lalo — CS2 Stats
76561198276760039[U:1:316494311]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Pink band median |
|---|---|---|
| Headshot rate | 41.6% | 48.1% |
| Shot accuracy | 14.8% | 12.9% |
| Kill/death ratio | 1.27 | 1.08 |
| Match win rate | 44.4% | 46.5% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafing
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 s1mple 95% playstyle similarity
Most alike: aim profile, opening-fight frequency.
Where you differ: lower positioning 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
Strengths
Aim. Aim score of 98 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.
Reaction time. 564ms 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 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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% | 0.04 | |
| C | 26 | 9–17 | 35% | 0.04 | |
| D | 16 | 5–11 | 31% | 0.04 | |
| C | 12 | 5–7 | 42% | 0.02 | |
| C | 10 | 4–6 | 40% | 0.06 | |
| A | 7 | 4–3 | 57% | 0.04 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 106 | 57% | 1.18 | 17.3 |
| Inferno | 54 | 56% | 1.34 | 16.4 |
| Anubis | 31 | 52% | 1.08 | 14.9 |
| Ancient | 14 | 36% | 1.00 | 12.0 |
| Vertigo | 14 | 43% | 1.16 | 14.6 |
| Dust2 | 13 | 54% | 1.41 | 18.3 |
| Overpass | 12 | 50% | 1.84 | 21.6 |
| Train | 5 | 60% | 1.47 | 18.4 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.01 | 38% | 28 Aug → | ||
| 7–13 | -0.04 | 50% | 26 Aug → | ||
| 2–13 | -0.04 | 19% | 26 Aug → | ||
| 13–3 | 0.10 | 40% | 26 Aug → | ||
| 13–8 | 0.13 | 26% | 25 Aug → | ||
| 10–13 | 0.08 | 33% | 25 Aug → | ||
| 12–16 | -0.02 | 17% | 24 Aug → | ||
| 13–11 | 0.05 | 30% | 24 Aug → | ||
| 13–5 | 0.09 | 50% | 22 Aug → | ||
| 13–5 | 0.04 | 39% | 22 Aug → | ||
| 8–13 | 0.10 | 39% | 22 Aug → | ||
| 13–10 | 0.08 | 29% | 21 Aug → | ||
| 13–8 | 0.04 | 43% | 21 Aug → | ||
| 10–13 | 0.07 | 25% | 21 Aug → | ||
| 8–13 | 0.03 | 28% | 21 Aug → | ||
| 13–8 | 0.05 | 13% | 20 Aug → | ||
| 13–7 | -0.02 | 38% | 20 Aug → | ||
| 9–13 | 0.06 | 42% | 20 Aug → | ||
| 13–11 | 0.05 | 30% | 19 Aug → | ||
| 9–13 | 0.12 | 32% | 19 Aug → | ||
| 11–13 | 0.07 | 48% | 19 Aug → | ||
| 11–13 | 0.01 | 24% | 18 Aug → | ||
| 5–13 | 0.05 | 31% | 18 Aug → | ||
| 6–13 | -0.04 | 36% | 18 Aug → | ||
| 13–8 | 0.13 | 41% | 16 Aug → | ||
| 16–19 | 0.01 | 31% | 16 Aug → | ||
| 11–13 | 0.06 | 30% | 16 Aug → | ||
| 13–9 | -0.01 | 27% | 16 Aug → | ||
| 13–16 | 0.03 | 23% | 15 Aug → | ||
| 2–13 | -0.03 | 28% | 15 Aug → | ||
| 4–13 | -0.01 | 37% | 14 Aug → | ||
| 6–13 | 0.02 | 22% | 14 Aug → | ||
| 10–13 | 0.02 | 37% | 14 Aug → | ||
| 13–6 | 0.04 | 22% | 14 Aug → | ||
| 6–13 | 0.01 | 15% | 13 Aug → | ||
| 13–6 | 0.16 | 29% | 12 Aug → | ||
| 13–8 | 0.04 | 28% | 12 Aug → | ||
| 6–13 | 0.07 | 28% | 12 Aug → | ||
| 11–13 | 0.02 | 15% | 11 Aug → | ||
| 4–13 | -0.00 | 31% | 11 Aug → | ||
| 10–13 | 0.04 | 21% | 11 Aug → | ||
| 6–13 | 0.02 | 18% | 11 Aug → | ||
| 9–13 | 0.03 | 17% | 11 Aug → | ||
| 11–13 | -0.01 | 23% | 10 Aug → | ||
| 13–2 | 0.13 | 24% | 10 Aug → | ||
| 8–13 | -0.00 | 31% | 9 Aug → | ||
| 11–13 | 0.11 | 30% | 9 Aug → | ||
| 13–11 | 0.03 | 21% | 9 Aug → | ||
| 5–13 | 0.02 | 15% | 8 Aug → | ||
| 10–13 | -0.03 | 19% | 8 Aug → | ||
| 2–13 | -0.06 | 45% | 8 Aug → | ||
| 9–13 | 0.02 | 16% | 8 Aug → | ||
| 13–8 | -0.02 | 24% | 7 Aug → | ||
| 13–11 | 0.12 | 20% | 7 Aug → | ||
| 13–9 | 0.09 | 18% | 6 Aug → | ||
| 13–6 | 0.01 | 30% | 6 Aug → | ||
| 13–11 | 0.02 | 37% | 6 Aug → | ||
| 9–13 | 0.06 | 17% | 5 Aug → | ||
| 6–13 | 0.04 | 17% | 5 Aug → | ||
| 6–13 | -0.05 | 22% | 5 Aug → | ||
| 5–13 | 0.00 | 31% | 5 Aug → | ||
| 11–13 | 0.04 | 50% | 5 Aug → | ||
| 11–13 | 0.13 | 32% | 2 Aug → | ||
| 6–13 | 0.03 | 33% | 2 Aug → | ||
| 1–13 | -0.07 | 13% | 2 Aug → | ||
| 13–4 | 0.05 | 32% | 2 Aug → | ||
| 7–13 | -0.00 | 32% | 2 Aug → | ||
| 13–10 | 0.04 | 40% | 1 Aug → | ||
| 13–11 | 0.13 | 41% | 1 Aug → | ||
| 16–13 | -0.02 | 50% | 30 Jul → | ||
| 13–11 | 0.01 | 32% | 30 Jul → | ||
| 11–13 | 0.01 | 37% | 30 Jul → | ||
| 10–13 | 0.01 | 19% | 30 Jul → | ||
| 6–13 | 0.04 | 18% | 30 Jul → | ||
| 4–13 | -0.01 | 21% | 28 Jul → | ||
| 8–13 | -0.04 | 16% | 28 Jul → | ||
| 13–8 | 0.05 | 50% | 27 Jul → | ||
| 13–10 | 0.19 | 32% | 27 Jul → | ||
| 13–6 | 0.05 | 24% | 27 Jul → | ||
| 7–13 | 0.05 | 24% | 27 Jul → | ||
| 1–13 | 0.01 | 38% | 26 Jul → | ||
| 7–13 | 0.12 | 28% | 26 Jul → | ||
| 12–12 | 0.13 | 28% | 26 Jul → | ||
| 2–13 | -0.00 | 19% | 26 Jul → | ||
| 0–13 | -0.00 | 16% | 26 Jul → | ||
| 7–13 | 0.04 | 30% | 26 Jul → | ||
| 3–13 | 0.07 | 22% | 26 Jul → | ||
| 2–13 | -0.03 | 33% | 26 Jul → | ||
| 7–13 | 0.12 | 27% | 26 Jul → | ||
| 13–11 | 0.03 | 26% | 25 Jul → | ||
| 16–14 | 0.10 | 23% | 25 Jul → | ||
| 7–13 | -0.04 | 14% | 25 Jul → | ||
| 11–13 | 0.06 | 21% | 25 Jul → | ||
| 13–3 | 0.02 | 37% | 25 Jul → | ||
| 13–4 | 0.03 | 33% | 25 Jul → | ||
| 5–13 | 0.10 | 31% | 25 Jul → | ||
| 13–6 | 0.14 | 14% | 25 Jul → | ||
| 3–5 | 0.03 | 14% | 24 Jul → | ||
| 10–13 | 0.11 | 27% | 24 Jul → | ||
| 13–8 | 0.08 | 25% | 24 Jul → |
Match data via Leetify.