Crispie — CS2 Stats
76561198177448201[U:1:217182473]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.06 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafingStrong T-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 96% playstyle similarity
Most alike: opening-fight frequency, 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 88 — the mechanical foundation is a clear strength.
T openings. 66% T opening-duel success — entries that actually open the round.
Areas to improve
CT openings. Opening success drops from 66% on T to 50% on CT — first contacts on the defending side are being lost.
Reaction time. 563ms 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 7.3/10 (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 | 31 | 18–13 | 58% | 0.04 | |
| B | 20 | 10–10 | 50% | 0.04 | |
| S | 10 | 8–2 | 80% | 0.06 | |
| S | 10 | 8–2 | 80% | 0.05 | |
| B | 6 | 3–3 | 50% | 0.00 | |
| A | 5 | 3–2 | 60% | 0.04 | |
| A | 5 | 3–2 | 60% | 0.07 | |
| C | 5 | 2–3 | 40% | -0.00 | |
| C | 5 | 2–3 | 40% | 0.04 | |
| office | — | 1 | 1–0 | 100% | 0.12 |
| — | 1 | 0–1 | 0% | 0.06 | |
| jura | — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 10 | 60% | 2.11 | 22.2 |
| Dust2 | 6 | 67% | 1.81 | 23.2 |
| Ancient | 6 | 50% | 1.43 | 15.8 |
| Inferno | 4 | 100% | 2.11 | 22.5 |
| Nuke | 2 | 100% | 1.78 | 21.0 |
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.
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 | |
|---|---|---|---|---|---|
| 13–7 | 0.07 | 34% | 19 Jul → | ||
| 13–9 | 0.12 | 29% | 19 Jul → | ||
| 12–12 | 0.06 | 21% | 19 Jul → | ||
| 13–16 | 0.02 | 19% | 15 Jul → | ||
| office | 13–10 | 0.12 | 20% | 13 Jul → | |
| 13–7 | 0.03 | 17% | 6 Jul → | ||
| 7–13 | -0.02 | 27% | 6 Jul → | ||
| 13–8 | 0.12 | 19% | 5 Jul → | ||
| 3–13 | -0.02 | 13% | 4 Jul → | ||
| 13–5 | 0.02 | 33% | 1 Jul → | ||
| 2–13 | -0.04 | 11% | 1 Jul → | ||
| 6–13 | 0.01 | 26% | 1 Jul → | ||
| 9–13 | -0.02 | 23% | 1 Jul → | ||
| 3–13 | 0.02 | 36% | 23 Jun → | ||
| 9–13 | 0.01 | 26% | 22 Jun → | ||
| 13–11 | -0.03 | 21% | 22 Jun → | ||
| 10–13 | 0.01 | 25% | 22 Jun → | ||
| 10–13 | 0.01 | 16% | 21 Jun → | ||
| 13–4 | 0.01 | 24% | 7 May → | ||
| 3–13 | -0.03 | 40% | 7 May → | ||
| 13–9 | 0.08 | 13% | 3 May → | ||
| 13–4 | 0.02 | 17% | 30 Apr → | ||
| 0–7 | -0.10 | 0% | 23 Apr → | ||
| 9–13 | 0.03 | 18% | 23 Apr → | ||
| 13–10 | 0.09 | 40% | 5 Apr → | ||
| 3–13 | 0.10 | 29% | 4 Apr → | ||
| 10–13 | 0.06 | 15% | 11 Feb → | ||
| 13–6 | 0.03 | 18% | 11 Feb → | ||
| 14–16 | 0.07 | 11% | 8 Feb → | ||
| 5–13 | 0.04 | 22% | 4 Feb → | ||
| 3–13 | -0.02 | 26% | 4 Feb → | ||
| 8–13 | 0.01 | 25% | 28 Jan → | ||
| 13–9 | 0.06 | 16% | 23 Jan → | ||
| 13–5 | 0.14 | 19% | 23 Jan → | ||
| 13–7 | 0.14 | 16% | 23 Jan → | ||
| 2–2 | 0.06 | 22% | 22 Jan → | ||
| 13–1 | 0.16 | 33% | 21 Jan → | ||
| 13–2 | 0.17 | 22% | 18 Jan → | ||
| 13–1 | 0.07 | 18% | 18 Jan → | ||
| 3–13 | -0.06 | 29% | 14 Jan → | ||
| 4–13 | 0.00 | 17% | 14 Jan → | ||
| 6–13 | 0.08 | 36% | 14 Jan → | ||
| 13–3 | 0.12 | 12% | 13 Jan → | ||
| 8–13 | 0.08 | 17% | 12 Jan → | ||
| 13–5 | 0.02 | 33% | 8 Jan → | ||
| 13–4 | 0.01 | 10% | 8 Jan → | ||
| 12–1 | 0.09 | 13% | 7 Jan → | ||
| 13–7 | 0.11 | 33% | 7 Jan → | ||
| 13–9 | 0.07 | 36% | 28 Nov → | ||
| 7–13 | 0.09 | 33% | 23 Nov → | ||
| 13–9 | 0.09 | 29% | 19 Nov → | ||
| 13–11 | 0.07 | 19% | 17 Nov → | ||
| 13–7 | 0.08 | 29% | 3 Nov → | ||
| 13–10 | 0.02 | 26% | 3 Nov → | ||
| 13–2 | 0.15 | 37% | 1 Nov → | ||
| 10–13 | 0.01 | 18% | 24 Oct → | ||
| 10–13 | -0.02 | 29% | 3 Oct → | ||
| 8–13 | -0.04 | 29% | 11 Sept → | ||
| 10–13 | -0.01 | 22% | 10 Sept → | ||
| 13–5 | 0.10 | 33% | 5 Sept → | ||
| 4–13 | -0.03 | 38% | 28 Aug → | ||
| 13–9 | 0.04 | 25% | 26 Aug → | ||
| 3–13 | -0.10 | 21% | 25 Aug → | ||
| 3–7 | 0.12 | 37% | 25 Aug → | ||
| 7–13 | 0.04 | 39% | 25 Aug → | ||
| 2–13 | -0.03 | 67% | 23 Aug → | ||
| 13–9 | 0.04 | 23% | 18 Aug → | ||
| 13–5 | 0.04 | 19% | 15 Aug → | ||
| 13–9 | 0.10 | 33% | 6 Aug → | ||
| 13–6 | 0.02 | 22% | 6 Aug → | ||
| 13–5 | 0.11 | 29% | 3 Aug → | ||
| 13–10 | 0.06 | 17% | 25 Jul → | ||
| 2–0 | -0.08 | 0% | 25 Jul → | ||
| 13–10 | 0.06 | 26% | 24 Jul → | ||
| 13–4 | 0.05 | 33% | 11 Jul → | ||
| 12–6 | 0.07 | 36% | 11 Jul → | ||
| 7–13 | -0.05 | 24% | 11 Jul → | ||
| 9–13 | -0.01 | 18% | 11 Jul → | ||
| 13–11 | 0.02 | 24% | 10 Jul → | ||
| 13–1 | 0.01 | 17% | 10 Jul → | ||
| 13–9 | 0.02 | 22% | 4 Jul → | ||
| 13–3 | 0.09 | 19% | 4 Jul → | ||
| 13–10 | 0.00 | 32% | 4 Jul → | ||
| 9–13 | 0.05 | 51% | 1 Jul → | ||
| 13–11 | 0.08 | 56% | 26 Jun → | ||
| 13–11 | 0.04 | 40% | 24 Jun → | ||
| 13–10 | 0.03 | 24% | 18 Jun → | ||
| 4–13 | -0.05 | 35% | 17 Jun → | ||
| jura | 13–5 | -0.00 | 24% | 4 Jun → | |
| 16–14 | 0.02 | 32% | 30 May → | ||
| 13–3 | 0.07 | 26% | 30 May → | ||
| 13–5 | 0.03 | 32% | 20 May → | ||
| 7–3 | 0.00 | 19% | 20 May → | ||
| 13–1 | 0.16 | 21% | 10 May → | ||
| 13–5 | -0.01 | 37% | 8 May → | ||
| 16–12 | 0.04 | 22% | 7 May → | ||
| 13–8 | 0.10 | 18% | 2 May → | ||
| 9–13 | 0.03 | 29% | 26 Apr → | ||
| 13–7 | 0.02 | 32% | 26 Apr → | ||
| 7–13 | -0.02 | 32% | 13 Apr → |
Match data via Leetify.