | 23 Aug → | |
| dust2 | 13–11 | 0.04 | 23% | 23 Aug → | |
| mirage | 13–7 | 0.10 | 17% | 21 Aug → | |
| nuke | 13–9 | 0.00 | 27% | 19 Aug → | |
| cache | 6–13 | 0.02 | 31% | 19 Aug → | |
| train | 13–10 | 0.06 | 26% | 17 Aug → | |
| cache | 10–13 | 0.01 | 25% | 17 Aug → | |
| nuke | 13–8 | 0.07 | 23% | 11 Aug → | |
| mirage | 13–6 | 0.03 | 26% | 11 Aug → | |
| inferno | 11–13 | 0.05 | 20% | 10 Aug → | |
| nuke | 9–13 | 0.09 | 20% | 9 Aug → | |
| cache | 10–13 | -0.00 | 7% | 7 Aug → | |
| office | 11–13 | -0.01 | 28% | 7 Aug → | |
| mirage | 13–3 | 0.01 | 17% | 7 Aug → | |
| mirage | 13–11 | 0.07 | 23% | 7 Aug → | |
| nuke | 10–13 | -0.02 | 28% | 5 Aug → | |
| dust2 | 13–11 | 0.03 | 20% | 5 Aug → | |
| mirage | 13–7 | 0.00 | 25% | 4 Aug → | |
| cache | 13–8 | -0.04 | 20% | 4 Aug → | |
| cache | 11–13 | 0.11 | 21% | 4 Aug → | |
| cache | 8–13 | 0.00 | 30% | 2 Aug → | |
| cache | 4–13 | -0.01 | 19% | 1 Aug → | |
| mirage | 2–13 | -0.01 | 20% | 1 Aug → | |
| mirage | 7–13 | -0.04 | 20% | 31 Jul → | |
| dust2 | 13–16 | 0.07 | 23% | 30 Jul → | |
| mirage | 13–11 | 0.02 | 19% | 30 Jul → | |
| cache | 13–8 | -0.01 | 15% | 29 Jul → | |
| dust2 | 2–13 | 0.02 | 7% | 29 Jul → | |
| cache | 0–7 | -0.02 | 27% | 28 Jul → | |
| nuke | 10–13 | -0.01 | 28% | 28 Jul → | |
| dust2 | 2–13 | 0.21 | 12% | 28 Jul → | |
| dust2 | 13–6 | 0.04 | 39% | 28 Jul → | |
| cache | 5–13 | -0.08 | 14% | 27 Jul → | |
| anubis | 3–13 | 0.06 | 26% | 26 Jul → | |
| cache | 13–10 | 0.05 | 22% | 26 Jul → | |
| ancient | 6–13 | 0.00 | 29% | 26 Jul → | |
| dust2 | 5–13 | 0.00 | 25% | 26 Jul → | |
| mirage | 8–13 | -0.00 | 41% | 26 Jul → | |
| mirage | 8–3 | 0.00 | 20% | 24 Jul → | |
| mirage | 3–13 | -0.02 | 19% | 23 Jul → | |
| cache | 8–13 | -0.00 | 19% | 23 Jul → | |
| dust2 | 10–13 | 0.01 | 22% | 22 Jul → | |
| nuke | 10–13 | -0.02 | 14% | 21 Jul → | |
| nuke | 1–10 | -0.01 | 6% | 20 Jul → | |
| ancient | 5–13 | 0.02 | 15% | 20 Jul → | |
| dust2 | 13–2 | 0.14 | 21% | 20 Jul → | |
| mirage | 7–13 | -0.00 | 19% | 20 Jul → | |
| mirage | 13–7 | -0.01 | 15% | 20 Jul → | |
| train | 8–13 | -0.03 | 14% | 19 Jul → | |
| overpass | 8–13 | -0.02 | 21% | 17 Jul → | |
| vertigo | 12–12 | -0.08 | 15% | 17 Jul → | |
| mirage | 9–13 | -0.07 | 16% | 17 Jul → | |
| dust2 | 12–16 | -0.02 | 25% | 17 Jul → | |
| nuke | 13–10 | 0.06 | 20% | 17 Jul → | |
| mirage | 14–16 | 0.04 | 15% | 16 Jul → | |
| anubis | 13–9 | 0.02 | 34% | 16 Jul → | |
| mirage | 8–13 | 0.08 | 17% | 14 Jul → | |
| ancient | 13–2 | 0.05 | 23% | 13 Jul → | |
| dust2 | 13–6 | -0.02 | 23% | 13 Jul → | |
| mirage | 13–11 | 0.03 | 20% | 13 Jul → | |
| cache | 13–8 | 0.00 | 19% | 13 Jul → | |
| cache | 13–10 | 0.05 | 26% | 13 Jul → | |
| ancient | 4–13 | -0.04 | 23% | 12 Jul → | |
| mirage | 13–7 | 0.07 | 22% | 12 Jul → | |
| dust2 | 13–11 | -0.03 | 15% | 12 Jul → | |
| cache | 3–13 | -0.06 | 36% | 11 Jul → | |
| cache | 10–13 | 0.04 | 19% | 11 Jul → | |
| mirage | 16–13 | -0.00 | 19% | 11 Jul → | |
| dust2 | 9–13 | 0.04 | 34% | 10 Jul → | |
| dust2 | 13–9 | 0.00 | 11% | 10 Jul → | |
| cache | 10–13 | -0.02 | 9% | 10 Jul → | |
| cache | 8–13 | 0.07 | 20% | 9 Jul → | |
| mirage | 16–13 | -0.02 | 16% | 9 Jul → | |
| cache | 12–12 | -0.08 | 24% | 8 Jul → | |
| mirage | 13–9 | 0.08 | 32% | 8 Jul → | |
| mirage | 5–13 | -0.04 | 40% | 7 Jul → | |
| vertigo | 12–12 | -0.05 | 20% | 7 Jul → | |
| cache | 12–1 | 0.14 | 36% | 7 Jul → | |
| ancient | 11–13 | -0.05 | 20% | 7 Jul → | |
| dust2 | 11–13 | -0.02 | 19% | 7 Jul → | |
| cache | 1–13 | -0.01 | 23% | 7 Jul → | |
| inferno | 5–13 | 0.05 | 27% | 6 Jul → | |
| mirage | 3–13 | -0.01 | 13% | 6 Jul → | |
| mirage | 3–13 | -0.05 | 23% | 5 Jul → | |
| mirage | 16–13 | 0.01 | 17% | 5 Jul → | |
| inferno | 10–13 | 0.03 | 26% | 5 Jul → | |
| dust2 | 13–11 | -0.02 | 16% | 5 Jul → | |
| dust2 | 8–13 | -0.01 | 29% | 5 Jul → | |
| ancient | 7–13 | -0.02 | 24% | 4 Jul → | |
| inferno | 10–13 | -0.04 | 21% | 4 Jul → |
Match data via Leetify.
