xUltima — CS2 Stats
US76561199192207104[U:1:1231941376]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.06 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Strong CT-side openerLimited utility dependenceReliable in 1v1s
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 88% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower opening-duel success; 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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 40% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 561ms 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 (×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 |
|---|---|---|---|---|---|
| S | 29 | 22–7 | 76% | 0.04 | |
| B | 29 | 13–16 | 45% | 0.01 | |
| A | 16 | 9–7 | 56% | 0.03 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| A | 10 | 6–4 | 60% | 0.03 | |
| — | 2 | 2–0 | 100% | 0.14 | |
| — | 2 | 1–1 | 50% | 0.05 | |
| — | 1 | 1–0 | 100% | 0.09 | |
| — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (45% over 29). Start with the 6 essential Dust 2 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 4 | 75% | 0.76 | 13.0 |
| Mirage | 4 | 75% | 1.32 | 16.3 |
| Inferno | 3 | 33% | 0.84 | 10.3 |
| Anubis | 3 | 33% | 1.42 | 11.7 |
| Nuke | 2 | 0% | 0.76 | 12.5 |
| Vertigo | 1 | 0% | 0.77 | 10.0 |
| Train | 1 | 0% | 0.84 | 16.0 |
| Overpass | 1 | 100% | 0.62 | 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.
- 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 0.4612 — below the 0.5 mark we flag
- 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 22.9008% — 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.
45% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.04 | 14% | 27 Aug → | ||
| 13–7 | 0.07 | 22% | 27 Aug → | ||
| 11–13 | 0.02 | 10% | 26 Aug → | ||
| 13–7 | 0.03 | 27% | 26 Aug → | ||
| 13–11 | 0.05 | 7% | 25 Aug → | ||
| 13–11 | 0.01 | 35% | 25 Aug → | ||
| 13–6 | 0.17 | 16% | 24 Aug → | ||
| 9–13 | 0.04 | 17% | 24 Aug → | ||
| 12–12 | 0.08 | 20% | 22 Aug → | ||
| 13–4 | 0.12 | 22% | 22 Aug → | ||
| 13–6 | 0.09 | 0% | 22 Aug → | ||
| 4–13 | -0.05 | 5% | 22 Aug → | ||
| 13–6 | 0.08 | 21% | 18 Aug → | ||
| 13–2 | 0.01 | 19% | 16 Aug → | ||
| 4–13 | -0.05 | 19% | 16 Aug → | ||
| 13–10 | -0.00 | 9% | 16 Aug → | ||
| 7–5 | -0.05 | 27% | 16 Aug → | ||
| 5–13 | -0.04 | 27% | 16 Aug → | ||
| 13–5 | 0.05 | 14% | 12 Aug → | ||
| 1–7 | -0.02 | 31% | 12 Aug → | ||
| 13–7 | 0.06 | 19% | 12 Aug → | ||
| 13–9 | 0.07 | 22% | 12 Aug → | ||
| 7–13 | 0.04 | 17% | 12 Aug → | ||
| 12–1 | 0.02 | 18% | 12 Aug → | ||
| 13–3 | 0.07 | 33% | 10 Aug → | ||
| 13–6 | 0.02 | 35% | 10 Aug → | ||
| 7–13 | -0.03 | 16% | 10 Aug → | ||
| 13–6 | 0.01 | 6% | 6 Aug → | ||
| 13–6 | 0.05 | 24% | 3 Aug → | ||
| 12–12 | 0.04 | 32% | 3 Aug → | ||
| 13–7 | 0.01 | 9% | 1 Aug → | ||
| 3–13 | 0.02 | 4% | 1 Aug → | ||
| 13–7 | 0.05 | 10% | 29 Jul → | ||
| 13–10 | 0.02 | 28% | 29 Jul → | ||
| 11–13 | -0.05 | 10% | 28 Jul → | ||
| 16–13 | -0.03 | 19% | 28 Jul → | ||
| 13–8 | 0.04 | 43% | 27 Jul → | ||
| 13–7 | -0.01 | 25% | 22 Jul → | ||
| 13–8 | 0.07 | 13% | 21 Jul → | ||
| 13–9 | 0.08 | 15% | 21 Jul → | ||
| 13–5 | 0.14 | 18% | 18 Jul → | ||
| 13–6 | 0.09 | 22% | 18 Jul → | ||
| 13–8 | -0.02 | 43% | 18 Jul → | ||
| 7–4 | -0.00 | 20% | 17 Jul → | ||
| 13–7 | 0.04 | 0% | 17 Jul → | ||
| 11–13 | -0.01 | 13% | 16 Jul → | ||
| 13–6 | -0.01 | 18% | 16 Jul → | ||
| 9–13 | -0.05 | 8% | 15 Jul → | ||
| 13–8 | 0.00 | 18% | 15 Jul → | ||
| 13–4 | 0.06 | 14% | 14 Jul → | ||
| 11–13 | 0.05 | 8% | 14 Jul → | ||
| 13–7 | 0.03 | 27% | 13 Jul → | ||
| 13–8 | 0.15 | 18% | 13 Jul → | ||
| 16–12 | 0.05 | 12% | 13 Jul → | ||
| 8–13 | -0.00 | 12% | 13 Jul → | ||
| 16–13 | 0.05 | 11% | 13 Jul → | ||
| 9–13 | 0.02 | 10% | 13 Jul → | ||
| 13–5 | 0.05 | 4% | 13 Jul → | ||
| 8–13 | 0.02 | 13% | 13 Jul → | ||
| 12–12 | 0.01 | 8% | 11 Jul → | ||
| 13–9 | 0.06 | 6% | 10 Jul → | ||
| 9–13 | -0.02 | 15% | 10 Jul → | ||
| 5–13 | -0.00 | 7% | 9 Jul → | ||
| 13–10 | 0.03 | 11% | 9 Jul → | ||
| 9–13 | 0.05 | 12% | 9 Jul → | ||
| 10–1 | 0.02 | 29% | 9 Jul → | ||
| 13–10 | 0.07 | 23% | 9 Jul → | ||
| 13–6 | 0.12 | 32% | 9 Jul → | ||
| 5–13 | -0.02 | 16% | 9 Jul → | ||
| 12–12 | 0.02 | 15% | 3 Jul → | ||
| 4–0 | 0.06 | 0% | 3 Jul → | ||
| 13–9 | 0.05 | 16% | 3 Jul → | ||
| 13–8 | 0.01 | 13% | 2 Jul → | ||
| 12–12 | -0.04 | 18% | 1 Jul → | ||
| 6–13 | -0.06 | 11% | 30 Jun → | ||
| 13–10 | 0.11 | 13% | 29 Jun → | ||
| 4–13 | -0.01 | 24% | 29 Jun → | ||
| 11–13 | -0.00 | 14% | 28 Jun → | ||
| 13–6 | 0.10 | 8% | 27 Jun → | ||
| 13–11 | 0.01 | 8% | 27 Jun → | ||
| 12–12 | 0.00 | 13% | 26 Jun → | ||
| 6–13 | -0.04 | 31% | 18 Jun → | ||
| 12–12 | 0.02 | 14% | 18 Jun → | ||
| 13–0 | 0.03 | 0% | 18 Jun → | ||
| 10–13 | -0.05 | 10% | 17 Jun → | ||
| 13–8 | -0.04 | 0% | 17 Jun → | ||
| 5–13 | -0.08 | 14% | 17 Jun → | ||
| 13–8 | -0.05 | 9% | 16 Jun → | ||
| 3–13 | -0.01 | 27% | 16 Jun → | ||
| 13–6 | 0.08 | 19% | 16 Jun → | ||
| 6–13 | -0.06 | 25% | 7 Jun → | ||
| 13–5 | 0.04 | 10% | 4 Jun → | ||
| 9–13 | 0.01 | 20% | 4 Jun → | ||
| 13–2 | 0.14 | 18% | 4 Jun → | ||
| 12–12 | -0.01 | 12% | 2 Jun → | ||
| 6–13 | 0.09 | 27% | 2 Jun → | ||
| 7–13 | -0.02 | 30% | 2 Jun → | ||
| 13–7 | 0.01 | 14% | 27 May → | ||
| 11–13 | -0.02 | 16% | 27 May → | ||
| 13–7 | 0.03 | 18% | 24 May → |
Match data via Leetify.