reezk — CS2 Stats
76561198055330254[U:1:95064526]
Rating over time
Faceit ELO
- At peak — 3,330
- Next: 3,500 ELO at 3,500 — 170 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
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 · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerEffective 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 sh1ro 92% 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 88 — the mechanical foundation is a clear strength.
CT openings. 64% 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 64% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
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 7.6/10 (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 | 15–10 | 60% | 0.03 | |
| A | 22 | 13–9 | 59% | 0.02 | |
| S | 13 | 9–4 | 69% | 0.06 | |
| A | 13 | 8–5 | 62% | 0.05 | |
| A | 11 | 7–4 | 64% | 0.01 | |
| D | 6 | 2–4 | 33% | -0.01 | |
| — | 3 | 2–1 | 67% | 0.00 | |
| — | 3 | 2–1 | 67% | 0.06 | |
| — | 2 | 0–2 | 0% | -0.03 | |
| jura | — | 1 | 0–1 | 0% | -0.01 |
| grail | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass 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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 335 | 55% | 1.38 | 18.1 |
| Dust2 | 295 | 63% | 1.38 | 18.5 |
| Anubis | 273 | 60% | 1.33 | 17.9 |
| Ancient | 205 | 47% | 1.18 | 16.0 |
| Inferno | 132 | 61% | 1.42 | 17.9 |
| Overpass | 62 | 52% | 1.21 | 16.7 |
| Train | 22 | 45% | 1.38 | 16.9 |
| Nuke | 19 | 37% | 1.09 | 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.02 | 19% | 31 May → | ||
| 12–16 | -0.03 | 27% | 1 Apr → | ||
| 6–13 | 0.03 | 31% | 2 Mar → | ||
| 9–13 | -0.06 | 11% | 1 Feb → | ||
| 13–10 | -0.02 | 9% | 13 Jan → | ||
| 8–13 | -0.03 | 10% | 13 Jan → | ||
| 9–13 | -0.03 | 16% | 16 Nov → | ||
| 16–12 | 0.03 | 27% | 14 Nov → | ||
| 3–13 | -0.04 | 31% | 4 Oct → | ||
| 16–12 | 0.02 | 28% | 20 Sept → | ||
| 13–6 | 0.01 | 20% | 20 Sept → | ||
| 9–13 | -0.03 | 36% | 20 Sept → | ||
| 13–9 | 0.01 | 36% | 20 Sept → | ||
| 13–3 | -0.03 | 29% | 20 Sept → | ||
| 7–13 | -0.02 | 14% | 31 Aug → | ||
| 14–16 | 0.03 | 21% | 3 Aug → | ||
| 13–8 | 0.02 | 32% | 20 Jul → | ||
| 13–9 | 0.05 | 31% | 13 Jul → | ||
| 13–3 | -0.03 | 24% | 13 Jul → | ||
| jura | 9–13 | -0.01 | 8% | 7 Jun → | |
| 13–9 | 0.08 | 17% | 1 Jun → | ||
| 13–7 | 0.06 | 24% | 1 Jun → | ||
| 13–6 | 0.08 | 21% | 30 May → | ||
| 13–3 | 0.10 | 25% | 28 May → | ||
| 13–3 | 0.21 | 28% | 26 May → | ||
| 16–14 | 0.07 | 21% | 24 May → | ||
| 13–9 | -0.01 | 32% | 22 May → | ||
| 14–16 | 0.05 | 27% | 22 May → | ||
| 13–4 | 0.15 | 23% | 20 May → | ||
| 13–7 | 0.10 | 7% | 15 May → | ||
| 11–13 | 0.03 | 20% | 15 May → | ||
| 13–8 | 0.07 | 30% | 13 May → | ||
| 11–13 | -0.03 | 9% | 11 May → | ||
| 17–19 | 0.02 | 32% | 10 May → | ||
| grail | 10–13 | -0.02 | 20% | 9 May → | |
| 13–4 | 0.04 | 33% | 8 May → | ||
| 16–13 | 0.02 | 42% | 5 May → | ||
| 13–6 | 0.05 | 26% | 3 May → | ||
| 13–6 | 0.06 | 20% | 28 Apr → | ||
| 16–13 | 0.08 | 16% | 2 Apr → | ||
| 13–7 | 0.08 | 28% | 10 Mar → | ||
| 13–10 | 0.00 | 36% | 10 Mar → | ||
| 11–13 | -0.02 | 19% | 9 Mar → | ||
| 9–13 | 0.04 | 42% | 6 Mar → | ||
| 14–16 | 0.02 | 18% | 27 Feb → | ||
| 16–14 | 0.07 | 20% | 23 Feb → | ||
| 13–10 | -0.00 | 15% | 2 Feb → | ||
| 12–16 | -0.05 | 13% | 25 Jan → | ||
| 10–13 | 0.03 | 27% | 19 Jan → | ||
| 7–13 | -0.01 | 25% | 15 Jan → | ||
| 13–9 | 0.06 | 29% | 13 Jan → | ||
| 16–12 | 0.09 | 17% | 13 Jan → | ||
| 11–13 | 0.05 | 29% | 12 Jan → | ||
| 10–13 | -0.02 | 11% | 11 Jan → | ||
| 13–4 | 0.08 | 39% | 8 Jan → | ||
| 13–8 | 0.14 | 19% | 2 Jan → | ||
| 13–5 | 0.06 | 23% | 2 Jan → | ||
| 16–12 | -0.02 | 14% | 1 Jan → | ||
| 9–13 | -0.04 | 20% | 23 Dec → | ||
| 14–16 | 0.06 | 29% | 22 Dec → | ||
| 2–13 | -0.06 | 60% | 20 Dec → | ||
| 7–13 | -0.02 | 24% | 17 Dec → | ||
| 13–10 | 0.09 | 33% | 16 Dec → | ||
| 11–13 | 0.04 | 21% | 13 Dec → | ||
| 13–11 | 0.05 | 35% | 25 Nov → | ||
| 13–11 | 0.03 | 21% | 23 Nov → | ||
| 11–13 | 0.01 | 31% | 7 Nov → | ||
| 8–13 | 0.02 | 29% | 7 Nov → | ||
| 13–8 | 0.02 | 30% | 29 Oct → | ||
| 13–8 | 0.05 | 17% | 25 Oct → | ||
| 1–6 | -0.02 | 0% | 25 Oct → | ||
| 13–3 | 0.06 | 11% | 25 Oct → | ||
| 3–13 | -0.04 | 18% | 24 Oct → | ||
| 13–11 | 0.02 | 16% | 24 Oct → | ||
| 7–13 | 0.00 | 29% | 23 Oct → | ||
| 8–13 | -0.00 | 28% | 23 Oct → | ||
| 13–4 | -0.03 | 21% | 22 Oct → | ||
| 15–15 | -0.05 | 11% | 22 Oct → | ||
| 11–13 | 0.05 | 31% | 20 Oct → | ||
| 13–5 | 0.12 | 25% | 20 Oct → | ||
| 13–4 | 0.05 | 30% | 20 Oct → | ||
| 13–3 | 0.12 | 17% | 18 Oct → | ||
| 11–13 | -0.03 | 21% | 18 Oct → | ||
| 13–9 | 0.04 | 15% | 18 Oct → | ||
| 13–1 | 0.20 | 27% | 18 Oct → | ||
| 13–10 | 0.03 | 26% | 18 Oct → | ||
| 13–6 | 0.01 | 10% | 18 Oct → | ||
| 13–11 | 0.08 | 36% | 18 Oct → | ||
| 1–13 | -0.04 | 17% | 18 Oct → | ||
| 13–0 | 0.02 | 23% | 18 Oct → | ||
| 13–8 | 0.10 | 20% | 18 Oct → | ||
| 13–9 | 0.04 | 25% | 17 Oct → | ||
| 10–13 | 0.06 | 26% | 17 Oct → | ||
| 13–10 | -0.03 | 21% | 16 Oct → | ||
| 13–6 | 0.08 | 35% | 16 Oct → | ||
| 1–13 | -0.03 | 26% | 8 Oct → | ||
| 9–13 | 0.05 | 31% | 6 Oct → | ||
| 10–4 | 0.08 | 37% | 6 Oct → | ||
| 13–11 | 0.03 | 29% | 6 Oct → | ||
| 8–13 | 0.04 | 21% | 4 Oct → |
Match data via Leetify.
Recent teammates
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