criiim — CS2 Stats
76561199057390520[U:1:1097124792]✓ No bans
Rating over time
Premier CS Rating
- At peak — 17,167
- Next: Pink band at 20,000 — 2,833 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingLimited utility dependence
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 sh1ro 94% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution.
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 92 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.1/10 (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 |
|---|---|---|---|---|---|
| B | 26 | 13–13 | 50% | 0.03 | |
| A | 21 | 13–8 | 62% | 0.03 | |
| S | 20 | 13–7 | 65% | 0.06 | |
| C | 9 | 4–5 | 44% | 0.04 | |
| D | 9 | 3–6 | 33% | 0.03 | |
| A | 7 | 4–3 | 57% | 0.04 | |
| D | 6 | 2–4 | 33% | 0.06 | |
| — | 2 | 1–1 | 50% | 0.08 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 10 | 60% | 1.51 | 17.3 |
| Mirage | 8 | 50% | 1.30 | 16.6 |
| Ancient | 7 | 43% | 1.56 | 18.0 |
| Inferno | 7 | 43% | 1.47 | 17.4 |
| Cache | 5 | 80% | 1.40 | 19.2 |
| Anubis | 5 | 20% | 1.54 | 25.8 |
| Vertigo | 2 | 50% | 1.57 | 21.0 |
| Nuke | 2 | 100% | 2.16 | 22.0 |
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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.17 | 28% | 23 Aug → | ||
| 12–16 | 0.04 | 35% | 23 Aug → | ||
| 13–9 | 0.09 | 28% | 23 Aug → | ||
| 13–2 | 0.07 | 44% | 22 Aug → | ||
| 13–7 | 0.05 | 33% | 22 Aug → | ||
| 8–13 | -0.03 | 33% | 22 Aug → | ||
| 11–13 | -0.04 | 25% | 22 Aug → | ||
| 5–13 | 0.02 | 34% | 18 Aug → | ||
| 11–13 | -0.02 | 29% | 17 Aug → | ||
| 13–4 | -0.00 | 21% | 17 Aug → | ||
| 5–13 | 0.08 | 27% | 17 Aug → | ||
| 14–16 | 0.09 | 32% | 17 Aug → | ||
| 13–7 | -0.00 | 29% | 17 Aug → | ||
| 9–13 | 0.05 | 21% | 17 Aug → | ||
| 9–13 | 0.00 | 28% | 16 Aug → | ||
| 13–10 | 0.04 | 28% | 15 Aug → | ||
| 13–7 | 0.09 | 33% | 15 Aug → | ||
| 11–13 | 0.11 | 25% | 15 Aug → | ||
| 13–11 | 0.03 | 40% | 15 Aug → | ||
| 9–13 | 0.00 | 18% | 15 Aug → | ||
| 13–6 | 0.02 | 21% | 11 Aug → | ||
| 17–19 | 0.07 | 30% | 10 Aug → | ||
| 13–11 | 0.10 | 25% | 10 Aug → | ||
| 8–13 | 0.03 | 32% | 10 Aug → | ||
| 13–7 | 0.10 | 21% | 10 Aug → | ||
| 5–13 | -0.02 | 42% | 10 Aug → | ||
| 13–11 | 0.03 | 19% | 10 Aug → | ||
| 13–11 | 0.01 | 23% | 9 Aug → | ||
| 2–13 | -0.06 | 6% | 8 Aug → | ||
| 11–13 | -0.05 | 24% | 8 Aug → | ||
| 13–11 | 0.03 | 39% | 7 Aug → | ||
| 13–4 | 0.11 | 20% | 7 Aug → | ||
| 13–7 | 0.13 | 38% | 7 Aug → | ||
| 11–13 | -0.00 | 35% | 7 Aug → | ||
| 11–0 | 0.09 | 34% | 6 Aug → | ||
| 13–16 | 0.04 | 16% | 6 Aug → | ||
| 5–13 | 0.04 | 30% | 6 Aug → | ||
| 3–13 | -0.03 | 20% | 6 Aug → | ||
| 12–0 | 0.05 | 20% | 5 Aug → | ||
| 6–13 | 0.03 | 33% | 5 Aug → | ||
| 13–8 | 0.09 | 27% | 5 Aug → | ||
| 13–5 | 0.05 | 17% | 5 Aug → | ||
| 6–13 | 0.02 | 26% | 5 Aug → | ||
| 16–14 | 0.10 | 32% | 3 Aug → | ||
| 13–7 | 0.02 | 44% | 3 Aug → | ||
| 13–5 | 0.06 | 28% | 3 Aug → | ||
| 8–13 | -0.09 | 25% | 3 Aug → | ||
| 8–13 | 0.00 | 32% | 3 Aug → | ||
| 0–11 | -0.03 | 38% | 3 Aug → | ||
| 13–7 | 0.01 | 12% | 2 Aug → | ||
| 9–13 | 0.07 | 39% | 2 Aug → | ||
| 16–14 | 0.09 | 32% | 2 Aug → | ||
| 13–2 | 0.03 | 35% | 2 Aug → | ||
| 11–1 | -0.03 | 29% | 2 Aug → | ||
| 6–13 | -0.02 | 36% | 2 Aug → | ||
| 13–3 | 0.09 | 38% | 1 Aug → | ||
| 13–5 | 0.05 | 33% | 1 Aug → | ||
| 6–13 | 0.04 | 34% | 1 Aug → | ||
| 13–9 | 0.03 | 29% | 31 Jul → | ||
| 11–13 | 0.08 | 22% | 31 Jul → | ||
| 13–7 | 0.11 | 24% | 31 Jul → | ||
| 9–13 | 0.01 | 15% | 30 Jul → | ||
| 13–3 | 0.01 | 30% | 30 Jul → | ||
| 13–1 | 0.21 | 40% | 30 Jul → | ||
| 13–7 | 0.09 | 45% | 29 Jul → | ||
| 13–6 | 0.18 | 35% | 29 Jul → | ||
| 13–8 | 0.05 | 38% | 29 Jul → | ||
| 9–13 | 0.12 | 22% | 28 Jul → | ||
| 9–13 | -0.00 | 40% | 28 Jul → | ||
| 13–11 | 0.01 | 33% | 28 Jul → | ||
| 0–13 | -0.05 | 0% | 28 Jul → | ||
| 13–3 | 0.17 | 35% | 27 Jul → | ||
| 13–10 | 0.04 | 29% | 27 Jul → | ||
| 13–3 | 0.16 | 33% | 26 Jul → | ||
| 13–0 | 0.09 | 39% | 26 Jul → | ||
| 0–13 | -0.02 | 100% | 24 Jul → | ||
| 13–7 | 0.05 | 31% | 24 Jul → | ||
| 13–10 | 0.14 | 47% | 24 Jul → | ||
| 2–12 | 0.04 | 19% | 23 Jul → | ||
| 13–4 | 0.22 | 41% | 23 Jul → | ||
| 12–12 | 0.07 | 29% | 1 Jul → | ||
| 1–7 | 0.03 | 0% | 5 Aug → | ||
| 10–13 | 0.02 | 19% | 5 Aug → | ||
| 12–12 | 0.03 | 38% | 1 Jul → | ||
| 7–13 | -0.03 | 22% | 29 Jun → | ||
| 13–11 | 0.03 | 30% | 29 Jun → | ||
| 4–11 | -0.03 | 46% | 26 Jun → | ||
| 13–8 | 0.03 | 20% | 26 Jun → | ||
| 5–13 | -0.06 | 70% | 26 Apr → | ||
| 2–4 | 0.00 | 33% | 19 Apr → | ||
| 13–8 | 0.05 | 59% | 7 Apr → | ||
| 13–8 | 0.08 | 23% | 6 Apr → | ||
| 13–11 | -0.03 | 25% | 5 Apr → | ||
| 13–5 | -0.02 | 22% | 1 Apr → | ||
| 2–10 | -0.06 | 17% | 30 Mar → | ||
| 13–8 | -0.01 | 46% | 18 Jan → | ||
| 5–9 | -0.08 | 28% | 13 Jan → | ||
| 7–13 | 0.07 | 67% | 21 Dec → | ||
| 9–4 | 0.13 | 23% | 21 Dec → | ||
| 1–5 | -0.00 | 57% | 20 Dec → |
Match data via Leetify.