osp rogowo skins.army — CS2 Stats
76561198247493788[U:1:287228060]✓ No bans
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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
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 65% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower positioning profile; 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. 679ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 61% 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 2.3/10 (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 |
|---|---|---|---|---|---|
| B | 35 | 16–19 | 46% | -0.04 | |
| D | 16 | 5–11 | 31% | -0.06 | |
| D | 13 | 4–9 | 31% | -0.06 | |
| D | 9 | 2–7 | 22% | -0.06 | |
| C | 8 | 3–5 | 38% | -0.08 | |
| C | 7 | 3–4 | 43% | -0.05 | |
| A | 5 | 3–2 | 60% | -0.05 | |
| — | 3 | 1–2 | 33% | -0.06 | |
| — | 2 | 2–0 | 100% | -0.05 | |
| office | — | 1 | 0–1 | 0% | -0.11 |
| — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Overpass 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
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 14.1985% — below the 15% mark we flag
- 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 21.3066% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.07 | 13% | 24 Jun → | ||
| 13–7 | -0.03 | 20% | 24 Jun → | ||
| 12–12 | -0.07 | 6% | 23 Jun → | ||
| 13–5 | -0.06 | 19% | 22 Jun → | ||
| 5–13 | -0.05 | 14% | 28 Apr → | ||
| 13–4 | -0.02 | 7% | 27 Apr → | ||
| 2–13 | -0.08 | 24% | 23 Apr → | ||
| 9–13 | -0.07 | 24% | 23 Apr → | ||
| 5–13 | -0.05 | 13% | 23 Apr → | ||
| 1–13 | -0.07 | 40% | 23 Apr → | ||
| 9–13 | -0.04 | 7% | 23 Apr → | ||
| 1–13 | -0.11 | 10% | 22 Apr → | ||
| 5–13 | -0.08 | 6% | 22 Apr → | ||
| 8–13 | -0.05 | 10% | 22 Apr → | ||
| 13–5 | -0.04 | 17% | 22 Apr → | ||
| 7–13 | -0.06 | 11% | 21 Apr → | ||
| 6–13 | -0.09 | 4% | 19 Apr → | ||
| 13–8 | -0.08 | 9% | 19 Apr → | ||
| 7–13 | -0.09 | 22% | 19 Apr → | ||
| 8–13 | -0.03 | 24% | 19 Apr → | ||
| 13–1 | -0.04 | 7% | 19 Apr → | ||
| 13–6 | -0.03 | 13% | 18 Apr → | ||
| 7–13 | -0.03 | 8% | 18 Apr → | ||
| 13–6 | 0.10 | 11% | 18 Apr → | ||
| 11–13 | -0.04 | 15% | 17 Apr → | ||
| 13–11 | -0.08 | 3% | 17 Apr → | ||
| 13–4 | -0.01 | 23% | 17 Apr → | ||
| 6–13 | -0.05 | 12% | 16 Apr → | ||
| 6–13 | -0.01 | 21% | 16 Apr → | ||
| 2–13 | -0.02 | 27% | 16 Apr → | ||
| 0–13 | -0.08 | 7% | 16 Apr → | ||
| 13–11 | -0.03 | 13% | 15 Apr → | ||
| 11–13 | -0.05 | 16% | 15 Apr → | ||
| 12–12 | -0.03 | 21% | 15 Apr → | ||
| 13–4 | -0.01 | 5% | 15 Apr → | ||
| 13–7 | -0.09 | 0% | 14 Apr → | ||
| 13–11 | -0.02 | 16% | 14 Apr → | ||
| 2–9 | -0.11 | 11% | 14 Apr → | ||
| 4–13 | -0.10 | 6% | 13 Apr → | ||
| 13–11 | -0.01 | 16% | 8 Apr → | ||
| 13–5 | 0.01 | 11% | 5 Apr → | ||
| 9–13 | -0.09 | 18% | 2 Apr → | ||
| 8–13 | -0.06 | 12% | 2 Apr → | ||
| 5–13 | -0.06 | 24% | 15 Mar → | ||
| 13–16 | 0.01 | 25% | 14 Mar → | ||
| 6–13 | -0.08 | 19% | 4 May → | ||
| 13–8 | -0.08 | 11% | 11 Nov → | ||
| 3–13 | -0.11 | 4% | 5 Nov → | ||
| 13–6 | -0.03 | 7% | 12 Mar → | ||
| 13–8 | -0.06 | 13% | 12 Mar → | ||
| 13–9 | -0.06 | 13% | 6 Mar → | ||
| 13–2 | 0.01 | 4% | 6 Mar → | ||
| 4–13 | -0.10 | 3% | 6 Mar → | ||
| 5–13 | -0.02 | 24% | 6 Mar → | ||
| 13–3 | -0.07 | 20% | 5 Mar → | ||
| 13–1 | -0.02 | 38% | 5 Mar → | ||
| 13–4 | -0.09 | 4% | 5 Mar → | ||
| 10–13 | -0.07 | 13% | 5 Mar → | ||
| 13–9 | -0.01 | 6% | 16 Nov → | ||
| 4–13 | -0.04 | 16% | 12 Nov → | ||
| 3–16 | -0.07 | 2% | 31 Jul → | ||
| 2–16 | -0.10 | 10% | 17 Jul → | ||
| 16–3 | 0.21 | 17% | 13 Jul → | ||
| office | 3–9 | -0.11 | 10% | 10 Jul → | |
| 5–16 | -0.10 | 6% | 10 Jul → | ||
| 7–16 | -0.05 | 9% | 9 Jul → | ||
| 16–7 | 0.02 | 11% | 6 Jul → | ||
| 12–16 | -0.06 | 11% | 4 Jul → | ||
| 7–16 | -0.08 | 14% | 3 Jul → | ||
| 16–4 | -0.01 | 7% | 3 Jul → | ||
| 15–15 | -0.04 | 13% | 2 Jul → | ||
| 15–15 | -0.01 | 10% | 29 Jun → | ||
| 10–3 | 0.02 | 11% | 29 Jun → | ||
| 4–16 | -0.05 | 9% | 29 Jun → | ||
| 8–16 | -0.03 | 11% | 28 Jun → | ||
| 14–16 | -0.05 | 6% | 28 Jun → | ||
| 6–16 | -0.07 | 11% | 28 Jun → | ||
| 3–16 | -0.14 | 0% | 28 Jun → | ||
| 16–9 | -0.06 | 10% | 27 Jun → | ||
| 9–16 | -0.15 | 6% | 27 Jun → | ||
| 16–12 | -0.05 | 9% | 27 Jun → | ||
| 16–7 | -0.05 | 9% | 26 Jun → | ||
| 10–16 | -0.05 | 6% | 23 Jun → | ||
| 15–15 | -0.09 | 7% | 11 Jun → | ||
| 11–16 | -0.08 | 6% | 6 Jun → | ||
| 16–8 | -0.07 | 6% | 5 Jun → | ||
| 5–16 | -0.11 | 12% | 29 May → | ||
| 14–16 | -0.06 | 5% | 25 May → | ||
| 16–12 | -0.07 | 2% | 21 May → | ||
| 12–16 | -0.07 | 7% | 15 May → | ||
| 12–16 | -0.06 | 5% | 15 May → | ||
| 16–6 | -0.07 | 6% | 15 May → | ||
| 8–16 | -0.10 | 3% | 15 May → | ||
| 16–7 | -0.04 | 7% | 14 May → | ||
| 16–3 | -0.07 | 20% | 14 May → | ||
| 16–12 | -0.07 | 15% | 11 May → | ||
| 16–5 | -0.01 | 4% | 11 May → | ||
| 12–16 | -0.02 | 8% | 8 May → | ||
| 17–19 | -0.07 | 11% | 27 Apr → | ||
| 13–16 | -0.03 | 8% | 27 Apr → |
Match data via Leetify.
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