acoR — CS2 Stats
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IM76561198002942763[U:1:42677035]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong 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 s1mple 98% playstyle similarity
Most alike: aim profile, opening-fight frequency.
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
Aim. Aim score of 98 — the mechanical foundation is a clear strength.
CT openings. 75% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 75% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
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 8.2/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 24 | 14–10 | 58% | 0.01 | |
| B | 17 | 8–9 | 47% | 0.00 | |
| B | 15 | 7–8 | 47% | 0.02 | |
| B | 13 | 7–6 | 54% | 0.00 | |
| A | 13 | 8–5 | 62% | -0.00 | |
| A | 7 | 4–3 | 57% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| C | 5 | 2–3 | 40% | -0.02 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 163 | 63% | 1.65 | 19.4 |
| Ancient | 89 | 67% | 1.57 | 16.6 |
| Nuke | 80 | 61% | 1.45 | 17.5 |
| Dust2 | 70 | 53% | 1.49 | 19.7 |
| Anubis | 49 | 61% | 1.67 | 20.1 |
| Inferno | 33 | 52% | 1.26 | 16.1 |
| Vertigo | 21 | 71% | 1.41 | 17.4 |
| Train | 19 | 68% | 1.55 | 20.2 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.08 | 17% | 27 Aug → | ||
| 9–13 | -0.02 | 10% | 27 Aug → | ||
| 13–11 | 0.02 | 39% | 27 Aug → | ||
| 5–13 | -0.09 | 29% | 9 Aug → | ||
| 8–13 | -0.01 | 14% | 9 Aug → | ||
| 13–9 | -0.01 | 29% | 9 Aug → | ||
| 13–8 | 0.00 | 27% | 9 Aug → | ||
| 16–12 | 0.02 | 16% | 9 Aug → | ||
| 4–13 | -0.04 | 33% | 9 Aug → | ||
| 13–3 | -0.00 | 17% | 9 Aug → | ||
| 13–11 | 0.06 | 29% | 9 Aug → | ||
| 13–2 | 0.01 | 6% | 8 Aug → | ||
| 13–3 | -0.02 | 33% | 8 Aug → | ||
| 11–13 | 0.06 | 41% | 8 Aug → | ||
| 11–13 | -0.03 | 37% | 8 Aug → | ||
| 13–7 | 0.04 | 27% | 7 Aug → | ||
| 13–8 | 0.06 | 42% | 7 Aug → | ||
| 22–20 | 0.01 | 33% | 1 Aug → | ||
| 14–16 | 0.02 | 33% | 26 Jun → | ||
| 12–16 | 0.02 | 35% | 26 Jun → | ||
| 16–14 | -0.01 | 38% | 26 Jun → | ||
| 13–6 | 0.07 | 23% | 25 Jun → | ||
| 13–6 | -0.03 | 38% | 25 Jun → | ||
| 14–16 | 0.04 | 19% | 25 Jun → | ||
| 11–13 | 0.06 | 32% | 24 Jun → | ||
| 11–13 | 0.04 | 24% | 24 Jun → | ||
| 13–6 | 0.05 | 21% | 23 Jun → | ||
| 13–10 | 0.07 | 35% | 23 Jun → | ||
| 11–13 | -0.03 | 42% | 23 Jun → | ||
| 6–13 | -0.04 | 38% | 19 Jun → | ||
| 7–13 | -0.01 | 25% | 19 Jun → | ||
| 13–11 | 0.04 | 24% | 19 Jun → | ||
| 11–13 | -0.03 | 29% | 16 Jun → | ||
| 13–6 | 0.07 | 36% | 16 Jun → | ||
| 13–9 | 0.05 | 20% | 16 Jun → | ||
| 11–13 | -0.00 | 44% | 23 May → | ||
| 16–19 | 0.01 | 38% | 23 May → | ||
| 0–13 | -0.09 | 14% | 22 May → | ||
| 9–13 | -0.02 | 38% | 22 May → | ||
| 13–3 | 0.06 | 23% | 22 May → | ||
| 6–13 | -0.04 | 19% | 19 May → | ||
| 7–13 | -0.04 | 19% | 19 May → | ||
| 13–6 | 0.04 | 60% | 15 May → | ||
| 13–7 | 0.02 | 19% | 15 May → | ||
| 16–14 | 0.04 | 26% | 12 May → | ||
| 8–13 | -0.05 | 47% | 12 May → | ||
| 13–8 | 0.00 | 19% | 12 May → | ||
| 9–13 | -0.06 | 7% | 10 May → | ||
| 3–13 | -0.12 | 50% | 10 May → | ||
| 13–8 | 0.01 | 29% | 8 May → | ||
| 13–2 | 0.01 | 50% | 8 May → | ||
| 13–1 | -0.01 | 20% | 21 Apr → | ||
| 13–6 | 0.07 | 11% | 20 Apr → | ||
| 13–7 | -0.03 | 23% | 20 Apr → | ||
| 9–13 | 0.01 | 52% | 20 Apr → | ||
| 3–13 | 0.01 | 33% | 18 Apr → | ||
| 9–13 | 0.10 | 42% | 18 Apr → | ||
| 13–11 | 0.12 | 19% | 18 Apr → | ||
| 13–6 | 0.10 | 27% | 18 Apr → | ||
| 13–6 | 0.09 | 18% | 15 Apr → | ||
| 13–5 | 0.06 | 38% | 12 Apr → | ||
| 9–13 | -0.08 | 42% | 1 Apr → | ||
| 14–16 | 0.02 | 33% | 1 Apr → | ||
| 13–10 | 0.06 | 44% | 31 Mar → | ||
| 13–10 | -0.03 | 50% | 31 Mar → | ||
| 13–8 | 0.04 | 27% | 31 Mar → | ||
| 9–13 | -0.03 | 38% | 31 Mar → | ||
| 13–10 | 0.06 | 39% | 31 Mar → | ||
| 4–13 | -0.01 | 33% | 31 Mar → | ||
| 7–13 | -0.02 | 33% | 31 Mar → | ||
| 13–7 | 0.03 | 50% | 30 Mar → | ||
| 14–16 | 0.02 | 27% | 30 Mar → | ||
| 13–11 | 0.09 | 24% | 29 Mar → | ||
| 13–2 | 0.04 | 8% | 29 Mar → | ||
| 13–7 | -0.03 | 19% | 26 Mar → | ||
| 2–13 | -0.04 | 33% | 25 Mar → | ||
| 7–13 | 0.01 | 31% | 25 Mar → | ||
| 7–13 | -0.00 | 40% | 15 Mar → | ||
| 9–13 | -0.04 | 38% | 15 Mar → | ||
| 13–9 | -0.05 | 44% | 15 Mar → | ||
| 13–6 | 0.03 | 30% | 15 Mar → | ||
| 13–7 | 0.06 | 32% | 14 Mar → | ||
| 13–11 | 0.08 | 24% | 14 Mar → | ||
| 13–8 | -0.02 | 23% | 14 Mar → | ||
| 13–11 | -0.04 | 18% | 14 Mar → | ||
| 5–13 | -0.07 | 31% | 14 Mar → | ||
| 11–13 | -0.00 | 46% | 10 Mar → | ||
| 13–4 | -0.02 | 35% | 10 Mar → | ||
| 3–13 | -0.04 | 46% | 10 Mar → | ||
| 9–13 | 0.00 | 33% | 9 Mar → | ||
| 5–13 | -0.02 | 36% | 9 Mar → | ||
| 3–13 | -0.02 | 29% | 8 Mar → | ||
| 3–13 | -0.02 | 29% | 8 Mar → | ||
| 13–5 | -0.05 | 15% | 8 Mar → | ||
| 13–5 | -0.05 | 15% | 8 Mar → | ||
| 13–6 | 0.03 | 50% | 8 Mar → | ||
| 13–6 | 0.03 | 50% | 8 Mar → | ||
| 4–13 | -0.01 | 44% | 8 Mar → | ||
| 4–13 | -0.01 | 44% | 8 Mar → | ||
| 11–13 | 0.00 | 30% | 8 Mar → |
Match data via Leetify.