XXVIII — CS2 Stats
76561199164876006[U:1:1204610278]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 2,687
- Next: 3,000 ELO at 3,000 — 313 to go
- Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
- 2,500 ELO first seen 2026-08-29
- Level 10 first seen 2026-08-29
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 Level 10 among CSDB-tracked players (n=3,007), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 45.6% | 52.0% |
| Shot accuracy | 9.1% | 13.7% |
| Kill/death ratio | 1.28 | 1.08 |
| Match win rate | 53.7% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 91% 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
T openings. 61% T opening-duel success — entries that actually open the round.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.2/10 (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 | 16 | 11–5 | 69% | 0.02 | |
| office | A | 11 | 7–4 | 64% | 0.08 |
| C | 9 | 4–5 | 44% | 0.00 | |
| A | 8 | 5–3 | 63% | 0.04 | |
| palacio | A | 8 | 5–3 | 63% | 0.07 |
| C | 7 | 3–4 | 43% | 0.04 | |
| S | 6 | 4–2 | 67% | 0.07 | |
| A | 5 | 3–2 | 60% | 0.07 | |
| C | 5 | 2–3 | 40% | 0.00 | |
| italy | — | 4 | 3–1 | 75% | 0.12 |
| golden | — | 4 | 3–1 | 75% | 0.08 |
| alpine | — | 3 | 1–2 | 33% | 0.01 |
| — | 3 | 3–0 | 100% | 0.04 | |
| agency | — | 3 | 1–2 | 33% | 0.10 |
| — | 2 | 2–0 | 100% | 0.03 | |
| — | 2 | 2–0 | 100% | 0.08 | |
| stronghold | — | 2 | 1–1 | 50% | 0.02 |
| poseidon | — | 1 | 0–1 | 0% | 0.22 |
| warden | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 400 | 50% | 1.12 | 15.8 |
| Ancient | 329 | 52% | 1.14 | 16.6 |
| Anubis | 232 | 58% | 1.19 | 16.6 |
| Vertigo | 159 | 60% | 1.15 | 16.7 |
| Dust2 | 134 | 49% | 1.06 | 15.5 |
| Inferno | 85 | 44% | 1.03 | 14.4 |
| Nuke | 77 | 43% | 1.14 | 15.9 |
| Overpass | 44 | 48% | 1.09 | 15.9 |
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 0.3887 — below the 0.5 mark we flag
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 | |
|---|---|---|---|---|---|
| 12–9 | 0.02 | 15% | 16 Jul → | ||
| 13–6 | 0.07 | 16% | 15 Jul → | ||
| 8–13 | -0.02 | 19% | 14 Jul → | ||
| poseidon | 8–8 | 0.22 | 30% | 27 May → | |
| 4–13 | -0.02 | 22% | 12 May → | ||
| 9–13 | 0.03 | 20% | 12 May → | ||
| alpine | 11–13 | -0.03 | 13% | 12 May → | |
| 13–10 | 0.09 | 24% | 29 Apr → | ||
| 13–8 | 0.07 | 18% | 29 Apr → | ||
| 13–4 | 0.12 | 23% | 29 Apr → | ||
| 13–10 | 0.15 | 21% | 29 Apr → | ||
| office | 9–13 | -0.02 | 11% | 28 Apr → | |
| italy | 13–4 | 0.22 | 24% | 24 Apr → | |
| 13–10 | 0.11 | 22% | 11 Apr → | ||
| 10–13 | 0.10 | 18% | 11 Apr → | ||
| alpine | 13–6 | 0.11 | 25% | 6 Apr → | |
| stronghold | 11–13 | -0.02 | 13% | 4 Apr → | |
| 13–7 | 0.08 | 18% | 3 Apr → | ||
| 13–16 | 0.03 | 25% | 31 Mar → | ||
| 19–16 | 0.04 | 17% | 30 Mar → | ||
| 13–6 | 0.09 | 15% | 30 Mar → | ||
| 13–9 | 0.04 | 15% | 28 Mar → | ||
| 13–9 | 0.01 | 31% | 28 Mar → | ||
| italy | 8–13 | 0.13 | 19% | 27 Mar → | |
| 8–13 | -0.03 | 19% | 25 Mar → | ||
| office | 12–12 | 0.03 | 27% | 25 Mar → | |
| warden | 10–13 | 0.02 | 10% | 25 Mar → | |
| alpine | 10–13 | -0.04 | 12% | 25 Mar → | |
| office | 13–4 | 0.20 | 31% | 25 Mar → | |
| stronghold | 13–9 | 0.06 | 23% | 12 Mar → | |
| 4–13 | -0.05 | 12% | 10 Mar → | ||
| 13–5 | 0.03 | 13% | 6 Mar → | ||
| 9–13 | -0.02 | 25% | 5 Mar → | ||
| 13–6 | 0.20 | 23% | 5 Mar → | ||
| 13–5 | 0.04 | 17% | 28 Feb → | ||
| 13–7 | 0.04 | 35% | 28 Feb → | ||
| 13–8 | 0.05 | 13% | 23 Jan → | ||
| 10–13 | -0.03 | 14% | 22 Jan → | ||
| 13–11 | 0.01 | 17% | 17 Jan → | ||
| 13–11 | -0.02 | 25% | 17 Jan → | ||
| 13–11 | 0.03 | 26% | 16 Jan → | ||
| 13–9 | 0.05 | 25% | 16 Jan → | ||
| 5–13 | -0.03 | 19% | 14 Jan → | ||
| 13–5 | 0.01 | 14% | 11 Jan → | ||
| 3–13 | -0.04 | 21% | 8 Jan → | ||
| 5–13 | -0.04 | 15% | 7 Jan → | ||
| italy | 13–10 | 0.09 | 28% | 2 Jan → | |
| 11–13 | 0.13 | 19% | 11 Dec → | ||
| 13–8 | 0.05 | 22% | 6 Nov → | ||
| agency | 9–9 | 0.09 | 55% | 30 Oct → | |
| office | 13–8 | 0.14 | 17% | 29 Oct → | |
| 11–13 | -0.00 | 23% | 20 Oct → | ||
| 13–3 | 0.03 | 10% | 20 Oct → | ||
| palacio | 13–5 | 0.02 | 15% | 16 Oct → | |
| golden | 10–1 | 0.05 | 9% | 15 Oct → | |
| palacio | 13–4 | 0.08 | 18% | 15 Oct → | |
| palacio | 3–13 | -0.05 | 18% | 15 Oct → | |
| palacio | 12–12 | 0.04 | 13% | 14 Oct → | |
| palacio | 13–10 | 0.10 | 14% | 13 Oct → | |
| golden | 7–13 | 0.09 | 13% | 13 Oct → | |
| palacio | 3–5 | 0.08 | 30% | 13 Oct → | |
| office | 13–10 | 0.05 | 10% | 10 Oct → | |
| palacio | 13–3 | 0.15 | 16% | 9 Oct → | |
| palacio | 13–4 | 0.14 | 23% | 9 Oct → | |
| office | 13–10 | 0.06 | 23% | 9 Oct → | |
| 13–10 | 0.05 | 14% | 8 Oct → | ||
| office | 11–13 | 0.10 | 26% | 8 Oct → | |
| agency | 7–13 | 0.12 | 23% | 2 Oct → | |
| golden | 13–5 | 0.07 | 23% | 2 Oct → | |
| golden | 11–4 | 0.12 | 29% | 2 Oct → | |
| office | 13–11 | 0.08 | 27% | 1 Oct → | |
| office | 3–13 | 0.06 | 34% | 1 Oct → | |
| office | 13–5 | 0.07 | 36% | 1 Oct → | |
| 13–8 | 0.12 | 13% | 24 Sept → | ||
| agency | 13–10 | 0.08 | 20% | 22 Sept → | |
| office | 13–8 | 0.08 | 11% | 22 Sept → | |
| 9–13 | -0.01 | 12% | 21 Sept → | ||
| 16–14 | 0.06 | 21% | 16 Sept → | ||
| 16–14 | 0.01 | 23% | 16 Sept → | ||
| 16–12 | 0.06 | 12% | 16 Sept → | ||
| 7–13 | -0.03 | 14% | 16 Sept → | ||
| 17–19 | -0.04 | 13% | 16 Sept → | ||
| italy | 13–6 | 0.02 | 19% | 13 Sept → | |
| 13–11 | 0.08 | 22% | 13 Sept → | ||
| 10–13 | 0.02 | 20% | 13 Sept → | ||
| 13–3 | 0.00 | 24% | 13 Sept → | ||
| 1–13 | -0.04 | 15% | 13 Sept → | ||
| 16–13 | 0.04 | 19% | 13 Sept → | ||
| 8–13 | -0.04 | 11% | 13 Sept → | ||
| 9–7 | 0.06 | 8% | 11 Sept → | ||
| 10–13 | 0.11 | 13% | 11 Sept → | ||
| 14–16 | -0.02 | 9% | 10 Sept → | ||
| 13–10 | 0.06 | 11% | 8 Sept → | ||
| 13–9 | -0.00 | 11% | 8 Sept → | ||
| 14–16 | -0.03 | 12% | 8 Sept → | ||
| 13–11 | 0.03 | 15% | 8 Sept → | ||
| 13–4 | 0.07 | 11% | 7 Sept → | ||
| 10–13 | 0.03 | 24% | 7 Sept → | ||
| 13–3 | 0.05 | 16% | 7 Sept → | ||
| 13–9 | 0.05 | 15% | 6 Sept → |
Match data via Leetify.