leo — CS2 Stats
76561198119383992[U:1:159118264]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.06 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 jL 91% playstyle similarity
Most alike: opening-duel success, 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
Reaction time. 562ms 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 |
|---|---|---|---|---|---|
| D | 22 | 6–16 | 27% | 0.02 | |
| B | 19 | 9–10 | 47% | 0.02 | |
| S | 16 | 12–4 | 75% | 0.06 | |
| S | 15 | 11–4 | 73% | 0.03 | |
| C | 10 | 4–6 | 40% | 0.04 | |
| B | 8 | 4–4 | 50% | 0.03 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| — | 4 | 3–1 | 75% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (27% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 225 | 53% | 1.16 | 16.7 |
| Ancient | 152 | 54% | 1.21 | 17.8 |
| Dust2 | 131 | 47% | 1.09 | 16.3 |
| Inferno | 122 | 52% | 1.16 | 16.3 |
| Anubis | 67 | 57% | 1.09 | 15.8 |
| Vertigo | 61 | 51% | 1.25 | 16.4 |
| Overpass | 42 | 57% | 1.05 | 15.8 |
| Nuke | 27 | 56% | 0.99 | 15.4 |
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 38.3719% — 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.
27% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.02 | 13% | 14 Jul → | ||
| 13–8 | 0.07 | 19% | 14 Jul → | ||
| 14–16 | -0.04 | 9% | 27 May → | ||
| 13–8 | 0.03 | 11% | 21 May → | ||
| 14–16 | -0.00 | 20% | 19 May → | ||
| 16–13 | 0.06 | 20% | 13 May → | ||
| 13–10 | 0.01 | 18% | 13 May → | ||
| 13–6 | 0.09 | 16% | 13 May → | ||
| 13–6 | 0.08 | 14% | 12 May → | ||
| 7–13 | -0.00 | 16% | 1 May → | ||
| 9–13 | -0.02 | 11% | 28 Apr → | ||
| 13–5 | 0.05 | 19% | 28 Apr → | ||
| 13–5 | -0.04 | 11% | 23 Apr → | ||
| 2–13 | -0.08 | 20% | 22 Apr → | ||
| 12–12 | -0.02 | 6% | 22 Apr → | ||
| 17–19 | -0.02 | 18% | 14 Apr → | ||
| 8–13 | -0.04 | 17% | 10 Apr → | ||
| 13–6 | -0.05 | 9% | 25 Mar → | ||
| 4–13 | -0.04 | 8% | 22 Mar → | ||
| 13–11 | 0.03 | 20% | 22 Mar → | ||
| 10–13 | 0.01 | 32% | 22 Mar → | ||
| 14–16 | 0.03 | 16% | 22 Mar → | ||
| 13–11 | -0.01 | 21% | 22 Mar → | ||
| 9–13 | 0.06 | 19% | 22 Mar → | ||
| 15–15 | 0.01 | 22% | 21 Mar → | ||
| 11–13 | -0.01 | 15% | 21 Mar → | ||
| 13–10 | 0.04 | 14% | 21 Mar → | ||
| 9–13 | 0.03 | 26% | 21 Mar → | ||
| 10–13 | 0.04 | 16% | 20 Mar → | ||
| 9–13 | 0.04 | 26% | 20 Mar → | ||
| 10–13 | 0.07 | 23% | 18 Mar → | ||
| 13–8 | 0.12 | 17% | 18 Mar → | ||
| 11–13 | 0.15 | 22% | 17 Mar → | ||
| 8–13 | 0.03 | 22% | 17 Mar → | ||
| 7–13 | 0.04 | 20% | 16 Mar → | ||
| 16–14 | 0.05 | 20% | 16 Mar → | ||
| 13–7 | 0.02 | 18% | 16 Mar → | ||
| 13–11 | 0.08 | 21% | 15 Mar → | ||
| 5–13 | -0.01 | 13% | 15 Mar → | ||
| 13–3 | 0.04 | 24% | 15 Mar → | ||
| 9–13 | 0.05 | 31% | 15 Mar → | ||
| 13–9 | 0.06 | 23% | 15 Mar → | ||
| 5–13 | -0.02 | 13% | 15 Mar → | ||
| 13–10 | 0.07 | 21% | 15 Mar → | ||
| 11–13 | 0.08 | 24% | 15 Mar → | ||
| 7–13 | -0.01 | 11% | 15 Mar → | ||
| 13–8 | 0.04 | 16% | 15 Mar → | ||
| 10–13 | 0.03 | 26% | 15 Mar → | ||
| 7–13 | -0.02 | 14% | 14 Mar → | ||
| 13–10 | -0.01 | 38% | 14 Mar → | ||
| 13–5 | 0.16 | 27% | 14 Mar → | ||
| 13–2 | 0.04 | 13% | 14 Mar → | ||
| 13–7 | 0.02 | 18% | 14 Mar → | ||
| 13–5 | 0.02 | 23% | 13 Mar → | ||
| 13–8 | 0.13 | 28% | 13 Mar → | ||
| 8–13 | 0.03 | 17% | 13 Mar → | ||
| 14–16 | 0.04 | 17% | 13 Mar → | ||
| 11–13 | 0.07 | 34% | 13 Mar → | ||
| 8–13 | -0.06 | 14% | 9 Mar → | ||
| 13–7 | 0.11 | 14% | 8 Mar → | ||
| 10–0 | 0.18 | 22% | 8 Mar → | ||
| 11–13 | 0.07 | 23% | 8 Mar → | ||
| 8–13 | -0.02 | 19% | 7 Mar → | ||
| 13–5 | 0.06 | 28% | 7 Mar → | ||
| 14–16 | 0.02 | 19% | 7 Mar → | ||
| 7–13 | -0.05 | 19% | 7 Mar → | ||
| 13–9 | 0.10 | 20% | 7 Mar → | ||
| 13–11 | 0.02 | 16% | 7 Mar → | ||
| 13–11 | 0.06 | 25% | 7 Mar → | ||
| 13–10 | 0.04 | 19% | 7 Mar → | ||
| 13–11 | 0.07 | 21% | 7 Mar → | ||
| 13–9 | -0.04 | 15% | 6 Mar → | ||
| 13–11 | 0.04 | 27% | 6 Mar → | ||
| 13–6 | 0.08 | 25% | 6 Mar → | ||
| 13–6 | 0.07 | 29% | 6 Mar → | ||
| 13–7 | 0.02 | 20% | 5 Mar → | ||
| 13–2 | 0.00 | 30% | 5 Mar → | ||
| 13–2 | 0.16 | 21% | 5 Mar → | ||
| 13–9 | -0.04 | 23% | 5 Mar → | ||
| 6–13 | 0.02 | 26% | 5 Mar → | ||
| 13–7 | -0.02 | 19% | 4 Mar → | ||
| 13–11 | 0.02 | 21% | 4 Mar → | ||
| 9–13 | 0.10 | 17% | 4 Mar → | ||
| 14–16 | -0.04 | 18% | 4 Mar → | ||
| 5–13 | -0.03 | 14% | 3 Mar → | ||
| 13–9 | 0.01 | 23% | 3 Mar → | ||
| 10–13 | 0.08 | 23% | 3 Mar → | ||
| 8–13 | -0.01 | 11% | 28 Feb → | ||
| 16–12 | 0.07 | 16% | 28 Feb → | ||
| 13–11 | 0.04 | 19% | 28 Feb → | ||
| 16–13 | 0.12 | 17% | 28 Feb → | ||
| 15–15 | -0.05 | 11% | 28 Feb → | ||
| 13–7 | 0.03 | 25% | 28 Feb → | ||
| 12–12 | 0.08 | 15% | 22 Feb → | ||
| 11–13 | 0.04 | 33% | 22 Feb → | ||
| 7–13 | 0.06 | 26% | 22 Feb → | ||
| 8–13 | 0.03 | 31% | 19 Feb → | ||
| 11–2 | 0.00 | 27% | 18 Feb → | ||
| 13–5 | 0.07 | 17% | 17 Feb → | ||
| 2–13 | -0.05 | 9% | 17 Feb → |
Match data via Leetify.