ezka — CS2 Stats
76561198999026197[U:1:1038760469]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 2,050
- Next: 2,500 ELO at 2,500 — 450 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
Premier CS Rating
- At peak — 24,313
- Next: Red band at 25,000 — 687 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-28
- Purple 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: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited 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 b1t 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 585ms 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 (×1.02 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 | 23 | 15–8 | 65% | 0.02 | |
| D | 22 | 7–15 | 32% | -0.00 | |
| C | 14 | 5–9 | 36% | -0.02 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| S | 8 | 6–2 | 75% | 0.00 | |
| A | 5 | 3–2 | 60% | 0.05 | |
| — | 4 | 2–2 | 50% | -0.05 | |
| — | 3 | 3–0 | 100% | 0.09 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 2 | 2–0 | 100% | -0.01 | |
| debris | — | 1 | 0–1 | 0% | 0.07 |
| eldorado | — | 1 | 1–0 | 100% | 0.12 |
| poseidon | — | 1 | 1–0 | 100% | 0.02 |
| boulder | — | 1 | 1–0 | 100% | 0.21 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 286 | 52% | 1.09 | 16.1 |
| Ancient | 141 | 59% | 1.16 | 17.1 |
| Nuke | 105 | 54% | 0.96 | 15.4 |
| Anubis | 100 | 46% | 0.97 | 15.6 |
| Dust2 | 98 | 56% | 1.08 | 16.1 |
| Inferno | 58 | 55% | 1.10 | 16.4 |
| Vertigo | 41 | 54% | 1.16 | 18.8 |
| Train | 31 | 58% | 1.13 | 16.1 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4168 — below the 0.5 mark we flag
- 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 39.6154% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.04 | 9% | 28 Aug → | ||
| 7–13 | -0.05 | 11% | 28 Aug → | ||
| 13–11 | 0.03 | 14% | 23 Aug → | ||
| 12–12 | 0.05 | 14% | 22 Aug → | ||
| 7–0 | 0.09 | 25% | 18 Aug → | ||
| 13–6 | 0.02 | 11% | 18 Aug → | ||
| 6–13 | -0.01 | 27% | 16 Aug → | ||
| 13–8 | -0.03 | 32% | 16 Aug → | ||
| 0–13 | -0.05 | 33% | 16 Aug → | ||
| 3–13 | -0.06 | 3% | 16 Aug → | ||
| 0–13 | -0.10 | 0% | 16 Aug → | ||
| 10–2 | 0.05 | 27% | 16 Aug → | ||
| 5–13 | -0.01 | 6% | 16 Aug → | ||
| 13–10 | 0.00 | 14% | 16 Aug → | ||
| 13–8 | 0.01 | 24% | 15 Aug → | ||
| 13–7 | 0.07 | 30% | 15 Aug → | ||
| 10–13 | 0.08 | 25% | 15 Aug → | ||
| 13–4 | 0.07 | 14% | 15 Aug → | ||
| 5–9 | -0.07 | 32% | 15 Aug → | ||
| 9–13 | 0.03 | 23% | 15 Aug → | ||
| 7–13 | 0.00 | 8% | 14 Aug → | ||
| 13–7 | 0.05 | 27% | 14 Aug → | ||
| 13–16 | 0.03 | 21% | 14 Aug → | ||
| 0–13 | -0.05 | 4% | 14 Aug → | ||
| 9–7 | 0.11 | 11% | 13 Aug → | ||
| 7–13 | -0.06 | 13% | 12 Aug → | ||
| 12–16 | -0.01 | 37% | 10 Aug → | ||
| debris | 5–9 | 0.07 | 10% | 9 Aug → | |
| eldorado | 9–5 | 0.12 | 21% | 9 Aug → | |
| poseidon | 9–6 | 0.02 | 22% | 9 Aug → | |
| 9–7 | 0.13 | 24% | 9 Aug → | ||
| 7–13 | -0.07 | 47% | 8 Aug → | ||
| 13–6 | 0.04 | 16% | 8 Aug → | ||
| 13–10 | 0.05 | 20% | 8 Aug → | ||
| 13–7 | -0.11 | 13% | 7 Aug → | ||
| 13–8 | 0.04 | 19% | 6 Aug → | ||
| 13–8 | -0.00 | 16% | 5 Aug → | ||
| 2–13 | -0.07 | 16% | 4 Aug → | ||
| 16–12 | 0.00 | 15% | 4 Aug → | ||
| 13–2 | 0.04 | 15% | 4 Aug → | ||
| boulder | 13–2 | 0.21 | 17% | 4 Aug → | |
| 13–10 | 0.08 | 25% | 4 Aug → | ||
| 4–13 | -0.11 | 11% | 4 Aug → | ||
| 13–8 | -0.00 | 20% | 4 Aug → | ||
| 13–11 | -0.06 | 15% | 3 Aug → | ||
| 8–13 | -0.01 | 27% | 3 Aug → | ||
| 13–6 | 0.09 | 30% | 3 Aug → | ||
| 1–5 | -0.07 | 43% | 3 Aug → | ||
| 13–2 | 0.08 | 14% | 3 Aug → | ||
| 1–5 | -0.01 | 16% | 2 Aug → | ||
| 13–6 | 0.07 | 13% | 2 Aug → | ||
| 13–1 | 0.11 | 10% | 2 Aug → | ||
| 13–7 | 0.06 | 33% | 2 Aug → | ||
| 5–13 | -0.03 | 16% | 31 Jul → | ||
| 13–7 | 0.03 | 18% | 31 Jul → | ||
| 13–6 | 0.12 | 21% | 31 Jul → | ||
| 13–8 | 0.07 | 7% | 30 Jul → | ||
| 5–13 | -0.02 | 15% | 29 Jul → | ||
| 16–12 | -0.02 | 23% | 27 Jul → | ||
| 10–13 | -0.03 | 15% | 27 Jul → | ||
| 8–13 | -0.01 | 13% | 26 Jul → | ||
| 13–9 | -0.04 | 19% | 24 Jul → | ||
| 11–13 | -0.00 | 26% | 24 Jul → | ||
| 6–13 | -0.04 | 37% | 24 Jul → | ||
| 6–13 | 0.01 | 18% | 21 Jul → | ||
| 13–5 | 0.03 | 18% | 19 Jul → | ||
| 16–13 | -0.03 | 11% | 19 Jul → | ||
| 13–11 | -0.01 | 13% | 15 Jul → | ||
| 10–13 | -0.07 | 14% | 13 Jul → | ||
| 11–13 | -0.07 | 17% | 9 Jul → | ||
| 15–15 | -0.02 | 17% | 9 Jul → | ||
| 6–13 | -0.00 | 15% | 8 Jul → | ||
| 13–8 | -0.04 | 9% | 6 Jul → | ||
| 13–4 | 0.00 | 17% | 13 Jun → | ||
| 8–13 | 0.03 | 12% | 22 May → | ||
| 6–13 | -0.05 | 16% | 22 May → | ||
| 10–13 | -0.03 | 20% | 14 May → | ||
| 9–13 | 0.02 | 29% | 9 May → | ||
| 13–6 | -0.02 | 21% | 9 May → | ||
| 13–6 | 0.07 | 24% | 8 May → | ||
| 13–3 | 0.01 | 21% | 8 May → | ||
| 5–6 | -0.12 | 27% | 8 May → | ||
| 6–13 | -0.01 | 8% | 2 May → | ||
| 13–10 | 0.04 | 18% | 2 May → | ||
| 7–1 | 0.04 | 27% | 2 May → | ||
| 5–13 | -0.04 | 19% | 1 May → | ||
| 13–4 | 0.09 | 13% | 1 May → | ||
| 10–13 | 0.06 | 14% | 30 Apr → | ||
| 10–13 | -0.08 | 12% | 30 Apr → | ||
| 9–13 | -0.02 | 25% | 30 Apr → | ||
| 13–9 | 0.02 | 26% | 30 Apr → | ||
| 12–12 | 0.00 | 27% | 30 Apr → | ||
| 13–9 | -0.05 | 26% | 28 Apr → | ||
| 12–16 | -0.00 | 16% | 28 Apr → | ||
| 13–2 | 0.06 | 19% | 27 Apr → | ||
| 13–5 | 0.04 | 18% | 27 Apr → | ||
| 7–13 | 0.05 | 19% | 23 Apr → | ||
| 13–6 | -0.00 | 14% | 22 Apr → | ||
| 7–13 | -0.04 | 18% | 22 Apr → | ||
| 13–10 | -0.04 | 15% | 22 Apr → |
Match data via Leetify.