messi — CS2 Stats
76561199270936492[U:1:1310670764]
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 | Level 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 41.8% | 42.1% | 42.5% | meets |
| Shot accuracy | 11.4% | 12.1% | 10.9% | above |
| Kill/death ratio | 1.14 | 0.99 | 0.99 | above |
| Match win rate | 50.7% | 43.9% | 44.2% | above |
Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashes
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 iM 92% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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. 686ms 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 6.5/10 (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 |
|---|---|---|---|---|---|
 mirage | S | 25 | 17–8 | 68% | -0.01 |
 inferno | A | 19 | 12–7 | 63% | -0.00 |
 dust2 | A | 18 | 11–7 | 61% | -0.01 |
 anubis | S | 11 | 8–3 | 73% | -0.01 |
 ancient | A | 10 | 6–4 | 60% | -0.01 |
 nuke | S | 9 | 9–0 | 100% | 0.03 |
 cache | — | 3 | 2–1 | 67% | 0.00 |
 train | — | 2 | 1–1 | 50% | 0.01 |
| office | — | 2 | 0–2 | 0% | -0.02 |
| warden | — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (60% over 10). 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.
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 37.9862% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–7 | -0.01 | 20% | 19 Aug → | |
| mirage | 13–5 | 0.07 | 14% | 19 Aug → | |
| cache | 13–9 | 0.01 | 30% | 19 Aug → | |
| ancient | 1–13 | -0.00 | 16% | 19 Aug → | |
| cache | 15–15 | -0.01 | 21% | 18 Aug → | |
| mirage | 10–13 | -0.03 | 15% | 18 Aug → | |
| mirage | 13–11 | -0.00 | 17% | 17 Aug → | |
| anubis | 8–13 | -0.06 | 13% | 17 Aug → | |
| nuke | 13–9 | 0.06 | 28% | 17 Aug → | |
| inferno | 13–5 | 0.05 | 14% | 17 Aug → | |
| inferno | 5–9 | 0.04 | 25% | 17 Aug → | |
| inferno | 7–9 | -0.13 | 19% | 16 Aug → | |
| train | 12–12 | 0.03 | 22% | 16 Aug → | |
| mirage | 16–12 | -0.01 | 17% | 11 Aug → | |
| inferno | 5–13 | 0.02 | 35% | 11 Aug → | |
| ancient | 8–13 | -0.06 | 15% | 10 Aug → | |
| mirage | 13–11 | 0.04 | 15% | 10 Aug → | |
| cache | 13–7 | 0.01 | 23% | 10 Aug → | |
| dust2 | 13–11 | 0.04 | 13% | 10 Aug → | |
| office | 5–13 | 0.02 | 15% | 16 Jul → | |
| mirage | 10–13 | -0.00 | 15% | 24 Jun → | |
| dust2 | 13–4 | -0.03 | 36% | 23 Jun → | |
| mirage | 13–9 | 0.05 | 28% | 23 Jun → | |
| anubis | 8–13 | -0.02 | 12% | 23 Jun → | |
| train | 13–11 | -0.01 | 17% | 18 Jun → | |
| office | 9–13 | -0.05 | 9% | 17 Jun → | |
| inferno | 13–5 | 0.12 | 12% | 17 Jun → | |
| dust2 | 12–12 | 0.01 | 16% | 16 Jun → | |
| mirage | 13–6 | -0.05 | 26% | 15 Jun → | |
| nuke | 9–6 | -0.01 | 8% | 14 Jun → | |
| anubis | 13–6 | 0.03 | 14% | 3 Jun → | |
| dust2 | 5–13 | -0.01 | 15% | 3 Jun → | |
| mirage | 13–5 | 0.04 | 15% | 3 Jun → | |
| nuke | 13–7 | 0.01 | 19% | 3 Jun → | |
| inferno | 6–1 | -0.02 | 50% | 3 Jun → | |
| mirage | 13–8 | 0.07 | 32% | 3 Jun → | |
| ancient | 13–8 | -0.03 | 11% | 3 Jun → | |
| dust2 | 13–3 | 0.05 | 32% | 2 Jun → | |
| mirage | 13–6 | 0.12 | 11% | 31 May → | |
| mirage | 11–13 | -0.06 | 16% | 28 May → | |
| mirage | 7–13 | -0.03 | 11% | 27 May → | |
| mirage | 5–13 | -0.01 | 13% | 26 May → | |
| anubis | 13–8 | 0.01 | 12% | 26 May → | |
| ancient | 13–8 | 0.11 | 20% | 26 May → | |
| nuke | 16–13 | 0.05 | 18% | 25 May → | |
| anubis | 13–7 | 0.03 | 10% | 25 May → | |
| inferno | 13–2 | 0.08 | 16% | 25 May → | |
| ancient | 13–2 | -0.00 | 15% | 23 Apr → | |
| dust2 | 8–0 | -0.00 | 13% | 23 Apr → | |
| mirage | 16–14 | -0.04 | 13% | 23 Apr → | |
| dust2 | 13–3 | 0.02 | 28% | 23 Apr → | |
| ancient | 8–13 | -0.02 | 6% | 23 Apr → | |
| inferno | 6–1 | -0.08 | 40% | 23 Apr → | |
| ancient | 16–14 | 0.00 | 23% | 22 Apr → | |
| nuke | 9–1 | 0.14 | 16% | 22 Apr → | |
| inferno | 9–7 | 0.01 | 18% | 22 Apr → | |
| mirage | 2–13 | -0.01 | 14% | 21 Apr → | |
| ancient | 13–8 | -0.04 | 6% | 21 Apr → | |
| dust2 | 13–10 | -0.04 | 19% | 21 Apr → | |
| mirage | 1–13 | -0.12 | 24% | 21 Apr → | |
| inferno | 13–2 | -0.02 | 43% | 20 Apr → | |
| dust2 | 13–4 | 0.02 | 21% | 20 Apr → | |
| nuke | 13–5 | 0.04 | 40% | 20 Apr → | |
| inferno | 13–2 | -0.04 | 21% | 20 Apr → | |
| mirage | 13–5 | 0.01 | 10% | 20 Apr → | |
| dust2 | 6–13 | 0.02 | 8% | 20 Apr → | |
| inferno | 4–13 | 0.05 | 20% | 20 Apr → | |
| inferno | 13–10 | -0.07 | 19% | 12 Apr → | |
| mirage | 13–3 | -0.09 | 5% | 12 Apr → | |
| anubis | 13–11 | -0.08 | 21% | 12 Apr → | |
| mirage | 6–0 | -0.04 | 0% | 12 Apr → | |
| ancient | 7–13 | -0.06 | 13% | 7 Apr → | |
| nuke | 13–2 | 0.03 | 16% | 7 Apr → | |
| dust2 | 8–13 | -0.04 | 13% | 5 Apr → | |
| inferno | 7–13 | 0.01 | 11% | 1 Apr → | |
| dust2 | 12–12 | 0.00 | 29% | 1 Apr → | |
| warden | 6–1 | -0.05 | 11% | 1 Apr → | |
| mirage | 13–2 | -0.03 | 21% | 1 Apr → | |
| anubis | 13–1 | 0.08 | 4% | 1 Apr → | |
| dust2 | 16–14 | -0.05 | 30% | 1 Apr → | |
| mirage | 7–13 | -0.07 | 7% | 31 Mar → | |
| dust2 | 0–8 | -0.08 | 14% | 31 Mar → | |
| dust2 | 13–6 | -0.03 | 14% | 30 Mar → | |
| nuke | 16–13 | -0.06 | 13% | 30 Mar → | |
| inferno | 13–10 | 0.02 | 11% | 30 Mar → | |
| inferno | 2–13 | -0.03 | 16% | 29 Mar → | |
| anubis | 13–2 | -0.06 | 21% | 29 Mar → | |
| dust2 | 5–13 | 0.02 | 19% | 29 Mar → | |
| ancient | 13–5 | 0.03 | 9% | 29 Mar → | |
| dust2 | 13–9 | -0.03 | 6% | 28 Mar → | |
| anubis | 8–13 | -0.03 | 13% | 28 Mar → | |
| nuke | 13–5 | -0.01 | 22% | 28 Mar → | |
| inferno | 13–2 | 0.04 | 21% | 28 Mar → | |
| inferno | 1–13 | -0.07 | 11% | 27 Mar → | |
| mirage | 13–4 | 0.03 | 13% | 27 Mar → | |
| mirage | 12–5 | 0.02 | 18% | 27 Mar → | |
| dust2 | 13–8 | -0.03 | 14% | 27 Mar → | |
| mirage | 13–1 | -0.07 | 12% | 27 Mar → | |
| anubis | 13–7 | -0.04 | 13% | 26 Mar → | |
| anubis | 13–3 | 0.02 | 13% | 26 Mar → |
Match data via Leetify.