lara — CS2 Stats
76561198204511769[U:1:244246041]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.05 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 Twistzz 91% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Counter-strafing. Only 61% 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 5.4/10 (Developing), 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 |
|---|---|---|---|---|---|
 ancient | S | 35 | 24–11 | 69% | 0.03 |
 inferno | B | 24 | 11–13 | 46% | 0.02 |
 nuke | A | 9 | 5–4 | 56% | 0.02 |
 dust2 | A | 7 | 4–3 | 57% | 0.03 |
 mirage | A | 7 | 4–3 | 57% | 0.01 |
 anubis | A | 5 | 3–2 | 60% | 0.05 |
 overpass | — | 4 | 2–2 | 50% | 0.04 |
 train | — | 3 | 1–2 | 33% | -0.04 |
 cache | — | 2 | 1–1 | 50% | 0.03 |
 vertigo | — | 2 | 1–1 | 50% | 0.01 |
| office | — | 2 | 1–1 | 50% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (46% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 2085 | 55% | 1.20 | 19.3 |
| Vertigo | 1153 | 54% | 1.15 | 18.7 |
| Inferno | 1107 | 49% | 1.10 | 18.2 |
| Nuke | 598 | 46% | 1.06 | 17.6 |
| Mirage | 537 | 46% | 1.00 | 16.8 |
| Dust2 | 469 | 43% | 0.99 | 16.7 |
| Overpass | 289 | 45% | 1.06 | 17.7 |
| Train | 246 | 46% | 1.09 | 17.8 |
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.
- 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 13.2664° — above the 12° mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
46% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 6–13 | 0.06 | 22% | 19 Aug → | |
| inferno | 13–11 | -0.00 | 18% | 23 Jul → | |
| ancient | 13–4 | 0.06 | 20% | 22 Jul → | |
| ancient | 13–7 | 0.12 | 29% | 21 Jul → | |
| inferno | 13–3 | 0.13 | 24% | 21 Jul → | |
| nuke | 16–14 | 0.01 | 20% | 18 Jul → | |
| ancient | 6–13 | -0.03 | 23% | 14 Jul → | |
| ancient | 10–13 | 0.05 | 16% | 11 Jul → | |
| cache | 13–11 | 0.06 | 30% | 9 Jul → | |
| dust2 | 13–3 | 0.06 | 16% | 9 Jul → | |
| ancient | 13–4 | -0.00 | 15% | 8 Jul → | |
| ancient | 13–9 | 0.05 | 20% | 8 Jul → | |
| cache | 5–13 | -0.00 | 31% | 6 Jul → | |
| ancient | 28–26 | -0.01 | 21% | 3 Jul → | |
| inferno | 13–10 | 0.05 | 30% | 1 Jul → | |
| overpass | 13–8 | 0.07 | 29% | 21 Jun → | |
| ancient | 13–11 | -0.00 | 14% | 18 Jun → | |
| nuke | 13–5 | 0.01 | 38% | 15 Jun → | |
| mirage | 7–13 | -0.04 | 32% | 14 Jun → | |
| inferno | 16–12 | -0.06 | 11% | 12 Jun → | |
| inferno | 8–1 | 0.03 | 16% | 12 Jun → | |
| mirage | 16–12 | -0.05 | 24% | 11 Jun → | |
| ancient | 10–13 | 0.03 | 12% | 10 Jun → | |
| inferno | 13–9 | -0.00 | 17% | 9 Jun → | |
| ancient | 13–11 | 0.02 | 20% | 9 Jun → | |
| ancient | 4–13 | 0.00 | 15% | 9 Jun → | |
| dust2 | 13–7 | 0.04 | 18% | 5 Jun → | |
| anubis | 13–10 | 0.04 | 24% | 2 Jun → | |
| nuke | 13–7 | 0.08 | 27% | 30 May → | |
| ancient | 13–10 | 0.06 | 19% | 28 May → | |
| inferno | 13–7 | 0.08 | 20% | 27 May → | |
| inferno | 13–10 | 0.05 | 13% | 26 May → | |
| inferno | 10–13 | 0.07 | 25% | 25 May → | |
| ancient | 13–5 | 0.04 | 20% | 23 May → | |
| ancient | 13–11 | 0.00 | 24% | 23 May → | |
| ancient | 13–11 | 0.06 | 28% | 18 May → | |
| dust2 | 13–6 | 0.08 | 27% | 21 Apr → | |
| vertigo | 13–0 | 0.02 | 33% | 21 Apr → | |
| ancient | 13–9 | 0.12 | 18% | 14 Apr → | |
| nuke | 9–13 | 0.05 | 30% | 14 Apr → | |
| anubis | 13–9 | 0.05 | 22% | 2 Apr → | |
| inferno | 13–2 | 0.07 | 26% | 1 Apr → | |
| inferno | 9–13 | 0.01 | 28% | 31 Mar → | |
| inferno | 9–13 | 0.01 | 25% | 25 Mar → | |
| ancient | 16–13 | 0.02 | 9% | 25 Mar → | |
| office | 11–13 | 0.03 | 36% | 18 Mar → | |
| office | 13–9 | -0.00 | 32% | 18 Mar → | |
| mirage | 13–7 | 0.10 | 19% | 21 Feb → | |
| inferno | 13–16 | -0.02 | 19% | 19 Feb → | |
| inferno | 8–13 | -0.02 | 26% | 17 Feb → | |
| overpass | 4–13 | 0.04 | 34% | 15 Feb → | |
| ancient | 2–13 | -0.04 | 14% | 13 Feb → | |
| ancient | 13–16 | 0.00 | 22% | 11 Feb → | |
| mirage | 10–13 | 0.00 | 10% | 11 Feb → | |
| nuke | 13–5 | 0.03 | 27% | 3 Feb → | |
| ancient | 9–13 | 0.02 | 23% | 30 Jan → | |
| overpass | 8–13 | 0.04 | 23% | 27 Jan → | |
| ancient | 13–10 | 0.04 | 32% | 22 Jan → | |
| inferno | 13–11 | 0.11 | 22% | 21 Jan → | |
| ancient | 13–10 | 0.05 | 20% | 21 Jan → | |
| dust2 | 7–13 | -0.03 | 11% | 19 Jan → | |
| ancient | 5–13 | 0.02 | 13% | 18 Jan → | |
| mirage | 6–13 | 0.02 | 31% | 16 Jan → | |
| mirage | 16–14 | -0.05 | 29% | 15 Jan → | |
| anubis | 12–16 | 0.05 | 25% | 11 Jan → | |
| inferno | 7–13 | -0.00 | 22% | 10 Jan → | |
| dust2 | 13–5 | 0.04 | 10% | 10 Jan → | |
| train | 13–9 | -0.05 | 13% | 8 Jan → | |
| ancient | 13–10 | -0.01 | 23% | 8 Jan → | |
| ancient | 13–7 | 0.10 | 26% | 3 Jan → | |
| nuke | 5–13 | -0.09 | 5% | 3 Jan → | |
| inferno | 3–13 | 0.02 | 32% | 31 Dec → | |
| train | 7–13 | -0.11 | 12% | 31 Dec → | |
| overpass | 13–4 | 0.00 | 15% | 31 Dec → | |
| dust2 | 10–13 | 0.00 | 31% | 31 Dec → | |
| nuke | 7–13 | -0.02 | 19% | 29 Dec → | |
| inferno | 4–13 | -0.05 | 24% | 26 Dec → | |
| ancient | 9–13 | -0.05 | 35% | 17 Dec → | |
| dust2 | 11–13 | 0.04 | 21% | 17 Dec → | |
| ancient | 13–5 | 0.04 | 43% | 14 Dec → | |
| anubis | 13–8 | 0.08 | 17% | 11 Dec → | |
| ancient | 13–11 | 0.03 | 15% | 10 Dec → | |
| ancient | 13–8 | 0.06 | 17% | 3 Dec → | |
| ancient | 13–8 | -0.04 | 14% | 3 Dec → | |
| mirage | 13–8 | 0.08 | 22% | 1 Dec → | |
| ancient | 14–16 | 0.07 | 20% | 1 Dec → | |
| ancient | 13–5 | 0.06 | 21% | 1 Dec → | |
| nuke | 13–6 | 0.11 | 21% | 1 Dec → | |
| ancient | 13–8 | 0.02 | 30% | 14 Nov → | |
| anubis | 12–12 | 0.03 | 31% | 14 Nov → | |
| inferno | 5–13 | 0.08 | 28% | 31 Oct → | |
| ancient | 13–7 | 0.08 | 19% | 30 Oct → | |
| inferno | 14–16 | -0.01 | 12% | 29 Oct → | |
| train | 17–19 | 0.04 | 28% | 27 Oct → | |
| inferno | 4–13 | -0.03 | 15% | 27 Oct → | |
| nuke | 14–16 | -0.04 | 23% | 23 Oct → | |
| vertigo | 6–13 | 0.01 | 28% | 22 Oct → | |
| ancient | 9–13 | 0.02 | 22% | 21 Oct → | |
| inferno | 11–13 | 0.00 | 26% | 21 Oct → | |
| inferno | 19–15 | 0.03 | 11% | 16 Oct → |
Match data via Leetify.
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