Larton1 — CS2 Stats
76561198991128120[U:1:1030862392]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 90% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: higher opening-fight frequency; 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
Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 553ms 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 (×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 |
|---|---|---|---|---|---|
| C | 26 | 11–15 | 42% | 0.05 | |
| C | 21 | 9–12 | 43% | 0.04 | |
| B | 13 | 7–6 | 54% | 0.03 | |
| A | 12 | 7–5 | 58% | 0.05 | |
| B | 8 | 4–4 | 50% | 0.03 | |
| C | 7 | 3–4 | 43% | -0.00 | |
| D | 5 | 0–5 | 0% | 0.04 | |
| — | 4 | 2–2 | 50% | 0.06 | |
| — | 1 | 0–1 | 0% | -0.03 | |
| — | 1 | 0–1 | 0% | 0.02 | |
| office | — | 1 | 0–1 | 0% | 0.01 |
| fachwerk | — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (0% over 5). 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.08 | 38% | 25 Aug → | ||
| 7–13 | 0.13 | 52% | 22 Aug → | ||
| 6–13 | 0.01 | 30% | 21 Aug → | ||
| 0–6 | -0.03 | 38% | 21 Aug → | ||
| 13–11 | 0.02 | 28% | 19 Aug → | ||
| 5–13 | 0.02 | 30% | 19 Aug → | ||
| 8–13 | 0.05 | 42% | 17 Aug → | ||
| office | 5–13 | 0.01 | 35% | 14 Aug → | |
| 6–13 | 0.05 | 40% | 12 Aug → | ||
| 7–13 | -0.04 | 24% | 28 Jul → | ||
| 13–3 | 0.08 | 40% | 28 Jul → | ||
| 13–7 | 0.07 | 37% | 28 Jul → | ||
| 11–5 | 0.04 | 38% | 27 Jul → | ||
| 6–13 | -0.02 | 20% | 24 Jul → | ||
| 9–13 | 0.03 | 50% | 24 Jul → | ||
| 13–10 | -0.04 | 31% | 23 Jul → | ||
| 13–8 | 0.06 | 35% | 23 Jul → | ||
| 13–7 | 0.04 | 33% | 23 Jul → | ||
| 13–10 | -0.02 | 32% | 23 Jul → | ||
| 11–13 | 0.00 | 29% | 23 Jul → | ||
| 7–13 | -0.01 | 27% | 22 Jul → | ||
| 13–5 | 0.05 | 28% | 22 Jul → | ||
| 6–13 | -0.06 | 35% | 22 Jul → | ||
| 4–13 | -0.02 | 35% | 21 Jul → | ||
| 13–9 | 0.01 | 26% | 21 Jul → | ||
| 7–13 | -0.04 | 38% | 21 Jul → | ||
| 13–10 | 0.06 | 25% | 21 Jul → | ||
| 8–13 | 0.06 | 40% | 21 Jul → | ||
| 9–13 | -0.04 | 24% | 21 Jul → | ||
| 13–11 | 0.09 | 28% | 20 Jul → | ||
| 13–9 | 0.01 | 24% | 20 Jul → | ||
| 13–11 | -0.02 | 50% | 20 Jul → | ||
| 13–11 | -0.01 | 33% | 20 Jul → | ||
| 13–6 | 0.07 | 56% | 20 Jul → | ||
| 13–9 | 0.04 | 29% | 20 Jul → | ||
| 15–15 | 0.04 | 31% | 19 Jul → | ||
| 11–1 | 0.21 | 35% | 19 Jul → | ||
| 14–16 | 0.01 | 33% | 19 Jul → | ||
| 13–9 | 0.01 | 34% | 19 Jul → | ||
| 7–0 | 0.10 | 26% | 19 Jul → | ||
| 11–13 | 0.03 | 36% | 19 Jul → | ||
| 7–13 | 0.06 | 31% | 18 Jul → | ||
| 13–11 | 0.07 | 38% | 18 Jul → | ||
| 4–13 | 0.00 | 21% | 17 Jul → | ||
| 9–13 | 0.01 | 43% | 17 Jul → | ||
| 10–13 | -0.01 | 33% | 17 Jul → | ||
| 3–13 | -0.07 | 20% | 17 Jul → | ||
| 13–7 | 0.07 | 26% | 16 Jul → | ||
| 13–16 | 0.08 | 34% | 16 Jul → | ||
| fachwerk | 13–8 | 0.06 | 58% | 16 Jul → | |
| 10–13 | -0.01 | 27% | 16 Jul → | ||
| 13–7 | 0.02 | 35% | 29 Jun → | ||
| 6–13 | -0.01 | 41% | 26 Jun → | ||
| 13–7 | 0.02 | 33% | 24 Jun → | ||
| 13–6 | 0.04 | 32% | 24 Jun → | ||
| 4–13 | 0.07 | 31% | 24 Jun → | ||
| 3–13 | 0.01 | 29% | 23 Jun → | ||
| 7–13 | -0.05 | 25% | 23 Jun → | ||
| 4–13 | 0.08 | 36% | 22 Jun → | ||
| 11–13 | 0.02 | 40% | 22 Jun → | ||
| 13–5 | 0.03 | 35% | 22 Jun → | ||
| 9–13 | 0.00 | 45% | 21 Jun → | ||
| 8–13 | 0.06 | 44% | 21 Jun → | ||
| 9–13 | -0.05 | 3% | 21 Jun → | ||
| 2–13 | 0.07 | 28% | 21 Jun → | ||
| 5–13 | 0.04 | 39% | 21 Jun → | ||
| 13–8 | 0.05 | 24% | 20 Jun → | ||
| 4–13 | 0.03 | 35% | 20 Jun → | ||
| 13–6 | 0.02 | 31% | 20 Jun → | ||
| 13–7 | 0.06 | 47% | 19 Jun → | ||
| 4–13 | 0.01 | 33% | 19 Jun → | ||
| 6–13 | 0.05 | 37% | 19 Jun → | ||
| 13–8 | 0.09 | 36% | 18 Jun → | ||
| 9–13 | 0.11 | 31% | 18 Jun → | ||
| 13–11 | 0.07 | 39% | 15 Jun → | ||
| 13–7 | 0.14 | 38% | 15 Jun → | ||
| 13–10 | 0.03 | 38% | 12 Jun → | ||
| 13–3 | 0.11 | 31% | 12 Jun → | ||
| 9–11 | 0.02 | 35% | 11 Jun → | ||
| 15–15 | 0.15 | 41% | 11 Jun → | ||
| 13–9 | 0.05 | 21% | 11 Jun → | ||
| 13–4 | 0.08 | 38% | 11 Jun → | ||
| 12–12 | 0.07 | 30% | 11 Jun → | ||
| 5–13 | -0.00 | 50% | 11 Jun → | ||
| 13–4 | 0.12 | 41% | 10 Jun → | ||
| 1–13 | -0.04 | 80% | 10 Jun → | ||
| 12–12 | 0.12 | 46% | 10 Jun → | ||
| 4–13 | 0.02 | 45% | 10 Jun → | ||
| 9–13 | 0.10 | 38% | 9 Jun → | ||
| 0–5 | -0.02 | 33% | 9 Jun → | ||
| 1–13 | -0.07 | 8% | 9 Jun → | ||
| 13–4 | 0.08 | 17% | 9 Jun → | ||
| 1–13 | 0.01 | 20% | 29 May → | ||
| 13–5 | 0.16 | 34% | 29 May → | ||
| 13–10 | 0.06 | 33% | 29 May → | ||
| 13–11 | 0.21 | 21% | 29 May → | ||
| 8–13 | 0.10 | 25% | 20 May → | ||
| 13–5 | 0.09 | 36% | 19 May → | ||
| 7–13 | -0.02 | 28% | 19 May → | ||
| 8–13 | 0.04 | 45% | 19 May → |
Match data via Leetify.
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