Innocently — CS2 Stats
76561198126197944[U:1:165932216]✓ 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 | 32.2% | 41.7% | 44.1% | 11.8% short |
| Shot accuracy | 18.1% | 8.8% | 11.4% | above |
| Kill/death ratio | 0.97 | 0.97 | 1.03 | 0.06 short |
| Match win rate | 41.6% | 43.8% | 45.2% | 3.6% short |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. 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: -30pp win rate · -0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 89% playstyle similarity
Most alike: positioning profile, 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. 653ms 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 5.8/10 (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 |
|---|---|---|---|---|---|
| B | 33 | 16–17 | 48% | 0.02 | |
| B | 29 | 15–14 | 52% | 0.01 | |
| A | 12 | 7–5 | 58% | 0.03 | |
| B | 10 | 5–5 | 50% | 0.03 | |
| S | 6 | 4–2 | 67% | 0.01 | |
| D | 6 | 2–4 | 33% | 0.00 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 6). 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.05 | 19% | 13 May → | ||
| 13–11 | -0.00 | 21% | 13 May → | ||
| 12–16 | -0.07 | 11% | 5 May → | ||
| 12–12 | -0.03 | 13% | 29 Apr → | ||
| 6–13 | 0.10 | 20% | 27 Apr → | ||
| 11–13 | 0.02 | 30% | 24 Apr → | ||
| 6–13 | -0.00 | 10% | 24 Apr → | ||
| 5–13 | -0.00 | 6% | 22 Apr → | ||
| 13–10 | 0.02 | 15% | 21 Apr → | ||
| 13–4 | 0.01 | 19% | 21 Apr → | ||
| 1–13 | -0.09 | 7% | 20 Apr → | ||
| 13–6 | 0.07 | 10% | 20 Apr → | ||
| 13–3 | 0.09 | 15% | 20 Apr → | ||
| 13–6 | -0.02 | 18% | 19 Apr → | ||
| 13–7 | 0.03 | 12% | 19 Apr → | ||
| 13–6 | 0.10 | 18% | 19 Apr → | ||
| 11–13 | 0.04 | 18% | 18 Apr → | ||
| 3–13 | 0.05 | 20% | 18 Apr → | ||
| 15–15 | 0.03 | 12% | 17 Apr → | ||
| 13–11 | 0.07 | 7% | 17 Apr → | ||
| 13–11 | 0.10 | 8% | 17 Apr → | ||
| 13–7 | 0.02 | 14% | 17 Apr → | ||
| 9–13 | -0.05 | 10% | 17 Apr → | ||
| 13–11 | 0.00 | 19% | 16 Apr → | ||
| 13–11 | -0.00 | 21% | 14 Apr → | ||
| 5–13 | -0.03 | 19% | 14 Apr → | ||
| 13–11 | 0.04 | 19% | 11 Apr → | ||
| 13–4 | 0.11 | 6% | 11 Apr → | ||
| 8–13 | 0.10 | 20% | 11 Apr → | ||
| 13–7 | 0.04 | 16% | 8 Apr → | ||
| 13–1 | 0.11 | 22% | 8 Apr → | ||
| 13–6 | 0.13 | 23% | 8 Apr → | ||
| 16–14 | 0.02 | 14% | 7 Apr → | ||
| 4–13 | -0.00 | 24% | 4 Apr → | ||
| 11–4 | 0.03 | 15% | 4 Apr → | ||
| 14–16 | 0.10 | 9% | 4 Apr → | ||
| 7–13 | 0.06 | 18% | 4 Apr → | ||
| 11–13 | 0.15 | 14% | 3 Apr → | ||
| 7–13 | 0.09 | 22% | 3 Apr → | ||
| 3–13 | -0.08 | 9% | 3 Apr → | ||
| 8–13 | -0.07 | 9% | 3 Apr → | ||
| 15–15 | -0.01 | 18% | 2 Apr → | ||
| 2–13 | -0.02 | 11% | 2 Apr → | ||
| 9–13 | 0.02 | 10% | 2 Apr → | ||
| 16–13 | -0.02 | 9% | 2 Apr → | ||
| 13–11 | 0.04 | 18% | 2 Apr → | ||
| 13–7 | 0.03 | 7% | 2 Apr → | ||
| 4–13 | 0.02 | 22% | 1 Apr → | ||
| 13–8 | 0.09 | 12% | 1 Apr → | ||
| 2–13 | 0.02 | 22% | 1 Apr → | ||
| 13–8 | 0.08 | 15% | 1 Apr → | ||
| 1–12 | -0.06 | 10% | 1 Apr → | ||
| 11–13 | -0.07 | 2% | 31 Mar → | ||
| 5–13 | 0.03 | 6% | 31 Mar → | ||
| 13–9 | -0.00 | 5% | 31 Mar → | ||
| 7–0 | -0.05 | 18% | 31 Mar → | ||
| 8–13 | 0.08 | 22% | 30 Mar → | ||
| 13–11 | -0.00 | 11% | 30 Mar → | ||
| 13–9 | -0.00 | 35% | 30 Mar → | ||
| 13–6 | 0.06 | 11% | 30 Mar → | ||
| 11–13 | -0.01 | 31% | 30 Mar → | ||
| 13–9 | 0.04 | 8% | 29 Mar → | ||
| 13–3 | 0.14 | 11% | 29 Mar → | ||
| 10–13 | 0.01 | 9% | 29 Mar → | ||
| 13–8 | 0.09 | 22% | 29 Mar → | ||
| 13–7 | 0.00 | 8% | 25 Mar → | ||
| 4–13 | -0.04 | 21% | 25 Mar → | ||
| 13–11 | 0.02 | 13% | 25 Mar → | ||
| 14–16 | -0.03 | 20% | 24 Mar → | ||
| 9–13 | -0.04 | 9% | 24 Mar → | ||
| 13–8 | -0.04 | 13% | 24 Mar → | ||
| 13–6 | 0.08 | 9% | 23 Mar → | ||
| 13–10 | -0.04 | 10% | 23 Mar → | ||
| 11–13 | -0.07 | 14% | 23 Mar → | ||
| 13–7 | 0.01 | 10% | 20 Mar → | ||
| 9–13 | -0.03 | 10% | 20 Mar → | ||
| 5–13 | -0.09 | 7% | 19 Mar → | ||
| 3–13 | -0.02 | 12% | 19 Mar → | ||
| 7–13 | -0.02 | 8% | 19 Mar → | ||
| 8–13 | -0.07 | 12% | 17 Mar → | ||
| 7–13 | 0.00 | 10% | 16 Mar → | ||
| 10–13 | -0.09 | 13% | 16 Mar → | ||
| 13–1 | 0.17 | 19% | 16 Mar → | ||
| 16–14 | 0.06 | 13% | 14 Mar → | ||
| 13–7 | -0.03 | 20% | 14 Mar → | ||
| 5–13 | 0.03 | 16% | 14 Mar → | ||
| 7–13 | 0.05 | 12% | 13 Mar → | ||
| 13–3 | 0.05 | 7% | 13 Mar → | ||
| 13–9 | 0.04 | 6% | 13 Mar → | ||
| 15–15 | -0.01 | 18% | 13 Mar → | ||
| 13–4 | -0.03 | 10% | 13 Mar → | ||
| 11–13 | -0.00 | 24% | 13 Mar → | ||
| 13–10 | 0.02 | 12% | 13 Mar → | ||
| 16–13 | 0.06 | 19% | 13 Mar → | ||
| 13–5 | 0.17 | 11% | 13 Mar → | ||
| 1–13 | -0.07 | 6% | 12 Mar → | ||
| 13–9 | -0.02 | 9% | 12 Mar → | ||
| 5–13 | -0.03 | 2% | 11 Mar → | ||
| 16–14 | 0.01 | 12% | 11 Mar → | ||
| 5–13 | 0.01 | 15% | 11 Mar → |
Match data via Leetify.
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