ultrafelix — CS2 Stats
SE76561198049074743[U:1:88809015]Steam profile ↗
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 | 47.4% | 52.0% |
| Shot accuracy | 15.2% | 13.7% |
| Kill/death ratio | 1.23 | 1.08 |
| Match win rate | 52.6% | 48.8% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerEffective flashesHigh utility contribution
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 89% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: higher utility contribution; 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. 0.78 enemies blinded per flash — utility that consistently lands.
Utility. Utility score of 88 — grenade impact well above the norm.
Areas to improve
T-side openings. Opening success drops from 49% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 552ms 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 6.2/10 (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 |
|---|---|---|---|---|---|
| A | 22 | 14–8 | 64% | 0.03 | |
| S | 22 | 15–7 | 68% | 0.04 | |
| C | 12 | 5–7 | 42% | 0.04 | |
| B | 10 | 5–5 | 50% | 0.03 | |
| D | 10 | 3–7 | 30% | -0.00 | |
| A | 7 | 4–3 | 57% | 0.04 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| debris | — | 1 | 1–0 | 100% | 0.03 |
| fachwerk | — | 1 | 0–1 | 0% | -0.05 |
| warden | — | 1 | 1–0 | 100% | -0.02 |
| alpine | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (30% over 10). 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 36 | 72% | 1.28 | 17.8 |
| Ancient | 31 | 55% | 1.17 | 16.4 |
| Cache | 20 | 60% | 1.30 | 16.5 |
| Anubis | 19 | 47% | 1.03 | 14.5 |
| Overpass | 8 | 62% | 1.18 | 15.5 |
| Mirage | 4 | 25% | 1.14 | 17.8 |
| Nuke | 4 | 50% | 1.26 | 20.5 |
| Dust2 | 2 | 50% | 1.22 | 20.5 |
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 23.4139% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | -0.01 | 14% | 27 Aug → | ||
| 16–14 | 0.06 | 19% | 27 Aug → | ||
| 13–10 | 0.01 | 24% | 26 Aug → | ||
| 13–9 | -0.04 | 32% | 22 Aug → | ||
| 13–7 | -0.05 | 11% | 22 Aug → | ||
| debris | 9–6 | 0.03 | 10% | 19 Aug → | |
| 9–0 | 0.37 | 16% | 19 Aug → | ||
| 8–13 | 0.00 | 42% | 13 Aug → | ||
| 13–8 | -0.01 | 13% | 13 Aug → | ||
| 13–7 | 0.01 | 14% | 11 Aug → | ||
| 13–6 | 0.06 | 19% | 7 Aug → | ||
| 13–5 | 0.15 | 21% | 7 Aug → | ||
| 13–8 | 0.01 | 27% | 7 Aug → | ||
| 10–13 | 0.04 | 29% | 7 Aug → | ||
| 13–6 | 0.07 | 34% | 7 Aug → | ||
| 13–9 | 0.03 | 24% | 6 Aug → | ||
| fachwerk | 6–13 | -0.05 | 32% | 6 Aug → | |
| 9–13 | 0.02 | 13% | 3 Aug → | ||
| 16–14 | 0.07 | 16% | 3 Aug → | ||
| 3–5 | -0.02 | 27% | 31 Jul → | ||
| 4–13 | 0.08 | 28% | 25 Jul → | ||
| 4–13 | -0.04 | 14% | 25 Jul → | ||
| 10–13 | 0.09 | 20% | 25 Jul → | ||
| 13–11 | -0.02 | 16% | 25 Jul → | ||
| 5–13 | 0.03 | 16% | 22 Jul → | ||
| 8–13 | 0.13 | 17% | 22 Jul → | ||
| 5–13 | 0.03 | 19% | 22 Jul → | ||
| 16–14 | 0.07 | 23% | 22 Jul → | ||
| 13–8 | 0.02 | 20% | 21 Jul → | ||
| 13–11 | 0.01 | 19% | 21 Jul → | ||
| 13–8 | 0.13 | 21% | 21 Jul → | ||
| 8–13 | 0.01 | 20% | 21 Jul → | ||
| 13–10 | 0.03 | 30% | 20 Jul → | ||
| 6–13 | -0.06 | 21% | 20 Jul → | ||
| 13–9 | 0.01 | 36% | 19 Jul → | ||
| 12–1 | 0.14 | 20% | 11 Jul → | ||
| 11–13 | 0.06 | 19% | 11 Jul → | ||
| 13–11 | 0.13 | 34% | 10 Jul → | ||
| 13–1 | 0.01 | 36% | 10 Jul → | ||
| 10–13 | -0.02 | 24% | 10 Jul → | ||
| 6–13 | 0.02 | 12% | 5 Jul → | ||
| 4–13 | -0.06 | 33% | 5 Jul → | ||
| 11–13 | -0.00 | 18% | 4 Jul → | ||
| 5–13 | -0.07 | 25% | 4 Jul → | ||
| 5–13 | 0.01 | 15% | 29 Jun → | ||
| 2–13 | -0.04 | 17% | 29 Jun → | ||
| 13–3 | 0.01 | 14% | 28 Jun → | ||
| 13–2 | -0.01 | 8% | 24 Jun → | ||
| 13–3 | 0.04 | 17% | 23 Jun → | ||
| 8–13 | 0.08 | 21% | 22 Jun → | ||
| 10–13 | -0.03 | 20% | 18 Jun → | ||
| 4–0 | 0.00 | 0% | 18 Jun → | ||
| 12–12 | 0.02 | 13% | 18 Jun → | ||
| 10–13 | -0.05 | 21% | 18 Jun → | ||
| 10–13 | 0.04 | 25% | 12 Jun → | ||
| 13–11 | 0.01 | 20% | 12 Jun → | ||
| 11–13 | -0.06 | 24% | 12 Jun → | ||
| 13–5 | 0.19 | 24% | 12 Jun → | ||
| warden | 13–6 | -0.02 | 15% | 12 Jun → | |
| alpine | 12–12 | 0.03 | 17% | 11 Jun → | |
| 8–13 | 0.04 | 36% | 10 Jun → | ||
| 13–11 | 0.04 | 24% | 9 Jun → | ||
| 2–9 | -0.07 | 15% | 9 Jun → | ||
| 13–5 | 0.12 | 20% | 8 Jun → | ||
| 12–12 | 0.01 | 20% | 8 Jun → | ||
| 13–9 | -0.03 | 23% | 28 May → | ||
| 13–5 | 0.04 | 20% | 28 May → | ||
| 8–13 | -0.00 | 23% | 28 May → | ||
| 13–6 | 0.04 | 17% | 26 May → | ||
| 6–13 | -0.02 | 35% | 26 May → | ||
| 2–13 | -0.05 | 7% | 26 May → | ||
| 13–10 | 0.05 | 24% | 26 May → | ||
| 13–8 | -0.04 | 18% | 26 May → | ||
| 5–13 | -0.10 | 18% | 21 May → | ||
| 13–9 | 0.08 | 23% | 21 May → | ||
| 11–13 | 0.00 | 26% | 17 May → | ||
| 13–16 | 0.10 | 22% | 10 May → | ||
| 13–7 | 0.12 | 24% | 10 May → | ||
| 13–10 | 0.05 | 29% | 9 May → | ||
| 16–14 | 0.04 | 23% | 9 May → | ||
| 13–10 | 0.06 | 22% | 2 May → | ||
| 13–10 | 0.00 | 26% | 2 May → | ||
| 13–9 | 0.05 | 13% | 2 May → | ||
| 11–13 | 0.03 | 30% | 30 Apr → | ||
| 13–9 | 0.05 | 31% | 29 Apr → | ||
| 13–2 | 0.07 | 28% | 29 Apr → | ||
| 13–7 | 0.00 | 14% | 24 Apr → | ||
| 16–13 | 0.05 | 22% | 18 Apr → | ||
| 13–9 | 0.10 | 24% | 18 Apr → | ||
| 13–4 | 0.05 | 24% | 17 Apr → | ||
| 1–12 | -0.16 | 0% | 16 Apr → | ||
| 13–11 | -0.02 | 24% | 16 Apr → | ||
| 9–13 | -0.06 | 28% | 15 Apr → | ||
| 13–6 | 0.04 | 43% | 13 Apr → | ||
| 12–12 | 0.03 | 25% | 8 Apr → | ||
| 7–0 | 0.15 | 32% | 4 Apr → | ||
| 1–13 | -0.10 | 20% | 3 Apr → | ||
| 13–11 | 0.07 | 23% | 3 Apr → | ||
| 8–13 | 0.02 | 18% | 3 Apr → | ||
| 12–12 | -0.03 | 29% | 30 Mar → |
Match data via Leetify.