PR1me — CS2 Stats
76561198830889766[U:1:870624038]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 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: opening-fight frequency, positioning 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
Strengths
Aim. Aim score of 95 — the mechanical foundation is a clear strength.
CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 68% on CT to 53% 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 8.6/10 (Elite), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 26 | 16–10 | 62% | 0.05 | |
| S | 20 | 15–5 | 75% | 0.05 | |
| B | 19 | 9–10 | 47% | 0.04 | |
| A | 12 | 7–5 | 58% | 0.02 | |
| S | 10 | 8–2 | 80% | 0.06 | |
| C | 7 | 3–4 | 43% | 0.04 | |
| — | 3 | 2–1 | 67% | 0.07 | |
| — | 2 | 1–1 | 50% | 0.07 | |
| office | — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 45 | 56% | 1.18 | 15.8 |
| Ancient | 26 | 73% | 1.10 | 14.3 |
| Inferno | 22 | 50% | 1.04 | 14.8 |
| Nuke | 16 | 75% | 1.30 | 16.8 |
| Dust2 | 15 | 67% | 1.32 | 15.9 |
| Overpass | 13 | 54% | 0.98 | 15.3 |
| Vertigo | 11 | 82% | 1.18 | 14.8 |
| Anubis | 7 | 57% | 1.14 | 13.1 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.06 | 18% | 26 Aug → | ||
| 13–0 | 0.05 | 13% | 26 Aug → | ||
| 13–4 | 0.03 | 12% | 26 Aug → | ||
| 13–9 | 0.22 | 20% | 25 Aug → | ||
| 13–10 | 0.04 | 20% | 24 Aug → | ||
| 13–8 | 0.16 | 15% | 24 Aug → | ||
| 0–2 | -0.09 | 100% | 17 Aug → | ||
| 16–12 | 0.02 | 11% | 17 Aug → | ||
| 0–13 | -0.01 | 18% | 16 Aug → | ||
| 13–11 | -0.01 | 19% | 15 Aug → | ||
| 13–9 | 0.01 | 26% | 13 Aug → | ||
| 11–13 | 0.07 | 28% | 12 Aug → | ||
| 13–9 | 0.02 | 16% | 12 Aug → | ||
| 13–4 | 0.10 | 30% | 12 Aug → | ||
| 4–0 | 0.11 | 100% | 12 Aug → | ||
| 13–8 | -0.02 | 9% | 12 Aug → | ||
| 0–4 | -0.08 | 0% | 12 Aug → | ||
| 16–14 | 0.07 | 13% | 12 Aug → | ||
| 13–3 | 0.12 | 14% | 12 Aug → | ||
| 13–10 | 0.04 | 17% | 11 Aug → | ||
| 11–13 | 0.12 | 12% | 11 Aug → | ||
| 13–4 | 0.04 | 9% | 9 Aug → | ||
| 13–9 | 0.00 | 20% | 5 Aug → | ||
| 13–10 | 0.05 | 19% | 5 Aug → | ||
| 9–2 | 0.10 | 29% | 5 Aug → | ||
| 13–6 | -0.02 | 14% | 5 Aug → | ||
| 11–13 | 0.13 | 27% | 5 Aug → | ||
| 13–8 | 0.29 | 16% | 4 Aug → | ||
| 13–7 | 0.13 | 20% | 4 Aug → | ||
| 13–4 | 0.07 | 22% | 4 Aug → | ||
| 10–13 | 0.06 | 22% | 3 Aug → | ||
| 13–4 | 0.13 | 23% | 3 Aug → | ||
| 13–11 | 0.15 | 19% | 29 Jul → | ||
| 11–13 | 0.10 | 10% | 29 Jul → | ||
| 13–4 | 0.17 | 18% | 29 Jul → | ||
| office | 6–13 | -0.09 | 14% | 29 Jul → | |
| 13–7 | 0.13 | 19% | 29 Jul → | ||
| 14–16 | 0.02 | 19% | 27 Jul → | ||
| 13–6 | 0.03 | 27% | 26 Jul → | ||
| 13–8 | 0.09 | 23% | 18 Jul → | ||
| 13–10 | 0.06 | 18% | 18 Jul → | ||
| 13–11 | 0.03 | 7% | 18 Jul → | ||
| 13–16 | 0.02 | 11% | 14 Jul → | ||
| 11–13 | 0.03 | 56% | 25 Jun → | ||
| 1–10 | -0.04 | 15% | 22 Jun → | ||
| 15–15 | 0.14 | 8% | 16 Apr → | ||
| 13–5 | 0.09 | 30% | 16 Apr → | ||
| 13–7 | 0.06 | 33% | 16 Apr → | ||
| 13–7 | 0.06 | 28% | 16 Apr → | ||
| 13–6 | 0.05 | 13% | 15 Apr → | ||
| 13–8 | 0.05 | 13% | 8 Apr → | ||
| 13–5 | 0.03 | 14% | 8 Apr → | ||
| 8–13 | 0.18 | 22% | 8 Apr → | ||
| 13–5 | 0.06 | 7% | 8 Apr → | ||
| 16–14 | 0.11 | 21% | 7 Apr → | ||
| 2–13 | 0.07 | 17% | 7 Apr → | ||
| 13–10 | 0.13 | 17% | 7 Apr → | ||
| 13–11 | 0.12 | 21% | 6 Apr → | ||
| 16–14 | 0.22 | 19% | 6 Apr → | ||
| 16–14 | 0.16 | 19% | 6 Apr → | ||
| 13–9 | 0.11 | 30% | 6 Apr → | ||
| 13–7 | 0.14 | 25% | 6 Apr → | ||
| 13–9 | 0.05 | 12% | 5 Apr → | ||
| 13–10 | 0.13 | 16% | 4 Apr → | ||
| 16–13 | 0.13 | 18% | 3 Apr → | ||
| 13–7 | 0.15 | 19% | 3 Apr → | ||
| 8–13 | 0.00 | 26% | 2 Apr → | ||
| 5–13 | -0.02 | 19% | 2 Apr → | ||
| 13–4 | 0.02 | 21% | 2 Apr → | ||
| 10–13 | 0.01 | 27% | 29 Mar → | ||
| 13–3 | 0.04 | 19% | 28 Mar → | ||
| 12–12 | 0.03 | 32% | 28 Mar → | ||
| 11–13 | -0.10 | 16% | 27 Mar → | ||
| 13–16 | -0.01 | 28% | 25 Mar → | ||
| 13–4 | 0.00 | 31% | 20 Mar → | ||
| 13–0 | 0.01 | 12% | 19 Mar → | ||
| 13–3 | 0.00 | 18% | 19 Mar → | ||
| 13–7 | 0.04 | 21% | 18 Mar → | ||
| 9–13 | 0.03 | 32% | 17 Mar → | ||
| 5–13 | -0.07 | 0% | 15 Mar → | ||
| 5–13 | -0.07 | 8% | 14 Mar → | ||
| 13–8 | -0.01 | 10% | 14 Mar → | ||
| 11–13 | 0.01 | 22% | 14 Mar → | ||
| 6–13 | -0.04 | 12% | 13 Mar → | ||
| 7–13 | -0.02 | 9% | 13 Mar → | ||
| 10–13 | -0.04 | 28% | 13 Mar → | ||
| 2–13 | -0.08 | 11% | 13 Mar → | ||
| 16–14 | 0.04 | 27% | 13 Mar → | ||
| 9–13 | -0.03 | 36% | 12 Mar → | ||
| 4–13 | -0.06 | 16% | 12 Mar → | ||
| 11–13 | -0.07 | 13% | 12 Mar → | ||
| 6–9 | -0.04 | 24% | 12 Mar → | ||
| 9–7 | -0.10 | 12% | 12 Mar → | ||
| 5–9 | -0.14 | 4% | 12 Mar → | ||
| 13–5 | -0.01 | 20% | 12 Mar → | ||
| 6–13 | -0.04 | 25% | 12 Mar → | ||
| 10–13 | -0.01 | 21% | 11 Mar → | ||
| 4–13 | -0.05 | 9% | 11 Mar → | ||
| 10–13 | -0.09 | 50% | 4 Mar → | ||
| 13–3 | 0.05 | 33% | 24 Feb → |
Match data via Leetify.