Burgermancan | cs2ez — CS2 Stats
76561197990767861[U:1:30502133]✓ No bans
Rating over time
Faceit ELO
- At peak — 1,110
- Next: Level 6 at 1,201 — 91 to go
- Reached: Level 5 · Level 4 · Level 3 · Level 2
- Level 5 first seen 2026-08-28
- Level 4 first seen 2026-08-28
Premier CS Rating
- At peak — 13,925
- Next: Purple band at 15,000 — 1,075 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-08-28
- Light Blue 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: +40pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 Twistzz 87% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: higher opening-fight frequency; 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
Areas to improve
T-side openings. Opening success drops from 50% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 581ms 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 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| C | 28 | 12–16 | 43% | 0.01 | |
| A | 19 | 11–8 | 58% | 0.04 | |
| B | 19 | 9–10 | 47% | 0.02 | |
| S | 11 | 8–3 | 73% | 0.02 | |
| D | 10 | 2–8 | 20% | 0.01 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| — | 4 | 2–2 | 50% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient 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 resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 39 | 59% | 1.19 | 14.6 |
| Dust2 | 21 | 43% | 1.06 | 14.5 |
| Ancient | 13 | 54% | 1.12 | 14.2 |
| Inferno | 10 | 40% | 1.05 | 16.9 |
| Cache | 3 | 33% | 1.43 | 17.0 |
| Train | 2 | 100% | 0.93 | 13.0 |
| Anubis | 2 | 50% | 1.18 | 18.0 |
| Nuke | 1 | 100% | 1.08 | 13.0 |
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
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 34.5312% — 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.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.00 | 26% | 26 Aug → | ||
| 13–16 | -0.03 | 10% | 26 Aug → | ||
| 13–7 | -0.00 | 30% | 25 Aug → | ||
| 13–10 | -0.00 | 27% | 25 Aug → | ||
| 13–3 | 0.08 | 10% | 25 Aug → | ||
| 13–4 | 0.09 | 16% | 25 Aug → | ||
| 8–13 | -0.01 | 20% | 25 Aug → | ||
| 13–4 | 0.04 | 9% | 24 Aug → | ||
| 13–5 | 0.01 | 13% | 24 Aug → | ||
| 13–8 | 0.02 | 21% | 24 Aug → | ||
| 13–5 | 0.10 | 33% | 24 Aug → | ||
| 7–13 | 0.01 | 14% | 24 Aug → | ||
| 13–6 | 0.09 | 25% | 24 Aug → | ||
| 9–13 | -0.03 | 15% | 24 Aug → | ||
| 13–16 | -0.01 | 21% | 24 Aug → | ||
| 14–16 | 0.06 | 12% | 24 Aug → | ||
| 15–15 | 0.06 | 24% | 24 Aug → | ||
| 13–9 | 0.08 | 17% | 24 Aug → | ||
| 5–13 | -0.02 | 24% | 21 Aug → | ||
| 11–13 | 0.03 | 16% | 20 Aug → | ||
| 9–13 | 0.05 | 16% | 20 Aug → | ||
| 4–9 | -0.07 | 50% | 20 Aug → | ||
| 9–1 | 0.27 | 30% | 20 Aug → | ||
| 9–0 | 0.22 | 28% | 20 Aug → | ||
| 13–10 | 0.13 | 18% | 20 Aug → | ||
| 4–13 | -0.00 | 14% | 20 Aug → | ||
| 13–7 | 0.03 | 13% | 20 Aug → | ||
| 13–2 | 0.01 | 26% | 20 Aug → | ||
| 13–6 | 0.01 | 13% | 20 Aug → | ||
| 13–16 | 0.04 | 27% | 19 Aug → | ||
| 9–13 | -0.01 | 17% | 19 Aug → | ||
| 13–6 | 0.14 | 24% | 19 Aug → | ||
| 4–13 | 0.00 | 17% | 19 Aug → | ||
| 13–11 | 0.09 | 15% | 19 Aug → | ||
| 13–9 | 0.06 | 11% | 19 Aug → | ||
| 13–9 | 0.05 | 21% | 19 Aug → | ||
| 11–13 | -0.03 | 14% | 19 Aug → | ||
| 13–11 | 0.07 | 23% | 19 Aug → | ||
| 2–13 | -0.03 | 12% | 19 Aug → | ||
| 5–13 | -0.02 | 12% | 19 Aug → | ||
| 13–7 | 0.09 | 17% | 19 Aug → | ||
| 5–13 | 0.03 | 25% | 18 Aug → | ||
| 8–13 | 0.03 | 29% | 18 Aug → | ||
| 13–10 | -0.05 | 24% | 18 Aug → | ||
| 13–8 | -0.02 | 14% | 18 Aug → | ||
| 9–13 | 0.07 | 11% | 18 Aug → | ||
| 9–13 | -0.01 | 9% | 18 Aug → | ||
| 17–19 | 0.00 | 16% | 18 Aug → | ||
| 7–13 | -0.03 | 20% | 17 Aug → | ||
| 3–13 | -0.10 | 13% | 17 Aug → | ||
| 13–11 | -0.02 | 23% | 17 Aug → | ||
| 13–5 | 0.04 | 13% | 14 Aug → | ||
| 13–7 | 0.06 | 17% | 14 Aug → | ||
| 10–13 | -0.04 | 8% | 13 Aug → | ||
| 9–13 | 0.07 | 16% | 11 Aug → | ||
| 13–10 | -0.04 | 15% | 11 Aug → | ||
| 13–10 | 0.07 | 12% | 11 Aug → | ||
| 13–3 | 0.07 | 14% | 10 Aug → | ||
| 8–13 | 0.06 | 12% | 10 Aug → | ||
| 13–11 | 0.02 | 23% | 10 Aug → | ||
| 13–2 | 0.10 | 19% | 10 Aug → | ||
| 13–11 | -0.02 | 16% | 10 Aug → | ||
| 4–13 | -0.03 | 19% | 6 Aug → | ||
| 13–11 | 0.08 | 20% | 6 Aug → | ||
| 10–13 | 0.05 | 19% | 6 Aug → | ||
| 13–8 | 0.03 | 29% | 6 Aug → | ||
| 7–1 | -0.02 | 0% | 6 Aug → | ||
| 16–14 | 0.07 | 18% | 6 Aug → | ||
| 9–13 | -0.00 | 19% | 5 Aug → | ||
| 8–13 | 0.03 | 12% | 5 Aug → | ||
| 13–1 | 0.09 | 26% | 5 Aug → | ||
| 3–13 | 0.04 | 23% | 5 Aug → | ||
| 10–13 | 0.03 | 10% | 4 Aug → | ||
| 4–13 | -0.05 | 11% | 4 Aug → | ||
| 13–11 | 0.01 | 32% | 4 Aug → | ||
| 9–13 | -0.04 | 11% | 4 Aug → | ||
| 8–13 | 0.01 | 12% | 4 Aug → | ||
| 13–3 | 0.04 | 9% | 4 Aug → | ||
| 8–13 | -0.03 | 21% | 3 Aug → | ||
| 9–13 | 0.00 | 16% | 3 Aug → | ||
| 15–15 | -0.06 | 15% | 3 Aug → | ||
| 8–13 | -0.05 | 11% | 3 Aug → | ||
| 4–13 | -0.09 | 7% | 3 Aug → | ||
| 7–13 | -0.02 | 13% | 3 Aug → | ||
| 6–13 | -0.11 | 5% | 3 Aug → | ||
| 16–14 | -0.01 | 14% | 3 Aug → | ||
| 15–15 | -0.00 | 12% | 3 Aug → | ||
| 11–13 | 0.01 | 13% | 3 Aug → | ||
| 13–9 | -0.03 | 16% | 2 Aug → | ||
| 8–13 | 0.01 | 20% | 2 Aug → | ||
| 9–13 | -0.08 | 10% | 2 Aug → | ||
| 5–13 | -0.00 | 4% | 2 Aug → | ||
| 13–8 | 0.09 | 14% | 2 Aug → | ||
| 9–13 | 0.01 | 22% | 1 Aug → | ||
| 8–13 | 0.01 | 28% | 1 Aug → | ||
| 13–6 | 0.00 | 6% | 1 Aug → | ||
| 13–8 | 0.02 | 10% | 31 Jul → | ||
| 8–13 | -0.01 | 8% | 31 Jul → | ||
| 16–14 | -0.07 | 13% | 31 Jul → | ||
| 13–7 | 0.01 | 11% | 31 Jul → |
Match data via Leetify.