Xanthic — CS2 Stats
76561198981035882[U:1:1020770154]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerLimited 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 ropz 91% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: 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
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 58% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 562ms 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 6.1/10 (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 |
|---|---|---|---|---|---|
| A | 42 | 26–16 | 62% | 0.03 | |
| B | 16 | 8–8 | 50% | 0.03 | |
| S | 12 | 8–4 | 67% | 0.04 | |
| D | 8 | 2–6 | 25% | 0.00 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| S | 5 | 5–0 | 100% | 0.13 | |
| D | 5 | 1–4 | 20% | -0.00 | |
| — | 3 | 0–3 | 0% | -0.01 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (20% over 5). 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 78 | 53% | 1.12 | 16.1 |
| Ancient | 34 | 50% | 1.14 | 17.0 |
| Anubis | 28 | 43% | 1.05 | 16.3 |
| Nuke | 27 | 63% | 1.36 | 17.9 |
| Inferno | 27 | 67% | 1.20 | 16.5 |
| Dust2 | 26 | 54% | 1.18 | 16.0 |
| Vertigo | 13 | 69% | 1.24 | 16.5 |
| Overpass | 5 | 80% | 0.87 | 13.8 |
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.7035 — below the 4 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 36.0516% — 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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.01 | 28% | 20 Aug → | ||
| 13–9 | 0.04 | 36% | 19 Aug → | ||
| 4–11 | -0.04 | 39% | 14 Jul → | ||
| 13–10 | 0.01 | 28% | 10 Jul → | ||
| 13–6 | 0.02 | 29% | 9 Jul → | ||
| 15–15 | 0.04 | 25% | 8 Jul → | ||
| 13–6 | -0.02 | 37% | 8 Jul → | ||
| 5–13 | -0.07 | 15% | 8 Jul → | ||
| 13–5 | 0.07 | 21% | 6 Jul → | ||
| 13–4 | 0.21 | 33% | 6 Jul → | ||
| 13–6 | 0.03 | 21% | 5 Jul → | ||
| 13–4 | 0.12 | 35% | 5 Jul → | ||
| 16–13 | -0.00 | 21% | 4 Jul → | ||
| 13–8 | 0.06 | 18% | 2 Jul → | ||
| 7–13 | -0.04 | 10% | 2 Jul → | ||
| 13–4 | 0.07 | 11% | 1 Jul → | ||
| 8–13 | 0.01 | 30% | 1 Jul → | ||
| 8–13 | 0.03 | 29% | 30 Jun → | ||
| 13–6 | 0.18 | 28% | 30 Jun → | ||
| 8–13 | -0.01 | 35% | 30 Jun → | ||
| 13–9 | 0.09 | 32% | 29 Jun → | ||
| 13–11 | 0.11 | 19% | 29 Jun → | ||
| 10–13 | 0.06 | 22% | 29 Jun → | ||
| 13–4 | 0.10 | 32% | 25 Jun → | ||
| 8–13 | 0.01 | 42% | 25 Jun → | ||
| 5–13 | 0.03 | 31% | 24 Jun → | ||
| 2–13 | -0.02 | 33% | 24 Jun → | ||
| 11–13 | 0.11 | 29% | 24 Jun → | ||
| 8–13 | -0.01 | 12% | 24 Jun → | ||
| 13–9 | 0.05 | 31% | 23 Jun → | ||
| 3–8 | -0.04 | 27% | 23 Jun → | ||
| 13–3 | 0.20 | 29% | 23 Jun → | ||
| 8–13 | -0.00 | 21% | 23 Jun → | ||
| 13–9 | 0.10 | 31% | 22 Jun → | ||
| 12–12 | -0.01 | 17% | 22 Jun → | ||
| 4–0 | 0.14 | 24% | 22 Jun → | ||
| 13–11 | 0.17 | 30% | 21 Jun → | ||
| 13–2 | 0.14 | 31% | 21 Jun → | ||
| 11–13 | 0.02 | 25% | 21 Jun → | ||
| 0–13 | -0.03 | 5% | 21 Jun → | ||
| 13–9 | 0.03 | 31% | 21 Jun → | ||
| 13–9 | 0.10 | 29% | 3 Jun → | ||
| 9–13 | -0.02 | 18% | 30 May → | ||
| 6–13 | -0.01 | 12% | 30 May → | ||
| 8–13 | 0.01 | 21% | 29 May → | ||
| 10–13 | -0.01 | 34% | 29 May → | ||
| 13–3 | -0.02 | 16% | 28 May → | ||
| 13–11 | -0.01 | 21% | 28 May → | ||
| 19–22 | 0.01 | 27% | 27 May → | ||
| 13–4 | 0.01 | 30% | 27 May → | ||
| 11–13 | 0.05 | 19% | 27 May → | ||
| 16–14 | -0.01 | 20% | 27 May → | ||
| 11–13 | 0.02 | 19% | 26 May → | ||
| 13–1 | 0.04 | 23% | 26 May → | ||
| 13–10 | 0.08 | 22% | 25 May → | ||
| 13–4 | -0.05 | 33% | 23 May → | ||
| 2–13 | 0.00 | 33% | 23 May → | ||
| 13–11 | 0.04 | 26% | 23 May → | ||
| 13–9 | 0.09 | 21% | 23 May → | ||
| 13–10 | 0.04 | 27% | 23 May → | ||
| 13–2 | 0.04 | 23% | 22 May → | ||
| 13–8 | 0.01 | 15% | 22 May → | ||
| 13–7 | 0.01 | 28% | 22 May → | ||
| 16–13 | 0.06 | 20% | 22 May → | ||
| 13–5 | 0.03 | 34% | 22 May → | ||
| 13–4 | 0.05 | 21% | 21 May → | ||
| 10–13 | -0.03 | 22% | 21 May → | ||
| 2–13 | 0.02 | 20% | 20 May → | ||
| 3–8 | -0.02 | 17% | 20 May → | ||
| 13–16 | 0.02 | 24% | 19 May → | ||
| 6–13 | -0.01 | 28% | 19 May → | ||
| 13–3 | 0.06 | 28% | 19 May → | ||
| 14–16 | 0.03 | 34% | 18 May → | ||
| 16–14 | -0.02 | 23% | 18 May → | ||
| 13–6 | 0.10 | 21% | 18 May → | ||
| 13–9 | 0.04 | 24% | 18 May → | ||
| 12–16 | -0.08 | 6% | 16 May → | ||
| 13–11 | -0.05 | 34% | 16 May → | ||
| 1–9 | 0.01 | 21% | 16 May → | ||
| 11–13 | -0.00 | 18% | 16 May → | ||
| 10–13 | -0.01 | 20% | 15 May → | ||
| 16–13 | 0.04 | 20% | 15 May → | ||
| 13–8 | 0.12 | 25% | 15 May → | ||
| 11–13 | 0.02 | 15% | 15 May → | ||
| 13–9 | 0.06 | 25% | 15 May → | ||
| 8–2 | 0.01 | 20% | 15 May → | ||
| 4–13 | -0.04 | 18% | 14 May → | ||
| 11–13 | -0.02 | 20% | 14 May → | ||
| 13–6 | 0.07 | 20% | 14 May → | ||
| 11–13 | -0.00 | 22% | 14 May → | ||
| 13–4 | 0.07 | 20% | 14 May → | ||
| 11–13 | -0.01 | 18% | 14 May → | ||
| 1–8 | -0.03 | 13% | 14 May → | ||
| 0–13 | -0.01 | 13% | 14 May → | ||
| 8–13 | -0.06 | 32% | 14 May → | ||
| 11–13 | 0.06 | 22% | 14 May → | ||
| 13–5 | 0.04 | 44% | 14 May → | ||
| 13–0 | 0.02 | 13% | 14 May → | ||
| 13–9 | -0.07 | 18% | 13 May → | ||
| 13–11 | 0.07 | 34% | 13 May → |
Match data via Leetify.