Squirt — CS2 Stats
US76561199502052387[U:1:1541786659]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 2,247
- Next: 2,500 ELO at 2,500 — 253 to go
- Reached: Level 10 · Level 9 · Level 8 · Level 7
- Level 10 first seen 2026-08-28
- Level 9 first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 Twistzz 89% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower utility contribution; 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. 605ms 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 6.4/10 (Solid), 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% | 0.03 | |
| A | 16 | 10–6 | 63% | 0.02 | |
| A | 14 | 9–5 | 64% | 0.03 | |
| S | 10 | 7–3 | 70% | 0.04 | |
| D | 7 | 1–6 | 14% | -0.05 | |
| S | 7 | 5–2 | 71% | 0.01 | |
| S | 6 | 5–1 | 83% | 0.06 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| — | 2 | 1–1 | 50% | 0.08 | |
| — | 1 | 1–0 | 100% | 0.05 | |
| office | — | 1 | 0–1 | 0% | -0.00 |
| golden | — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 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 resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 686 | 53% | 1.18 | 16.9 |
| Ancient | 322 | 51% | 1.10 | 16.9 |
| Dust2 | 126 | 43% | 0.98 | 15.8 |
| Anubis | 123 | 50% | 1.02 | 15.8 |
| Nuke | 119 | 56% | 1.16 | 17.5 |
| Inferno | 113 | 57% | 1.15 | 17.3 |
| Vertigo | 65 | 51% | 1.25 | 19.6 |
| Overpass | 58 | 47% | 1.20 | 17.9 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.04 | 12% | 25 Aug → | ||
| 13–4 | 0.01 | 20% | 20 Aug → | ||
| 13–8 | -0.02 | 15% | 19 Aug → | ||
| 5–13 | 0.09 | 19% | 18 Aug → | ||
| 13–1 | 0.04 | 19% | 18 Aug → | ||
| 8–13 | -0.01 | 18% | 10 Aug → | ||
| 7–13 | 0.00 | 16% | 9 Aug → | ||
| 13–7 | -0.00 | 18% | 4 Aug → | ||
| 13–5 | 0.07 | 27% | 3 Aug → | ||
| 13–2 | 0.08 | 16% | 3 Aug → | ||
| 13–10 | 0.09 | 29% | 3 Aug → | ||
| 13–7 | 0.10 | 11% | 1 Aug → | ||
| 13–8 | 0.02 | 13% | 13 Jul → | ||
| 5–13 | -0.01 | 18% | 10 Jul → | ||
| 13–10 | 0.00 | 18% | 6 Jul → | ||
| 13–8 | 0.02 | 9% | 6 Jul → | ||
| 16–19 | 0.01 | 15% | 5 Jul → | ||
| 13–11 | 0.03 | 13% | 1 Jul → | ||
| 13–8 | 0.03 | 15% | 1 Jul → | ||
| 13–6 | 0.02 | 16% | 1 Jul → | ||
| 13–3 | -0.02 | 13% | 30 Jun → | ||
| 13–8 | -0.03 | 16% | 27 Jun → | ||
| 5–13 | -0.11 | 19% | 25 Jun → | ||
| 13–10 | -0.02 | 33% | 23 Jun → | ||
| 13–10 | -0.02 | 16% | 19 Jun → | ||
| 13–6 | 0.13 | 21% | 18 Jun → | ||
| 19–16 | 0.02 | 24% | 12 Jun → | ||
| 13–8 | 0.03 | 23% | 9 Jun → | ||
| 8–13 | -0.03 | 28% | 5 Jun → | ||
| 13–10 | 0.07 | 33% | 3 Jun → | ||
| 16–19 | 0.02 | 22% | 18 May → | ||
| 13–1 | 0.09 | 14% | 18 May → | ||
| 13–10 | 0.02 | 14% | 17 May → | ||
| 12–16 | -0.02 | 24% | 15 May → | ||
| 13–6 | 0.01 | 14% | 15 May → | ||
| 13–8 | 0.01 | 12% | 11 May → | ||
| 13–2 | 0.15 | 14% | 9 May → | ||
| 5–13 | -0.04 | 7% | 7 May → | ||
| 13–6 | 0.07 | 18% | 23 Apr → | ||
| 13–10 | 0.07 | 22% | 22 Apr → | ||
| 9–13 | -0.02 | 29% | 21 Apr → | ||
| 13–5 | 0.05 | 28% | 19 Apr → | ||
| 12–16 | 0.05 | 20% | 14 Apr → | ||
| 13–3 | 0.20 | 39% | 10 Apr → | ||
| 9–6 | 0.03 | 22% | 10 Apr → | ||
| 10–13 | 0.02 | 23% | 8 Apr → | ||
| 8–13 | -0.04 | 13% | 6 Apr → | ||
| 13–10 | 0.03 | 16% | 3 Apr → | ||
| 6–13 | -0.01 | 16% | 3 Apr → | ||
| 8–13 | 0.01 | 17% | 2 Apr → | ||
| 13–10 | -0.02 | 14% | 2 Apr → | ||
| 9–1 | 0.30 | 26% | 28 Mar → | ||
| 13–8 | 0.01 | 28% | 19 Mar → | ||
| 8–13 | -0.04 | 12% | 18 Mar → | ||
| 8–13 | -0.03 | 21% | 17 Mar → | ||
| 11–13 | -0.02 | 22% | 13 Mar → | ||
| 8–13 | 0.10 | 27% | 12 Mar → | ||
| 4–13 | -0.04 | 25% | 4 Mar → | ||
| 11–13 | 0.00 | 29% | 28 Feb → | ||
| 13–8 | -0.04 | 23% | 28 Feb → | ||
| 13–10 | 0.02 | 16% | 26 Feb → | ||
| 13–16 | -0.03 | 10% | 15 Feb → | ||
| 10–13 | -0.02 | 19% | 11 Feb → | ||
| 10–13 | -0.02 | 25% | 30 Jan → | ||
| 13–10 | -0.02 | 23% | 30 Jan → | ||
| 13–10 | -0.05 | 8% | 26 Jan → | ||
| 9–13 | 0.01 | 22% | 19 Jan → | ||
| 13–10 | 0.08 | 15% | 31 Dec → | ||
| 6–2 | -0.05 | 15% | 31 Dec → | ||
| 13–3 | 0.05 | 16% | 31 Dec → | ||
| 13–10 | 0.05 | 18% | 30 Dec → | ||
| 13–7 | 0.00 | 13% | 30 Dec → | ||
| 8–13 | 0.01 | 20% | 30 Dec → | ||
| 13–11 | -0.02 | 23% | 30 Dec → | ||
| 13–2 | 0.02 | 22% | 26 Dec → | ||
| 13–10 | 0.05 | 32% | 26 Dec → | ||
| 13–2 | 0.21 | 12% | 26 Dec → | ||
| 13–2 | 0.03 | 13% | 26 Dec → | ||
| 7–12 | 0.01 | 15% | 24 Dec → | ||
| 13–10 | 0.01 | 19% | 23 Dec → | ||
| 13–5 | 0.11 | 18% | 22 Dec → | ||
| 7–13 | -0.01 | 16% | 6 Dec → | ||
| 19–17 | 0.03 | 18% | 4 Dec → | ||
| 3–13 | -0.12 | 29% | 1 Dec → | ||
| 5–13 | -0.02 | 39% | 29 Nov → | ||
| 13–10 | 0.06 | 19% | 29 Nov → | ||
| 6–13 | -0.00 | 15% | 29 Nov → | ||
| office | 5–13 | -0.00 | 14% | 26 Nov → | |
| 13–4 | 0.13 | 37% | 26 Nov → | ||
| golden | 13–9 | 0.00 | 9% | 26 Nov → | |
| 13–7 | 0.01 | 25% | 21 Nov → | ||
| 10–13 | -0.04 | 19% | 20 Nov → | ||
| 10–13 | -0.05 | 28% | 18 Nov → | ||
| 13–5 | 0.09 | 24% | 6 Nov → | ||
| 8–13 | -0.06 | 20% | 29 Oct → | ||
| 13–10 | 0.06 | 18% | 25 Oct → | ||
| 8–13 | 0.06 | 16% | 21 Oct → | ||
| 10–13 | 0.07 | 12% | 21 Oct → | ||
| 13–8 | 0.10 | 22% | 18 Oct → | ||
| 10–13 | 0.01 | 11% | 12 Oct → |
Match data via Leetify.