JAXEN! — CS2 Stats
CA76561198799201024[U:1:838935296]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | 49.1% | 52.8% |
| Shot accuracy | 11.2% | 13.7% |
| Kill/death ratio | 1.20 | 1.08 |
| Match win rate | 48.7% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 jL 95% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
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 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 23 | 13–10 | 57% | 0.03 | |
| office | A | 18 | 11–7 | 61% | 0.05 |
| C | 16 | 7–9 | 44% | 0.04 | |
| A | 8 | 5–3 | 63% | 0.03 | |
| B | 8 | 4–4 | 50% | 0.06 | |
| A | 7 | 4–3 | 57% | 0.12 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| B | 6 | 3–3 | 50% | 0.05 | |
| S | 5 | 4–1 | 80% | 0.01 | |
| — | 2 | 0–2 | 0% | 0.07 | |
| shelter | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Nuke 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 345 | 50% | 1.10 | 15.8 |
| Anubis | 266 | 58% | 1.14 | 16.0 |
| Dust2 | 203 | 52% | 1.09 | 15.8 |
| Ancient | 191 | 56% | 1.17 | 15.5 |
| Nuke | 144 | 51% | 1.20 | 16.1 |
| Inferno | 61 | 57% | 1.25 | 16.2 |
| Train | 53 | 58% | 1.31 | 16.2 |
| Overpass | 43 | 44% | 1.22 | 16.7 |
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 36.3904% — 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.
44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | -0.05 | 26% | 26 Aug → | ||
| 12–12 | 0.07 | 22% | 26 Aug → | ||
| 9–13 | 0.03 | 25% | 26 Aug → | ||
| office | 8–13 | 0.03 | 22% | 26 Aug → | |
| 10–13 | -0.01 | 18% | 26 Aug → | ||
| office | 13–7 | 0.15 | 39% | 23 Aug → | |
| 11–13 | -0.05 | 22% | 22 Aug → | ||
| 13–6 | 0.14 | 29% | 22 Aug → | ||
| office | 7–2 | 0.01 | 12% | 22 Aug → | |
| 13–7 | -0.01 | 20% | 21 Aug → | ||
| office | 13–11 | 0.04 | 24% | 21 Aug → | |
| 13–11 | 0.01 | 31% | 21 Aug → | ||
| 13–8 | 0.05 | 25% | 21 Aug → | ||
| 13–10 | -0.01 | 23% | 20 Aug → | ||
| 13–5 | 0.10 | 21% | 18 Aug → | ||
| 10–13 | -0.02 | 7% | 16 Aug → | ||
| 10–13 | -0.00 | 23% | 16 Aug → | ||
| 13–6 | 0.04 | 17% | 16 Aug → | ||
| 6–13 | -0.03 | 19% | 15 Aug → | ||
| 9–13 | -0.01 | 35% | 15 Aug → | ||
| 13–9 | -0.04 | 9% | 15 Aug → | ||
| office | 10–13 | 0.04 | 30% | 14 Aug → | |
| 2–13 | 0.03 | 34% | 14 Aug → | ||
| 12–12 | 0.06 | 28% | 14 Aug → | ||
| 13–9 | 0.01 | 17% | 13 Aug → | ||
| 13–10 | 0.10 | 23% | 13 Aug → | ||
| 0–4 | -0.12 | 0% | 12 Aug → | ||
| 7–13 | 0.07 | 28% | 12 Aug → | ||
| 12–12 | 0.09 | 24% | 12 Aug → | ||
| 4–13 | 0.00 | 18% | 12 Aug → | ||
| 7–13 | 0.03 | 25% | 12 Aug → | ||
| 10–13 | 0.07 | 29% | 12 Aug → | ||
| 9–13 | 0.03 | 19% | 11 Aug → | ||
| 13–8 | 0.11 | 22% | 11 Aug → | ||
| 7–13 | 0.13 | 29% | 11 Aug → | ||
| 5–13 | -0.02 | 23% | 11 Aug → | ||
| 6–13 | -0.00 | 30% | 11 Aug → | ||
| 13–7 | 0.02 | 26% | 11 Aug → | ||
| office | 13–11 | 0.03 | 33% | 11 Aug → | |
| 13–7 | 0.10 | 32% | 10 Aug → | ||
| 9–13 | -0.03 | 15% | 10 Aug → | ||
| 13–11 | 0.01 | 28% | 10 Aug → | ||
| office | 6–13 | 0.12 | 23% | 10 Aug → | |
| 13–8 | -0.00 | 13% | 10 Aug → | ||
| 2–13 | -0.01 | 29% | 9 Aug → | ||
| 13–8 | -0.00 | 21% | 9 Aug → | ||
| office | 12–12 | 0.03 | 30% | 9 Aug → | |
| 11–13 | 0.06 | 23% | 9 Aug → | ||
| 13–4 | -0.02 | 22% | 8 Aug → | ||
| 13–11 | 0.14 | 17% | 7 Aug → | ||
| 13–11 | 0.09 | 23% | 7 Aug → | ||
| 2–0 | 0.07 | 75% | 7 Aug → | ||
| 8–13 | 0.07 | 14% | 7 Aug → | ||
| 10–13 | 0.17 | 19% | 7 Aug → | ||
| 13–7 | 0.11 | 17% | 6 Aug → | ||
| office | 11–13 | 0.03 | 22% | 6 Aug → | |
| 13–10 | 0.12 | 29% | 6 Aug → | ||
| 11–13 | 0.00 | 21% | 6 Aug → | ||
| 12–12 | 0.05 | 18% | 4 Aug → | ||
| 13–4 | 0.09 | 22% | 4 Aug → | ||
| 9–13 | 0.14 | 23% | 4 Aug → | ||
| 13–7 | 0.09 | 23% | 4 Aug → | ||
| 13–6 | 0.17 | 21% | 4 Aug → | ||
| office | 13–9 | 0.11 | 23% | 4 Aug → | |
| office | 13–5 | 0.11 | 12% | 4 Aug → | |
| 13–6 | -0.01 | 24% | 3 Aug → | ||
| office | 13–4 | 0.11 | 27% | 3 Aug → | |
| 13–11 | 0.01 | 12% | 3 Aug → | ||
| 13–6 | 0.06 | 15% | 3 Aug → | ||
| 13–9 | -0.04 | 17% | 3 Aug → | ||
| 13–1 | 0.05 | 11% | 3 Aug → | ||
| 9–2 | 0.02 | 21% | 2 Aug → | ||
| 16–14 | 0.04 | 16% | 1 Aug → | ||
| 8–8 | -0.07 | 10% | 31 Jul → | ||
| 13–11 | 0.09 | 23% | 31 Jul → | ||
| 13–11 | 0.14 | 15% | 31 Jul → | ||
| 11–13 | 0.02 | 9% | 31 Jul → | ||
| shelter | 13–10 | 0.04 | 28% | 31 Jul → | |
| office | 13–10 | 0.01 | 24% | 31 Jul → | |
| 5–13 | 0.10 | 13% | 31 Jul → | ||
| 13–4 | 0.14 | 16% | 31 Jul → | ||
| 11–13 | -0.05 | 24% | 31 Jul → | ||
| 6–13 | 0.12 | 23% | 29 Jul → | ||
| 6–13 | 0.00 | 26% | 29 Jul → | ||
| 1–13 | -0.02 | 13% | 29 Jul → | ||
| office | 13–4 | 0.02 | 20% | 29 Jul → | |
| 13–8 | 0.02 | 25% | 29 Jul → | ||
| office | 0–6 | -0.16 | 0% | 28 Jul → | |
| 5–13 | 0.09 | 27% | 28 Jul → | ||
| 8–13 | 0.10 | 25% | 28 Jul → | ||
| office | 13–5 | 0.06 | 24% | 28 Jul → | |
| 13–10 | 0.03 | 18% | 28 Jul → | ||
| 13–5 | 0.06 | 34% | 28 Jul → | ||
| 9–5 | 0.06 | 28% | 27 Jul → | ||
| 9–3 | 0.16 | 16% | 27 Jul → | ||
| office | 9–13 | 0.09 | 23% | 27 Jul → | |
| 13–8 | 0.07 | 20% | 27 Jul → | ||
| 13–6 | 0.08 | 17% | 27 Jul → | ||
| 13–5 | 0.01 | 25% | 27 Jul → | ||
| office | 13–4 | 0.06 | 26% | 26 Jul → |
Match data via Leetify.