ᶠᵉˡˡᵃ❤ — CS2 Stats
76561198276554324[U:1:316288596]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; 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
Strengths
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 641ms 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 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 32 | 14–18 | 44% | -0.02 | |
| A | 14 | 9–5 | 64% | -0.00 | |
| S | 11 | 8–3 | 73% | 0.01 | |
| D | 11 | 3–8 | 27% | -0.03 | |
| B | 10 | 5–5 | 50% | -0.01 | |
| A | 8 | 5–3 | 63% | -0.00 | |
| A | 5 | 3–2 | 60% | -0.03 | |
| — | 3 | 1–2 | 33% | 0.05 | |
| — | 2 | 2–0 | 100% | 0.03 | |
| office | — | 2 | 1–1 | 50% | -0.03 |
| warden | — | 1 | 0–1 | 0% | -0.03 |
| — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 179 | 45% | 0.87 | 14.3 |
| Anubis | 171 | 58% | 0.92 | 14.6 |
| Ancient | 159 | 57% | 0.95 | 15.4 |
| Nuke | 82 | 52% | 0.91 | 14.0 |
| Dust2 | 52 | 38% | 0.90 | 14.3 |
| Vertigo | 33 | 48% | 0.92 | 15.7 |
| Inferno | 23 | 74% | 1.08 | 14.7 |
| Train | 13 | 85% | 1.26 | 15.3 |
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 32.6102% — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.04 | 22% | 5 Aug → | ||
| 5–13 | 0.06 | 22% | 3 Aug → | ||
| 13–8 | 0.01 | 27% | 3 Aug → | ||
| 4–13 | -0.01 | 60% | 3 Aug → | ||
| 7–13 | 0.02 | 32% | 1 Aug → | ||
| 13–7 | -0.03 | 11% | 1 Aug → | ||
| 9–13 | 0.01 | 26% | 1 Aug → | ||
| 1–13 | -0.10 | 45% | 1 Aug → | ||
| 13–11 | -0.07 | 27% | 1 Aug → | ||
| 11–13 | -0.02 | 21% | 31 Jul → | ||
| 13–7 | 0.01 | 33% | 31 Jul → | ||
| 13–11 | 0.01 | 34% | 31 Jul → | ||
| 10–13 | -0.04 | 23% | 31 Jul → | ||
| 6–13 | -0.05 | 38% | 31 Jul → | ||
| 13–6 | -0.03 | 18% | 31 Jul → | ||
| 13–7 | 0.08 | 18% | 25 Jun → | ||
| 4–13 | -0.03 | 20% | 25 Jun → | ||
| 13–10 | -0.01 | 15% | 23 May → | ||
| 13–5 | 0.02 | 19% | 23 May → | ||
| 13–10 | -0.00 | 17% | 23 May → | ||
| 13–10 | -0.04 | 15% | 20 May → | ||
| 12–12 | -0.01 | 35% | 20 May → | ||
| 12–12 | -0.02 | 22% | 19 May → | ||
| 13–4 | -0.03 | 32% | 19 May → | ||
| 11–13 | -0.01 | 29% | 19 May → | ||
| 13–8 | 0.06 | 17% | 19 May → | ||
| 13–8 | -0.03 | 33% | 19 May → | ||
| 13–3 | 0.01 | 44% | 14 May → | ||
| 13–8 | 0.05 | 24% | 14 May → | ||
| 13–10 | -0.00 | 20% | 14 May → | ||
| 5–13 | -0.06 | 44% | 14 May → | ||
| 13–10 | -0.12 | 20% | 14 May → | ||
| warden | 9–13 | -0.03 | 19% | 13 May → | |
| 13–0 | -0.00 | 50% | 13 May → | ||
| 13–1 | -0.03 | 27% | 13 May → | ||
| 13–1 | 0.02 | 14% | 13 May → | ||
| 13–4 | 0.08 | 14% | 13 May → | ||
| 10–13 | -0.06 | 31% | 10 May → | ||
| 9–13 | 0.01 | 15% | 10 May → | ||
| 4–13 | -0.02 | 29% | 10 May → | ||
| 8–13 | -0.08 | 23% | 9 May → | ||
| 12–12 | -0.02 | 29% | 9 May → | ||
| 13–5 | 0.02 | 19% | 9 May → | ||
| 13–6 | 0.02 | 27% | 9 May → | ||
| 7–13 | -0.04 | 21% | 24 Apr → | ||
| 7–13 | -0.07 | 14% | 24 Apr → | ||
| 13–4 | 0.03 | 30% | 23 Apr → | ||
| 12–16 | -0.05 | 18% | 23 Apr → | ||
| 12–16 | -0.05 | 15% | 23 Apr → | ||
| 13–10 | -0.04 | 20% | 23 Apr → | ||
| 13–8 | 0.14 | 24% | 13 Apr → | ||
| 4–13 | 0.10 | 26% | 13 Apr → | ||
| 10–13 | -0.01 | 25% | 13 Apr → | ||
| 10–13 | 0.02 | 28% | 13 Apr → | ||
| 13–4 | 0.05 | 24% | 13 Apr → | ||
| 13–7 | 0.07 | 23% | 13 Apr → | ||
| 5–13 | 0.03 | 55% | 13 Apr → | ||
| 13–2 | 0.08 | 21% | 12 Apr → | ||
| 13–9 | -0.03 | 28% | 11 Apr → | ||
| 10–13 | -0.03 | 18% | 11 Apr → | ||
| 13–7 | -0.00 | 26% | 10 Apr → | ||
| 13–8 | -0.04 | 30% | 4 Apr → | ||
| 13–10 | 0.02 | 22% | 4 Apr → | ||
| 16–14 | 0.01 | 44% | 2 Apr → | ||
| 5–13 | 0.01 | 40% | 2 Apr → | ||
| 3–13 | -0.07 | 40% | 2 Apr → | ||
| office | 9–13 | -0.05 | 30% | 21 Mar → | |
| office | 13–7 | -0.02 | 31% | 21 Mar → | |
| 5–13 | -0.00 | 10% | 20 Mar → | ||
| 13–7 | 0.11 | 22% | 19 Mar → | ||
| 4–11 | -0.11 | 43% | 18 Mar → | ||
| 13–6 | 0.08 | 31% | 18 Mar → | ||
| 16–14 | -0.05 | 10% | 18 Mar → | ||
| 0–3 | -0.08 | 0% | 15 Mar → | ||
| 2–13 | -0.07 | 33% | 15 Mar → | ||
| 10–13 | 0.02 | 33% | 15 Mar → | ||
| 13–10 | 0.01 | 22% | 14 Mar → | ||
| 13–6 | 0.02 | 29% | 13 Mar → | ||
| 7–13 | -0.01 | 32% | 13 Mar → | ||
| 5–13 | -0.04 | 26% | 13 Mar → | ||
| 6–13 | -0.08 | 11% | 11 Mar → | ||
| 10–13 | -0.09 | 21% | 11 Mar → | ||
| 13–7 | -0.00 | 17% | 11 Mar → | ||
| 13–6 | -0.05 | 21% | 11 Mar → | ||
| 13–8 | 0.01 | 20% | 10 Mar → | ||
| 13–11 | -0.03 | 24% | 10 Mar → | ||
| 5–13 | -0.10 | 8% | 10 Mar → | ||
| 13–6 | 0.01 | 20% | 10 Mar → | ||
| 13–1 | 0.09 | 31% | 10 Mar → | ||
| 3–13 | -0.07 | 20% | 10 Mar → | ||
| 13–16 | -0.06 | 16% | 6 Mar → | ||
| 13–6 | 0.02 | 18% | 6 Mar → | ||
| 9–13 | -0.05 | 28% | 6 Mar → | ||
| 13–7 | -0.04 | 37% | 6 Mar → | ||
| 1–13 | -0.05 | 17% | 5 Mar → | ||
| 13–11 | -0.03 | 22% | 5 Mar → | ||
| 11–13 | 0.05 | 31% | 5 Mar → | ||
| 13–8 | 0.02 | 24% | 5 Mar → | ||
| 7–13 | -0.06 | 38% | 5 Mar → | ||
| 13–7 | 0.06 | 26% | 5 Mar → |
Match data via Leetify.