A$AP LARRY — CS2 Stats
76561198917208260[U:1:956942532]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.09 avg rating
Player DNA
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 57% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower 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
Areas to improve
Reaction time. 754ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 2.4/10 (Learning), 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 |
|---|---|---|---|---|---|
 inferno | D | 33 | 6–27 | 18% | -0.07 |
 dust2 | C | 28 | 11–17 | 39% | -0.04 |
 mirage | S | 11 | 8–3 | 73% | -0.06 |
 nuke | D | 9 | 3–6 | 33% | -0.03 |
 ancient | D | 6 | 2–4 | 33% | -0.05 |
 train | S | 5 | 4–1 | 80% | -0.04 |
 anubis | — | 3 | 1–2 | 33% | 0.04 |
 overpass | — | 2 | 2–0 | 100% | -0.06 |
| poseidon | — | 1 | 0–1 | 0% | -0.21 |
| agency | — | 1 | 0–1 | 0% | -0.07 |
 vertigo | — | 1 | 0–1 | 0% | -0.17 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (18% over 33). Start with the 6 essential Inferno 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.
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.8628° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.4309% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 754.0782ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
18% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 11–13 | -0.07 | 10% | 10 Aug → | |
| ancient | 9–13 | -0.12 | 29% | 10 Aug → | |
| dust2 | 13–16 | 0.04 | 19% | 26 Jun → | |
| inferno | 13–10 | 0.11 | 31% | 26 Jun → | |
| anubis | 15–15 | 0.07 | 13% | 26 Jun → | |
| anubis | 11–13 | 0.09 | 15% | 12 Jun → | |
| inferno | 5–13 | -0.11 | 18% | 17 Feb → | |
| nuke | 13–4 | -0.08 | 10% | 17 Feb → | |
| inferno | 3–9 | -0.15 | 24% | 17 Feb → | |
| dust2 | 7–13 | -0.09 | 7% | 17 Feb → | |
| inferno | 4–9 | -0.22 | 16% | 12 Feb → | |
| poseidon | 1–9 | -0.21 | 0% | 12 Feb → | |
| dust2 | 6–13 | -0.10 | 14% | 11 Feb → | |
| dust2 | 13–4 | -0.10 | 0% | 7 Feb → | |
| nuke | 3–13 | -0.09 | 4% | 7 Feb → | |
| mirage | 13–11 | -0.09 | 11% | 7 Feb → | |
| dust2 | 13–9 | -0.09 | 9% | 23 Sept → | |
| inferno | 5–9 | -0.18 | 8% | 23 Sept → | |
| nuke | 8–8 | -0.05 | 17% | 23 Sept → | |
| mirage | 13–7 | -0.04 | 5% | 17 Sept → | |
| nuke | 8–13 | -0.05 | 5% | 17 Sept → | |
| dust2 | 5–13 | -0.02 | 6% | 16 Sept → | |
| mirage | 13–5 | -0.05 | 6% | 16 Sept → | |
| ancient | 13–8 | -0.07 | 3% | 15 Sept → | |
| nuke | 13–9 | -0.05 | 23% | 15 Sept → | |
| train | 13–10 | -0.02 | 11% | 15 Sept → | |
| dust2 | 13–10 | -0.04 | 24% | 15 Sept → | |
| train | 13–7 | -0.09 | 14% | 12 Sept → | |
| inferno | 9–13 | -0.06 | 12% | 9 Sept → | |
| mirage | 10–13 | -0.04 | 9% | 18 Aug → | |
| inferno | 4–13 | -0.12 | 15% | 18 Aug → | |
| inferno | 12–12 | -0.06 | 17% | 12 Aug → | |
| inferno | 13–3 | -0.02 | 14% | 12 Aug → | |
| dust2 | 10–13 | -0.05 | 7% | 10 Aug → | |
| overpass | 9–2 | -0.04 | 8% | 6 Aug → | |
| nuke | 10–13 | -0.06 | 13% | 6 Aug → | |
| dust2 | 12–12 | 0.02 | 9% | 6 Aug → | |
| train | 13–2 | -0.02 | 8% | 6 Aug → | |
| dust2 | 1–6 | -0.07 | 0% | 5 Aug → | |
| inferno | 13–6 | 0.03 | 10% | 3 Aug → | |
| ancient | 5–13 | -0.07 | 2% | 3 Aug → | |
| dust2 | 6–13 | -0.15 | 16% | 3 Aug → | |
| dust2 | 13–10 | -0.04 | 7% | 3 Aug → | |
| mirage | 13–1 | -0.06 | 11% | 2 Aug → | |
| dust2 | 8–13 | -0.05 | 10% | 30 Jul → | |
| dust2 | 1–13 | -0.03 | 12% | 30 Jul → | |
| inferno | 10–13 | -0.07 | 9% | 30 Jul → | |
| mirage | 12–2 | -0.04 | 17% | 30 Jul → | |
| agency | 2–13 | -0.07 | 13% | 15 May → | |
| dust2 | 10–13 | -0.05 | 6% | 14 May → | |
| dust2 | 10–13 | -0.00 | 10% | 14 May → | |
| inferno | 12–12 | -0.03 | 10% | 14 May → | |
| mirage | 7–13 | -0.05 | 16% | 13 May → | |
| dust2 | 11–13 | -0.02 | 9% | 13 May → | |
| nuke | 4–13 | -0.05 | 5% | 8 May → | |
| dust2 | 13–5 | -0.01 | 14% | 6 May → | |
| inferno | 7–9 | -0.05 | 2% | 6 May → | |
| inferno | 6–9 | -0.06 | 4% | 6 May → | |
| dust2 | 2–13 | -0.05 | 2% | 6 May → | |
| dust2 | 4–13 | -0.03 | 2% | 5 May → | |
| mirage | 13–8 | -0.11 | 8% | 2 May → | |
| anubis | 13–9 | -0.03 | 5% | 1 May → | |
| dust2 | 13–5 | -0.07 | 23% | 1 May → | |
| dust2 | 12–12 | -0.07 | 14% | 1 May → | |
| nuke | 4–9 | -0.01 | 19% | 1 May → | |
| inferno | 1–9 | -0.20 | 43% | 1 May → | |
| inferno | 4–9 | -0.09 | 3% | 28 Apr → | |
| inferno | 9–7 | -0.04 | 3% | 28 Apr → | |
| inferno | 7–9 | 0.00 | 6% | 28 Apr → | |
| inferno | 5–9 | -0.18 | 7% | 28 Apr → | |
| dust2 | 13–9 | -0.03 | 10% | 23 Apr → | |
| inferno | 11–13 | -0.08 | 4% | 20 Apr → | |
| mirage | 1–13 | -0.11 | 7% | 20 Apr → | |
| train | 12–12 | -0.06 | 5% | 20 Apr → | |
| ancient | 12–12 | -0.03 | 8% | 20 Apr → | |
| vertigo | 2–9 | -0.17 | 12% | 20 Apr → | |
| inferno | 3–9 | -0.07 | 13% | 20 Apr → | |
| inferno | 9–7 | -0.01 | 5% | 20 Apr → | |
| inferno | 8–8 | -0.00 | 4% | 20 Apr → | |
| inferno | 3–9 | -0.25 | 17% | 20 Apr → | |
| inferno | 5–9 | -0.03 | 3% | 20 Apr → | |
| overpass | 9–4 | -0.09 | 9% | 19 Apr → | |
| dust2 | 13–1 | -0.03 | 12% | 19 Apr → | |
| train | 13–5 | 0.01 | 9% | 19 Apr → | |
| inferno | 8–8 | -0.04 | 10% | 17 Apr → | |
| inferno | 2–9 | -0.20 | 6% | 17 Apr → | |
| inferno | 6–9 | 0.01 | 5% | 17 Apr → | |
| inferno | 8–8 | -0.00 | 14% | 17 Apr → | |
| inferno | 6–9 | 0.02 | 13% | 17 Apr → | |
| inferno | 7–9 | -0.07 | 12% | 17 Apr → | |
| dust2 | 13–7 | -0.01 | 9% | 17 Apr → | |
| dust2 | 13–7 | 0.05 | 18% | 17 Apr → | |
| inferno | 8–8 | 0.01 | 6% | 17 Apr → | |
| inferno | 13–2 | 0.03 | 9% | 16 Apr → | |
| nuke | 3–0 | 0.15 | 13% | 16 Apr → | |
| mirage | 13–10 | -0.06 | 8% | 15 Apr → | |
| dust2 | 13–5 | 0.02 | 12% | 14 Apr → | |
| ancient | 13–6 | 0.04 | 8% | 13 Apr → | |
| dust2 | 10–13 | -0.03 | 9% | 13 Apr → | |
| mirage | 13–4 | -0.05 | 15% | 13 Apr → |
Match data via Leetify.
