scrim — CS2 Stats
JP76561197961806729[U:1:1541001]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 55.0% | 41.7% | 44.1% | above |
| Shot accuracy | 0.0% | 8.8% | 11.4% | 11.4% short |
| Kill/death ratio | 1.32 | 0.97 | 1.03 | above |
| Match win rate | 55.9% | 43.8% | 45.2% | above |
This profile matches the typical Purple band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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: -10pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 Twistzz 89% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: 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
T-side openings. Opening success drops from 53% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 570ms 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 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| A | 46 | 29–17 | 63% | 0.03 | |
| S | 24 | 16–8 | 67% | 0.03 | |
| S | 12 | 8–4 | 67% | 0.05 | |
| S | 11 | 8–3 | 73% | 0.01 | |
| — | 4 | 3–1 | 75% | 0.04 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (63% over 46). Start with the 6 essential Mirage 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 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 18.4217% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.01 | 16% | 8 Jul → | ||
| 8–13 | -0.01 | 28% | 8 Jul → | ||
| 1–13 | -0.08 | 9% | 6 Jul → | ||
| 13–2 | 0.03 | 13% | 6 Jul → | ||
| 0–13 | -0.04 | 33% | 4 Jul → | ||
| 7–13 | 0.03 | 23% | 3 Jul → | ||
| 16–14 | -0.02 | 20% | 3 Jul → | ||
| 13–5 | 0.13 | 29% | 2 Jul → | ||
| 13–5 | 0.06 | 25% | 2 Jul → | ||
| 13–8 | 0.05 | 26% | 2 Jul → | ||
| 10–13 | -0.05 | 14% | 1 Jul → | ||
| 13–9 | 0.06 | 18% | 1 Jul → | ||
| 13–8 | 0.03 | 33% | 1 Jul → | ||
| 16–14 | -0.02 | 18% | 1 Jul → | ||
| 2–13 | -0.02 | 32% | 1 Jul → | ||
| 13–0 | 0.08 | 23% | 1 Jul → | ||
| 13–10 | 0.03 | 20% | 1 Jul → | ||
| 5–13 | -0.06 | 28% | 30 Jun → | ||
| 8–13 | -0.03 | 20% | 30 Jun → | ||
| 13–2 | 0.02 | 26% | 30 Jun → | ||
| 13–4 | 0.06 | 20% | 30 Jun → | ||
| 6–0 | 0.01 | 75% | 30 Jun → | ||
| 7–13 | -0.00 | 24% | 30 Jun → | ||
| 6–13 | -0.01 | 22% | 30 Jun → | ||
| 8–13 | 0.09 | 23% | 30 Jun → | ||
| 13–2 | 0.08 | 27% | 29 Jun → | ||
| 5–13 | -0.04 | 0% | 29 Jun → | ||
| 13–11 | 0.00 | 18% | 29 Jun → | ||
| 4–13 | -0.08 | 17% | 28 Jun → | ||
| 13–3 | 0.09 | 9% | 28 Jun → | ||
| 13–5 | 0.00 | 27% | 28 Jun → | ||
| 13–0 | 0.00 | 100% | 28 Jun → | ||
| 13–11 | 0.04 | 40% | 28 Jun → | ||
| 13–0 | 0.02 | 62% | 28 Jun → | ||
| 3–13 | 0.06 | 21% | 28 Jun → | ||
| 3–4 | 0.13 | 12% | 28 Jun → | ||
| 7–13 | -0.05 | 7% | 27 Jun → | ||
| 13–3 | -0.01 | 9% | 27 Jun → | ||
| 13–10 | -0.02 | 25% | 27 Jun → | ||
| 13–6 | 0.08 | 29% | 27 Jun → | ||
| 13–1 | 0.05 | 40% | 27 Jun → | ||
| 13–3 | 0.07 | 28% | 27 Jun → | ||
| 13–10 | -0.03 | 36% | 27 Jun → | ||
| 9–13 | -0.03 | 29% | 27 Jun → | ||
| 13–11 | -0.01 | 23% | 26 Jun → | ||
| 8–0 | 0.04 | 58% | 26 Jun → | ||
| 9–13 | -0.05 | 12% | 26 Jun → | ||
| 13–5 | -0.00 | 22% | 26 Jun → | ||
| 13–0 | 0.01 | 100% | 26 Jun → | ||
| 13–2 | 0.04 | 17% | 26 Jun → | ||
| 13–6 | 0.09 | 29% | 26 Jun → | ||
| 13–1 | 0.03 | 27% | 26 Jun → | ||
| 12–16 | -0.06 | 19% | 25 Jun → | ||
| 13–6 | 0.07 | 30% | 25 Jun → | ||
| 13–5 | 0.10 | 20% | 25 Jun → | ||
| 14–16 | 0.11 | 31% | 25 Jun → | ||
| 8–13 | 0.02 | 30% | 25 Jun → | ||
| 9–4 | 0.09 | 30% | 24 Jun → | ||
| 9–2 | 0.26 | 26% | 24 Jun → | ||
| 2–13 | 0.05 | 23% | 24 Jun → | ||
| 13–3 | 0.21 | 32% | 24 Jun → | ||
| 12–12 | 0.01 | 35% | 24 Jun → | ||
| 13–2 | 0.02 | 15% | 24 Jun → | ||
| 13–4 | 0.19 | 34% | 24 Jun → | ||
| 13–7 | -0.00 | 27% | 23 Jun → | ||
| 13–9 | 0.11 | 35% | 23 Jun → | ||
| 13–3 | 0.02 | 30% | 23 Jun → | ||
| 13–8 | 0.03 | 25% | 23 Jun → | ||
| 13–1 | 0.00 | 25% | 23 Jun → | ||
| 7–1 | -0.02 | 0% | 23 Jun → | ||
| 13–7 | 0.09 | 25% | 22 Jun → | ||
| 11–7 | 0.19 | 37% | 22 Jun → | ||
| 13–2 | -0.01 | 27% | 22 Jun → | ||
| 13–2 | 0.01 | 30% | 22 Jun → | ||
| 13–3 | 0.10 | 33% | 22 Jun → | ||
| 13–3 | 0.00 | 21% | 22 Jun → | ||
| 13–11 | 0.05 | 41% | 22 Jun → | ||
| 0–13 | -0.05 | 26% | 22 Jun → | ||
| 13–6 | 0.06 | 30% | 22 Jun → | ||
| 12–12 | -0.02 | 28% | 22 Jun → | ||
| 13–7 | 0.00 | 28% | 22 Jun → | ||
| 7–13 | 0.04 | 24% | 21 Jun → | ||
| 13–4 | -0.05 | 17% | 21 Jun → | ||
| 2–13 | -0.07 | 4% | 21 Jun → | ||
| 13–5 | 0.08 | 27% | 21 Jun → | ||
| 13–4 | 0.04 | 21% | 21 Jun → | ||
| 13–10 | 0.02 | 12% | 21 Jun → | ||
| 12–12 | -0.06 | 14% | 21 Jun → | ||
| 1–13 | -0.08 | 17% | 21 Jun → | ||
| 13–11 | 0.12 | 19% | 20 Jun → | ||
| 13–3 | 0.13 | 17% | 20 Jun → | ||
| 13–5 | 0.01 | 24% | 20 Jun → | ||
| 7–13 | 0.03 | 39% | 20 Jun → | ||
| 13–7 | 0.02 | 26% | 20 Jun → | ||
| 13–1 | -0.00 | 26% | 20 Jun → | ||
| 9–13 | -0.01 | 38% | 20 Jun → | ||
| 13–1 | 0.10 | 43% | 20 Jun → | ||
| 12–12 | -0.01 | 13% | 19 Jun → | ||
| 4–13 | -0.07 | 35% | 19 Jun → | ||
| 13–9 | 0.04 | 39% | 19 Jun → |
Match data via Leetify.