coltzera — CS2 Stats
76561198065721547[U:1:105455819]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 3,049
- Next: 3,500 ELO at 3,500 — 451 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
Premier CS Rating
- At peak — 29,884
- Next: Gold band at 30,000 — 116 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink 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.
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.
Effective flashes
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 94% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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
Strengths
CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Reaction time. 550ms 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 7.9/10 (Strong), 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 | 25 | 16–9 | 64% | 0.06 | |
| S | 19 | 17–2 | 89% | 0.07 | |
| A | 16 | 10–6 | 63% | 0.03 | |
| B | 13 | 7–6 | 54% | 0.05 | |
| A | 11 | 6–5 | 55% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.07 | |
| — | 4 | 1–3 | 25% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (54% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 228 | 54% | 1.37 | 19.5 |
| Ancient | 155 | 54% | 1.23 | 18.4 |
| Dust2 | 146 | 53% | 1.31 | 18.1 |
| Anubis | 91 | 63% | 1.32 | 19.0 |
| Nuke | 83 | 60% | 1.34 | 19.0 |
| Inferno | 81 | 59% | 1.28 | 17.9 |
| Overpass | 29 | 48% | 1.46 | 19.7 |
| Train | 23 | 61% | 1.32 | 19.7 |
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 | |
|---|---|---|---|---|---|
| 11–13 | 0.04 | 19% | 23 Aug → | ||
| 11–13 | 0.02 | 10% | 23 Aug → | ||
| 11–2 | 0.00 | 14% | 22 Aug → | ||
| 5–0 | -0.02 | 0% | 22 Aug → | ||
| 13–1 | 0.09 | 19% | 22 Aug → | ||
| 13–5 | 0.03 | 22% | 22 Aug → | ||
| 13–5 | 0.07 | 27% | 22 Aug → | ||
| 16–13 | 0.09 | 14% | 20 Aug → | ||
| 13–5 | 0.08 | 22% | 19 Aug → | ||
| 7–13 | 0.02 | 13% | 19 Aug → | ||
| 15–15 | 0.08 | 22% | 19 Aug → | ||
| 13–1 | 0.05 | 26% | 18 Aug → | ||
| 13–11 | 0.07 | 18% | 18 Aug → | ||
| 11–13 | 0.02 | 13% | 17 Aug → | ||
| 13–9 | -0.00 | 20% | 16 Aug → | ||
| 12–0 | -0.02 | 8% | 16 Aug → | ||
| 13–9 | 0.06 | 23% | 16 Aug → | ||
| 13–2 | 0.07 | 23% | 16 Aug → | ||
| 7–13 | 0.08 | 32% | 16 Aug → | ||
| 13–11 | 0.01 | 31% | 16 Aug → | ||
| 13–6 | 0.05 | 45% | 16 Aug → | ||
| 6–13 | 0.01 | 11% | 16 Aug → | ||
| 13–1 | 0.05 | 16% | 16 Aug → | ||
| 11–13 | -0.04 | 20% | 15 Aug → | ||
| 13–5 | 0.12 | 33% | 15 Aug → | ||
| 13–9 | 0.11 | 21% | 15 Aug → | ||
| 13–10 | 0.02 | 12% | 15 Aug → | ||
| 13–6 | 0.16 | 33% | 15 Aug → | ||
| 13–11 | -0.00 | 16% | 14 Aug → | ||
| 13–7 | 0.10 | 16% | 14 Aug → | ||
| 10–13 | -0.04 | 17% | 14 Aug → | ||
| 13–10 | 0.08 | 18% | 14 Aug → | ||
| 13–6 | 0.06 | 30% | 14 Aug → | ||
| 13–6 | 0.13 | 30% | 14 Aug → | ||
| 13–11 | 0.13 | 24% | 12 Aug → | ||
| 13–16 | 0.10 | 31% | 12 Aug → | ||
| 13–10 | 0.01 | 15% | 10 Aug → | ||
| 13–9 | 0.06 | 18% | 10 Aug → | ||
| 13–9 | 0.07 | 18% | 9 Aug → | ||
| 7–13 | 0.05 | 21% | 9 Aug → | ||
| 13–10 | 0.08 | 23% | 9 Aug → | ||
| 13–8 | 0.10 | 12% | 9 Aug → | ||
| 13–10 | 0.02 | 22% | 5 Aug → | ||
| 13–6 | 0.09 | 15% | 5 Aug → | ||
| 5–13 | 0.18 | 22% | 2 Aug → | ||
| 9–13 | -0.02 | 19% | 2 Aug → | ||
| 13–6 | 0.08 | 26% | 29 Jul → | ||
| 9–13 | 0.05 | 27% | 29 Jul → | ||
| 11–3 | 0.11 | 45% | 29 Jul → | ||
| 8–13 | 0.03 | 28% | 29 Jul → | ||
| 13–1 | 0.17 | 25% | 27 Jul → | ||
| 16–13 | 0.14 | 25% | 26 Jul → | ||
| 0–13 | -0.02 | 0% | 26 Jul → | ||
| 13–7 | 0.05 | 30% | 26 Jul → | ||
| 16–13 | 0.11 | 23% | 25 Jul → | ||
| 4–13 | -0.02 | 13% | 25 Jul → | ||
| 13–9 | 0.09 | 26% | 21 Jul → | ||
| 13–16 | 0.10 | 24% | 21 Jul → | ||
| 9–13 | 0.03 | 36% | 21 Jul → | ||
| 13–9 | 0.11 | 27% | 20 Jul → | ||
| 13–7 | 0.08 | 26% | 19 Jul → | ||
| 13–8 | 0.07 | 25% | 12 Jul → | ||
| 6–13 | -0.01 | 23% | 12 Jul → | ||
| 13–1 | 0.09 | 30% | 11 Jul → | ||
| 13–5 | 0.03 | 30% | 11 Jul → | ||
| 13–9 | 0.10 | 15% | 11 Jul → | ||
| 10–13 | -0.02 | 25% | 6 Jul → | ||
| 13–11 | 0.11 | 26% | 5 Jul → | ||
| 13–10 | 0.09 | 35% | 5 Jul → | ||
| 13–4 | 0.02 | 30% | 4 Jul → | ||
| 2–13 | -0.05 | 20% | 13 Jun → | ||
| 10–13 | 0.03 | 13% | 11 Jun → | ||
| 13–5 | 0.07 | 18% | 11 Jun → | ||
| 13–10 | -0.01 | 24% | 10 Jun → | ||
| 13–11 | 0.07 | 23% | 8 Jun → | ||
| 13–1 | 0.05 | 19% | 8 Jun → | ||
| 13–11 | 0.07 | 26% | 8 Jun → | ||
| 6–13 | 0.07 | 26% | 8 Jun → | ||
| 10–13 | 0.03 | 16% | 7 Jun → | ||
| 5–13 | 0.01 | 12% | 3 Jun → | ||
| 11–13 | 0.11 | 24% | 1 Jun → | ||
| 13–3 | 0.14 | 30% | 6 May → | ||
| 11–13 | -0.01 | 12% | 6 May → | ||
| 17–19 | 0.07 | 19% | 6 May → | ||
| 13–0 | 0.02 | 19% | 5 May → | ||
| 13–6 | 0.03 | 27% | 4 May → | ||
| 16–13 | 0.07 | 16% | 1 May → | ||
| 7–13 | 0.01 | 25% | 29 Apr → | ||
| 13–7 | -0.03 | 15% | 29 Apr → | ||
| 6–13 | -0.00 | 18% | 29 Apr → | ||
| 1–13 | -0.09 | 8% | 25 Apr → | ||
| 13–8 | 0.12 | 20% | 23 Apr → | ||
| 8–13 | -0.01 | 17% | 22 Apr → | ||
| 5–13 | -0.01 | 7% | 22 Apr → | ||
| 13–7 | 0.07 | 13% | 20 Apr → | ||
| 10–13 | 0.04 | 13% | 15 Apr → | ||
| 11–13 | -0.03 | 18% | 14 Apr → | ||
| 13–11 | 0.02 | 19% | 14 Apr → | ||
| 16–13 | 0.03 | 18% | 13 Apr → | ||
| 5–13 | -0.04 | 17% | 13 Apr → |
Match data via Leetify.