Cheeki Breeki — CS2 Stats
US76561198881781765[U:1:921516037]Steam profile ↗
Rating over time
Premier CS Rating
- At peak — 21,185
- Next: Red band at 25,000 — 3,815 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.
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 57.2% | 47.2% | 49.9% | above |
| Shot accuracy | 8.0% | 12.7% | 13.4% | 5.4% short |
| Kill/death ratio | 1.69 | 1.09 | 1.12 | above |
| Match win rate | 47.2% | 46.6% | 48.4% | 1.2% short |
This profile matches the typical Red band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 jL 94% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 7.1/10 (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 | 25 | 17–8 | 68% | 0.04 | |
| B | 20 | 10–10 | 50% | -0.02 | |
| B | 17 | 8–9 | 47% | 0.02 | |
| B | 16 | 8–8 | 50% | 0.02 | |
| S | 10 | 7–3 | 70% | 0.02 | |
| A | 7 | 4–3 | 57% | 0.00 | |
| C | 5 | 2–3 | 40% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 3 | 67% | 1.45 | 18.7 |
| Inferno | 2 | 50% | 1.10 | 19.5 |
| Nuke | 2 | 50% | 1.64 | 18.5 |
| Cache | 1 | 100% | 1.23 | 16.0 |
| Ancient | 1 | 100% | 1.14 | 16.0 |
| Mirage | 1 | 0% | 0.57 | 8.0 |
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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–12 | -0.03 | 13% | 30 Aug → | ||
| 13–11 | 0.08 | 17% | 30 Aug → | ||
| 13–4 | 0.03 | 15% | 30 Aug → | ||
| 7–13 | -0.04 | 21% | 27 Aug → | ||
| 13–7 | 0.05 | 14% | 26 Aug → | ||
| 13–6 | 0.01 | 15% | 26 Aug → | ||
| 13–7 | 0.04 | 13% | 26 Aug → | ||
| 16–14 | 0.03 | 10% | 24 Aug → | ||
| 9–13 | 0.07 | 27% | 24 Aug → | ||
| 9–13 | 0.00 | 12% | 24 Aug → | ||
| 13–2 | 0.06 | 15% | 24 Aug → | ||
| 13–9 | 0.05 | 17% | 20 Aug → | ||
| 15–15 | -0.04 | 16% | 20 Aug → | ||
| 8–13 | 0.02 | 19% | 20 Aug → | ||
| 13–10 | 0.07 | 18% | 20 Aug → | ||
| 15–15 | 0.03 | 10% | 18 Aug → | ||
| 0–4 | -0.05 | 0% | 18 Aug → | ||
| 15–15 | 0.02 | 17% | 18 Aug → | ||
| 8–13 | 0.01 | 20% | 18 Aug → | ||
| 6–13 | 0.04 | 11% | 18 Aug → | ||
| 11–13 | 0.04 | 13% | 17 Aug → | ||
| 5–13 | -0.04 | 15% | 17 Aug → | ||
| 13–9 | 0.13 | 19% | 17 Aug → | ||
| 13–2 | 0.07 | 14% | 17 Aug → | ||
| 13–7 | 0.13 | 20% | 17 Aug → | ||
| 13–2 | 0.16 | 5% | 17 Aug → | ||
| 10–13 | -0.01 | 30% | 17 Aug → | ||
| 12–12 | 0.05 | 11% | 17 Aug → | ||
| 1–9 | -0.21 | 25% | 17 Aug → | ||
| 13–2 | 0.03 | 5% | 17 Aug → | ||
| 13–11 | 0.01 | 11% | 17 Aug → | ||
| 6–13 | 0.02 | 24% | 12 Aug → | ||
| 13–7 | 0.09 | 19% | 10 Aug → | ||
| 4–13 | -0.03 | 16% | 10 Aug → | ||
| 13–6 | 0.03 | 14% | 10 Aug → | ||
| 13–6 | 0.07 | 18% | 10 Aug → | ||
| 13–8 | 0.04 | 3% | 10 Aug → | ||
| 13–5 | -0.02 | 20% | 10 Aug → | ||
| 10–13 | -0.03 | 23% | 10 Aug → | ||
| 13–5 | -0.06 | 24% | 9 Aug → | ||
| 13–6 | 0.01 | 10% | 9 Aug → | ||
| 6–13 | -0.01 | 11% | 9 Aug → | ||
| 7–13 | 0.03 | 13% | 9 Aug → | ||
| 13–10 | 0.06 | 21% | 9 Aug → | ||
| 13–4 | 0.03 | 27% | 9 Aug → | ||
| 13–9 | 0.06 | 13% | 9 Aug → | ||
| 13–7 | -0.03 | 20% | 8 Aug → | ||
| 8–13 | 0.00 | 13% | 8 Aug → | ||
| 13–7 | 0.10 | 23% | 8 Aug → | ||
| 13–7 | 0.01 | 22% | 8 Aug → | ||
| 13–9 | 0.06 | 10% | 8 Aug → | ||
| 13–8 | 0.02 | 11% | 8 Aug → | ||
| 10–13 | 0.08 | 33% | 8 Aug → | ||
| 13–11 | 0.00 | 16% | 8 Aug → | ||
| 5–13 | -0.01 | 15% | 7 Aug → | ||
| 2–13 | -0.05 | 16% | 5 Aug → | ||
| 8–13 | -0.03 | 20% | 5 Aug → | ||
| 13–4 | 0.00 | 26% | 5 Aug → | ||
| 13–5 | 0.03 | 12% | 5 Aug → | ||
| 4–13 | 0.02 | 20% | 4 Aug → | ||
| 8–13 | -0.04 | 11% | 4 Aug → | ||
| 13–5 | 0.05 | 22% | 4 Aug → | ||
| 8–13 | -0.03 | 17% | 4 Aug → | ||
| 9–13 | 0.02 | 25% | 4 Aug → | ||
| 13–6 | 0.09 | 25% | 3 Aug → | ||
| 13–10 | -0.08 | 10% | 3 Aug → | ||
| 9–13 | -0.03 | 14% | 3 Aug → | ||
| 13–11 | 0.05 | 15% | 3 Aug → | ||
| 13–8 | -0.00 | 28% | 3 Aug → | ||
| 16–12 | 0.00 | 18% | 3 Aug → | ||
| 15–15 | 0.04 | 16% | 3 Aug → | ||
| 13–2 | 0.04 | 18% | 3 Aug → | ||
| 13–6 | -0.06 | 16% | 2 Aug → | ||
| 2–13 | -0.11 | 11% | 2 Aug → | ||
| 13–11 | -0.02 | 10% | 2 Aug → | ||
| 13–10 | 0.01 | 14% | 2 Aug → | ||
| 6–13 | -0.03 | 15% | 2 Aug → | ||
| 8–13 | -0.02 | 13% | 1 Aug → | ||
| 8–13 | 0.02 | 21% | 1 Aug → | ||
| 13–2 | 0.04 | 20% | 1 Aug → | ||
| 13–2 | 0.04 | 23% | 1 Aug → | ||
| 9–13 | -0.02 | 21% | 1 Aug → | ||
| 13–11 | 0.10 | 30% | 1 Aug → | ||
| 6–13 | 0.03 | 10% | 1 Aug → | ||
| 13–10 | -0.01 | 23% | 31 Jul → | ||
| 13–10 | -0.01 | 7% | 31 Jul → | ||
| 13–4 | 0.01 | 18% | 31 Jul → | ||
| 13–8 | 0.01 | 13% | 31 Jul → | ||
| 9–0 | -0.00 | 4% | 31 Jul → | ||
| 13–5 | 0.04 | 14% | 31 Jul → | ||
| 13–5 | 0.09 | 13% | 31 Jul → | ||
| 5–13 | -0.01 | 22% | 31 Jul → | ||
| 13–8 | 0.04 | 17% | 31 Jul → | ||
| 14–16 | 0.02 | 13% | 30 Jul → | ||
| 11–13 | 0.01 | 16% | 29 Jul → | ||
| 10–13 | 0.03 | 13% | 29 Jul → | ||
| 10–13 | -0.01 | 7% | 29 Jul → | ||
| 12–16 | -0.02 | 20% | 29 Jul → | ||
| 14–16 | -0.00 | 20% | 29 Jul → | ||
| 13–11 | 0.08 | 14% | 29 Jul → |
Match data via Leetify.