Kobra — CS2 Stats
SE76561198253428447[U:1:293162719]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 2,745
- Next: 3,000 ELO at 3,000 — 255 to go
- Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
- 2,500 ELO first seen 2026-08-28
- Level 10 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: -20pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side openerLimited 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 93% 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 91 — the mechanical foundation is a clear strength.
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
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 39% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 597ms 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 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| S | 27 | 18–9 | 67% | 0.02 | |
| B | 17 | 9–8 | 53% | 0.01 | |
| S | 16 | 12–4 | 75% | 0.03 | |
| B | 14 | 7–7 | 50% | 0.00 | |
| B | 6 | 3–3 | 50% | 0.03 | |
| S | 6 | 4–2 | 67% | 0.04 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| office | — | 2 | 2–0 | 100% | 0.04 |
| shelter | — | 1 | 0–1 | 0% | 0.04 |
| boulder | — | 1 | 1–0 | 100% | 0.07 |
| warden | — | 1 | 1–0 | 100% | 0.06 |
| sanctum | — | 1 | 0–1 | 0% | -0.06 |
| poseidon | — | 1 | 0–1 | 0% | 0.05 |
| — | 1 | 0–1 | 0% | -0.03 | |
| alpine | — | 1 | 0–1 | 0% | 0.04 |
| stronghold | — | 1 | 1–0 | 100% | 0.06 |
| — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (50% over 14). Start with the 6 essential Nuke 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 73 | 53% | 1.27 | 18.6 |
| Ancient | 49 | 55% | 1.41 | 17.1 |
| Inferno | 45 | 64% | 1.43 | 15.3 |
| Dust2 | 32 | 38% | 1.12 | 16.0 |
| Nuke | 25 | 56% | 1.17 | 17.7 |
| Anubis | 14 | 50% | 1.37 | 18.9 |
| Vertigo | 9 | 56% | 1.34 | 19.4 |
| Overpass | 5 | 40% | 1.08 | 14.8 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 38.7755% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.14 | 36% | 10 Aug → | ||
| 8–13 | 0.03 | 29% | 28 Jul → | ||
| shelter | 5–13 | 0.04 | 36% | 20 Jul → | |
| boulder | 13–5 | 0.07 | 27% | 20 Jul → | |
| 3–13 | -0.02 | 18% | 18 Jul → | ||
| 13–10 | 0.06 | 41% | 18 Jul → | ||
| 13–11 | 0.02 | 20% | 12 Jul → | ||
| 13–7 | 0.02 | 29% | 6 Jul → | ||
| 7–13 | -0.03 | 26% | 6 Jul → | ||
| 13–10 | 0.10 | 37% | 6 Jul → | ||
| 13–1 | 0.02 | 37% | 6 Jul → | ||
| 13–8 | 0.04 | 36% | 5 Jul → | ||
| 13–1 | 0.06 | 42% | 5 Jul → | ||
| 13–7 | 0.04 | 30% | 28 Jun → | ||
| 13–9 | 0.02 | 32% | 28 Jun → | ||
| 13–4 | 0.05 | 39% | 25 Jun → | ||
| 13–11 | 0.02 | 23% | 25 Jun → | ||
| 6–13 | -0.06 | 21% | 25 Jun → | ||
| 13–6 | 0.09 | 27% | 23 Jun → | ||
| 11–13 | -0.01 | 28% | 9 Jun → | ||
| 13–8 | 0.00 | 21% | 9 Jun → | ||
| 15–15 | -0.01 | 16% | 4 Jun → | ||
| 13–10 | 0.05 | 38% | 4 Jun → | ||
| 13–2 | 0.07 | 34% | 4 Jun → | ||
| 13–2 | -0.01 | 18% | 19 May → | ||
| 13–9 | 0.10 | 22% | 19 May → | ||
| 7–13 | 0.02 | 42% | 17 May → | ||
| warden | 13–5 | 0.06 | 22% | 17 May → | |
| 11–13 | 0.14 | 42% | 17 May → | ||
| 13–8 | 0.03 | 38% | 17 May → | ||
| 13–6 | 0.03 | 34% | 14 May → | ||
| 10–13 | -0.05 | 44% | 14 May → | ||
| sanctum | 6–9 | -0.06 | 39% | 3 May → | |
| poseidon | 7–9 | 0.05 | 38% | 3 May → | |
| 13–10 | 0.03 | 23% | 3 May → | ||
| 13–7 | -0.01 | 17% | 1 May → | ||
| 13–11 | 0.06 | 22% | 28 Apr → | ||
| 7–13 | -0.01 | 36% | 28 Apr → | ||
| 7–13 | -0.06 | 36% | 23 Apr → | ||
| 5–5 | 0.09 | 35% | 23 Apr → | ||
| 13–8 | 0.00 | 30% | 21 Apr → | ||
| 10–13 | 0.03 | 45% | 21 Apr → | ||
| 13–8 | 0.08 | 23% | 12 Apr → | ||
| 6–13 | 0.04 | 24% | 10 Apr → | ||
| 7–13 | -0.03 | 23% | 10 Apr → | ||
| 13–1 | 0.09 | 36% | 9 Apr → | ||
| 16–14 | 0.04 | 22% | 9 Apr → | ||
| alpine | 10–13 | 0.04 | 48% | 7 Apr → | |
| stronghold | 13–6 | 0.06 | 36% | 7 Apr → | |
| 9–13 | 0.00 | 32% | 7 Apr → | ||
| 11–13 | -0.01 | 32% | 6 Apr → | ||
| 9–13 | 0.06 | 31% | 6 Apr → | ||
| 10–13 | -0.04 | 31% | 4 Apr → | ||
| 13–7 | 0.06 | 29% | 3 Apr → | ||
| 2–13 | -0.06 | 27% | 3 Apr → | ||
| 9–13 | -0.02 | 26% | 3 Apr → | ||
| 13–7 | 0.08 | 26% | 28 Mar → | ||
| 10–13 | -0.01 | 29% | 24 Mar → | ||
| 16–12 | 0.05 | 30% | 24 Mar → | ||
| 16–13 | -0.02 | 26% | 22 Mar → | ||
| 8–13 | -0.03 | 24% | 22 Mar → | ||
| 13–4 | 0.04 | 24% | 21 Mar → | ||
| 15–15 | -0.01 | 21% | 21 Mar → | ||
| 13–5 | 0.02 | 32% | 21 Mar → | ||
| office | 13–10 | 0.08 | 77% | 21 Mar → | |
| office | 13–11 | -0.00 | 28% | 21 Mar → | |
| 13–10 | -0.00 | 35% | 16 Mar → | ||
| 13–2 | -0.03 | 31% | 16 Mar → | ||
| 4–13 | -0.00 | 30% | 16 Mar → | ||
| 13–6 | 0.03 | 32% | 15 Mar → | ||
| 1–13 | -0.07 | 38% | 15 Mar → | ||
| 13–11 | 0.03 | 27% | 15 Mar → | ||
| 16–12 | -0.02 | 32% | 15 Mar → | ||
| 0–13 | 0.00 | 32% | 15 Mar → | ||
| 13–7 | 0.00 | 38% | 11 Mar → | ||
| 13–7 | 0.03 | 20% | 11 Mar → | ||
| 8–13 | 0.06 | 27% | 11 Mar → | ||
| 6–13 | 0.03 | 29% | 11 Mar → | ||
| 10–13 | 0.02 | 26% | 11 Mar → | ||
| 13–11 | -0.03 | 29% | 5 Mar → | ||
| 13–7 | -0.02 | 27% | 5 Mar → | ||
| 13–2 | 0.02 | 29% | 5 Mar → | ||
| 8–13 | 0.01 | 39% | 5 Mar → | ||
| 13–6 | -0.04 | 20% | 23 Feb → | ||
| 11–13 | 0.02 | 37% | 23 Feb → | ||
| 13–4 | 0.02 | 21% | 23 Feb → | ||
| 16–14 | -0.07 | 15% | 22 Feb → | ||
| 13–10 | 0.06 | 21% | 21 Feb → | ||
| 7–13 | -0.00 | 19% | 10 Feb → | ||
| 5–13 | 0.05 | 37% | 9 Feb → | ||
| 14–16 | 0.05 | 29% | 8 Feb → | ||
| 13–10 | 0.05 | 21% | 8 Feb → | ||
| 13–7 | -0.01 | 29% | 7 Feb → | ||
| 5–13 | 0.02 | 39% | 7 Feb → | ||
| 13–6 | 0.03 | 23% | 6 Feb → | ||
| 13–6 | 0.04 | 24% | 3 Feb → | ||
| 11–13 | -0.06 | 35% | 3 Feb → | ||
| 13–4 | -0.01 | 56% | 1 Feb → | ||
| 13–8 | 0.06 | 35% | 1 Feb → | ||
| 7–1 | 0.03 | 38% | 1 Feb → |
Match data via Leetify.