AxL — CS2 Stats
76561198024509769[U:1:64244041]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -60pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 92% playstyle similarity
Most alike: opening-duel success, utility contribution.
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
Reaction time. 583ms 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 |
|---|---|---|---|---|---|
 mirage | C | 15 | 6–9 | 40% | -0.01 |
 nuke | S | 13 | 9–4 | 69% | 0.01 |
 inferno | S | 13 | 10–3 | 77% | 0.03 |
 cache | C | 12 | 5–7 | 42% | 0.01 |
 dust2 | S | 12 | 9–3 | 75% | 0.02 |
 ancient | C | 11 | 4–7 | 36% | 0.01 |
 train | S | 8 | 7–1 | 88% | 0.02 |
 overpass | S | 6 | 4–2 | 67% | -0.01 |
 anubis | D | 6 | 2–4 | 33% | -0.03 |
| cache_b | — | 4 | 3–1 | 75% | 0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 8 | 62% | 1.05 | 15.1 |
| Nuke | 4 | 50% | 0.91 | 19.8 |
| Mirage | 4 | 75% | 0.75 | 12.8 |
| Anubis | 3 | 33% | 0.95 | 15.3 |
| Train | 3 | 67% | 0.99 | 13.3 |
| Dust2 | 3 | 100% | 1.82 | 17.3 |
| Ancient | 2 | 0% | 0.82 | 13.5 |
| Vertigo | 1 | 0% | 0.27 | 4.0 |
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.
- 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 32.1505% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–6 | -0.03 | 18% | 27 Aug → | |
| nuke | 6–13 | -0.04 | 14% | 26 Aug → | |
| cache | 14–16 | -0.01 | 15% | 26 Aug → | |
| inferno | 13–8 | 0.05 | 17% | 26 Aug → | |
| mirage | 9–13 | 0.01 | 16% | 21 Aug → | |
| cache | 9–13 | 0.03 | 13% | 16 Aug → | |
| overpass | 4–13 | -0.03 | 8% | 8 Aug → | |
| cache | 5–13 | -0.05 | 40% | 8 Aug → | |
| ancient | 21–25 | 0.03 | 11% | 5 Aug → | |
| inferno | 11–13 | -0.00 | 26% | 5 Aug → | |
| cache | 19–16 | 0.02 | 16% | 5 Aug → | |
| anubis | 3–13 | -0.10 | 17% | 4 Aug → | |
| dust2 | 13–11 | 0.01 | 12% | 3 Aug → | |
| train | 13–9 | -0.05 | 16% | 3 Aug → | |
| overpass | 13–8 | 0.04 | 9% | 3 Aug → | |
| train | 13–8 | 0.12 | 15% | 2 Aug → | |
| anubis | 13–9 | -0.03 | 19% | 2 Aug → | |
| cache | 6–13 | 0.01 | 21% | 2 Aug → | |
| mirage | 13–10 | -0.06 | 9% | 1 Aug → | |
| inferno | 13–4 | 0.08 | 19% | 30 Jul → | |
| cache | 16–13 | 0.01 | 18% | 21 Jul → | |
| inferno | 13–5 | 0.02 | 11% | 6 Jul → | |
| cache | 11–13 | -0.01 | 12% | 6 Jul → | |
| ancient | 13–11 | -0.00 | 13% | 6 Jul → | |
| overpass | 5–13 | -0.01 | 19% | 5 Jul → | |
| cache | 13–6 | 0.06 | 14% | 1 Jul → | |
| nuke | 13–4 | -0.00 | 12% | 30 Jun → | |
| dust2 | 0–9 | -0.08 | 27% | 29 Jun → | |
| ancient | 13–4 | 0.12 | 16% | 28 Jun → | |
| cache | 8–13 | 0.06 | 25% | 28 Jun → | |
| inferno | 6–13 | -0.00 | 6% | 27 Jun → | |
| cache | 13–2 | 0.03 | 27% | 27 Jun → | |
| cache | 16–14 | -0.02 | 10% | 18 Jun → | |
| ancient | 5–13 | -0.04 | 17% | 31 May → | |
| nuke | 3–13 | -0.03 | 18% | 17 May → | |
| cache | 7–13 | -0.03 | 10% | 17 May → | |
| inferno | 13–11 | 0.07 | 11% | 17 May → | |
| inferno | 13–7 | 0.02 | 9% | 15 May → | |
| ancient | 8–13 | 0.02 | 9% | 19 Apr → | |
| cache_b | 16–14 | 0.05 | 14% | 21 Mar → | |
| cache_b | 16–13 | 0.05 | 25% | 15 Mar → | |
| inferno | 16–14 | 0.05 | 7% | 1 Mar → | |
| overpass | 19–15 | -0.02 | 11% | 26 Feb → | |
| nuke | 11–13 | -0.01 | 18% | 25 Feb → | |
| inferno | 13–5 | 0.12 | 19% | 17 Feb → | |
| nuke | 13–5 | 0.09 | 26% | 5 Jan → | |
| mirage | 10–13 | -0.02 | 9% | 3 Jan → | |
| ancient | 11–13 | 0.00 | 14% | 3 Jan → | |
| nuke | 9–7 | 0.12 | 9% | 27 Dec → | |
| mirage | 7–13 | -0.01 | 10% | 21 Dec → | |
| train | 5–13 | -0.05 | 17% | 20 Dec → | |
| mirage | 2–13 | -0.03 | 19% | 12 Dec → | |
| dust2 | 8–13 | 0.02 | 9% | 4 Dec → | |
| dust2 | 13–6 | -0.04 | 15% | 30 Nov → | |
| dust2 | 13–5 | 0.05 | 13% | 29 Nov → | |
| anubis | 9–13 | 0.00 | 20% | 23 Nov → | |
| nuke | 13–10 | 0.03 | 25% | 23 Nov → | |
| cache_b | 8–13 | -0.01 | 11% | 23 Nov → | |
| cache_b | 13–9 | 0.06 | 19% | 22 Nov → | |
| mirage | 11–13 | -0.02 | 11% | 8 Nov → | |
| ancient | 6–13 | -0.05 | 14% | 8 Nov → | |
| mirage | 13–11 | -0.00 | 21% | 7 Nov → | |
| nuke | 13–7 | 0.01 | 13% | 7 Nov → | |
| ancient | 13–10 | 0.05 | 8% | 5 Nov → | |
| dust2 | 13–4 | 0.12 | 24% | 5 Nov → | |
| mirage | 10–13 | 0.05 | 20% | 4 Nov → | |
| overpass | 6–2 | -0.05 | 17% | 1 Nov → | |
| ancient | 13–10 | 0.01 | 14% | 1 Nov → | |
| train | 13–8 | 0.04 | 9% | 1 Nov → | |
| dust2 | 16–14 | 0.03 | 13% | 5 Oct → | |
| nuke | 19–17 | -0.00 | 12% | 24 Aug → | |
| mirage | 9–13 | -0.02 | 12% | 23 Aug → | |
| overpass | 13–8 | 0.02 | 21% | 21 Aug → | |
| ancient | 11–13 | -0.01 | 16% | 30 Jul → | |
| mirage | 13–5 | -0.01 | 19% | 30 Jul → | |
| nuke | 16–19 | -0.03 | 10% | 5 Jul → | |
| nuke | 13–8 | -0.02 | 3% | 5 Jun → | |
| inferno | 3–13 | -0.01 | 9% | 31 May → | |
| train | 13–8 | 0.07 | 6% | 31 May → | |
| mirage | 13–8 | 0.01 | 18% | 12 May → | |
| dust2 | 13–4 | 0.07 | 14% | 12 May → | |
| mirage | 8–13 | -0.01 | 8% | 11 May → | |
| dust2 | 13–9 | 0.01 | 10% | 8 May → | |
| dust2 | 13–8 | -0.06 | 24% | 7 May → | |
| mirage | 16–14 | -0.03 | 10% | 6 May → | |
| anubis | 13–8 | -0.00 | 17% | 28 Apr → | |
| inferno | 13–6 | 0.01 | 29% | 28 Apr → | |
| train | 13–5 | -0.04 | 21% | 24 Apr → | |
| inferno | 13–10 | -0.00 | 12% | 24 Apr → | |
| anubis | 8–13 | -0.02 | 11% | 18 Apr → | |
| nuke | 13–6 | 0.02 | 15% | 18 Apr → | |
| mirage | 11–13 | -0.02 | 16% | 18 Apr → | |
| train | 13–9 | 0.03 | 22% | 16 Apr → | |
| dust2 | 7–13 | 0.01 | 27% | 14 Apr → | |
| anubis | 4–13 | -0.04 | 18% | 10 Apr → | |
| inferno | 13–7 | 0.01 | 16% | 8 Apr → | |
| mirage | 13–7 | -0.06 | 8% | 8 Apr → | |
| train | 13–6 | 0.06 | 11% | 7 Apr → | |
| dust2 | 13–4 | 0.05 | 8% | 7 Apr → | |
| ancient | 10–13 | 0.01 | 11% | 7 Apr → |
Match data via Leetify.
