Legalins — CS2 Stats
76561198112835353[U:1:152569625]
How this compares with the same rank
Median values for Grey band among CSDB-tracked players (n=369), 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 | Grey band median | Light Blue band median | vs Light Blue band |
|---|---|---|---|---|
| Headshot rate | 30.6% | 37.5% | 39.7% | 9.1% short |
| Shot accuracy | 0.2% | 4.5% | 6.7% | 6.4% short |
| Kill/death ratio | 0.68 | 0.82 | 0.91 | 0.23 short |
| Match win rate | 25.7% | 39.1% | 42.1% | 16.4% short |
This profile sits below the typical Light Blue band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.02 avg rating
Player DNA
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 NiKo 67% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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. 802ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 44% 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 1.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | D | 24 | 6–18 | 25% | -0.03 |
 dust2 | B | 23 | 11–12 | 48% | -0.03 |
 nuke | C | 13 | 5–8 | 38% | -0.03 |
 anubis | D | 11 | 2–9 | 18% | -0.06 |
 ancient | A | 8 | 5–3 | 63% | -0.03 |
 inferno | D | 8 | 2–6 | 25% | -0.05 |
 cache | S | 6 | 4–2 | 67% | -0.04 |
 train | — | 4 | 2–2 | 50% | -0.02 |
 vertigo | — | 1 | 1–0 | 100% | 0.02 |
 overpass | — | 1 | 0–1 | 0% | -0.07 |
| office | — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Anubis 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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.7344° — above the 12° mark we flag
- Movement GuidePractice Config →
Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.
Counter-strafing 43.8931% — below the 45% mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 8.2277% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 6–13 | -0.06 | 13% | 28 Aug → | |
| ancient | 4–13 | -0.07 | 3% | 28 Aug → | |
| dust2 | 10–13 | -0.06 | 7% | 24 Aug → | |
| mirage | 13–10 | -0.01 | 13% | 24 Aug → | |
| inferno | 10–13 | -0.09 | 9% | 24 Aug → | |
| nuke | 13–8 | -0.05 | 10% | 19 Aug → | |
| cache | 13–3 | -0.02 | 6% | 19 Aug → | |
| dust2 | 13–7 | -0.00 | 10% | 19 Aug → | |
| mirage | 5–13 | -0.08 | 7% | 19 Aug → | |
| mirage | 13–3 | -0.01 | 3% | 4 Aug → | |
| mirage | 13–5 | 0.04 | 28% | 4 Aug → | |
| inferno | 9–13 | -0.06 | 5% | 3 Aug → | |
| dust2 | 13–7 | -0.04 | 2% | 3 Aug → | |
| mirage | 9–13 | -0.03 | 8% | 3 Aug → | |
| dust2 | 6–13 | -0.05 | 5% | 3 Aug → | |
| mirage | 4–13 | -0.06 | 12% | 22 Jul → | |
| nuke | 2–13 | -0.07 | 12% | 22 Jul → | |
| nuke | 13–4 | 0.05 | 5% | 22 Jul → | |
| mirage | 2–13 | -0.00 | 24% | 20 Jul → | |
| anubis | 9–13 | -0.06 | 10% | 20 Jul → | |
| mirage | 1–13 | -0.09 | 0% | 20 Jul → | |
| nuke | 1–8 | 0.03 | 5% | 20 Jul → | |
| mirage | 13–16 | 0.02 | 7% | 15 Jul → | |
| anubis | 2–13 | -0.03 | 2% | 15 Jul → | |
| dust2 | 8–13 | -0.05 | 6% | 15 Jul → | |
| cache | 13–7 | -0.03 | 11% | 15 Jul → | |
| nuke | 8–13 | -0.07 | 1% | 14 Jul → | |
| mirage | 6–13 | -0.05 | 3% | 13 Jul → | |
| nuke | 13–6 | 0.10 | 11% | 13 Jul → | |
| dust2 | 13–10 | -0.04 | 12% | 13 Jul → | |
| ancient | 13–8 | 0.05 | 8% | 7 Jul → | |
| mirage | 7–13 | 0.02 | 7% | 7 Jul → | |
| cache | 13–4 | 0.01 | 4% | 1 Jul → | |
| cache | 4–13 | -0.04 | 2% | 1 Jul → | |
| cache | 13–3 | -0.01 | 5% | 1 Jul → | |
| mirage | 11–13 | 0.04 | 11% | 29 Jun → | |
| mirage | 9–13 | -0.01 | 11% | 29 Jun → | |
| inferno | 3–13 | -0.03 | 11% | 29 Jun → | |
| dust2 | 13–4 | -0.03 | 4% | 29 Jun → | |
| mirage | 8–13 | -0.04 | 5% | 29 Jun → | |
| ancient | 3–0 | 0.08 | 20% | 29 Jun → | |
| dust2 | 5–13 | 0.04 | 13% | 29 Jun → | |
| anubis | 3–13 | -0.08 | 4% | 25 Jun → | |
| mirage | 6–13 | 0.00 | 12% | 25 Jun → | |
| mirage | 9–13 | -0.05 | 6% | 24 Jun → | |
| dust2 | 13–8 | -0.13 | 3% | 24 Jun → | |
| mirage | 7–13 | -0.04 | 2% | 24 Jun → | |
| mirage | 11–13 | -0.08 | 4% | 24 Jun → | |
| inferno | 15–15 | -0.07 | 12% | 24 Jun → | |
| nuke | 4–13 | -0.11 | 7% | 24 Jun → | |
| inferno | 13–3 | -0.06 | 6% | 24 Jun → | |
| dust2 | 13–5 | 0.03 | 13% | 22 Jun → | |
| inferno | 13–5 | 0.04 | 8% | 22 Jun → | |
| dust2 | 13–1 | 0.08 | 10% | 22 Jun → | |
| ancient | 0–13 | -0.10 | 0% | 22 Jun → | |
| dust2 | 10–13 | 0.04 | 3% | 22 Jun → | |
| train | 13–5 | 0.08 | 8% | 20 Jun → | |
| dust2 | 10–13 | -0.05 | 11% | 19 Jun → | |
| mirage | 9–13 | -0.01 | 9% | 19 Jun → | |
| inferno | 10–13 | -0.04 | 8% | 18 Jun → | |
| train | 7–13 | -0.07 | 6% | 18 Jun → | |
| train | 13–9 | -0.07 | 6% | 17 Jun → | |
| train | 11–13 | -0.01 | 10% | 17 Jun → | |
| ancient | 13–4 | -0.04 | 6% | 16 Jun → | |
| anubis | 9–13 | -0.03 | 13% | 15 Jun → | |
| nuke | 7–13 | -0.07 | 14% | 12 Jun → | |
| ancient | 13–4 | 0.01 | 11% | 12 Jun → | |
| nuke | 13–2 | -0.07 | 8% | 11 Jun → | |
| dust2 | 13–6 | -0.06 | 13% | 11 Jun → | |
| dust2 | 8–13 | 0.03 | 8% | 10 Jun → | |
| mirage | 11–13 | -0.05 | 3% | 3 Jun → | |
| dust2 | 8–13 | -0.08 | 14% | 3 Jun → | |
| nuke | 3–13 | -0.05 | 11% | 3 Jun → | |
| vertigo | 13–7 | 0.02 | 8% | 3 Jun → | |
| anubis | 9–13 | -0.08 | 5% | 3 Jun → | |
| mirage | 13–2 | -0.01 | 6% | 1 Jun → | |
| dust2 | 13–9 | -0.06 | 4% | 1 Jun → | |
| mirage | 5–13 | -0.05 | 8% | 28 May → | |
| overpass | 11–13 | -0.07 | 5% | 28 May → | |
| mirage | 13–4 | 0.00 | 8% | 28 May → | |
| anubis | 3–13 | -0.11 | 7% | 27 May → | |
| anubis | 0–13 | -0.09 | 4% | 27 May → | |
| anubis | 11–13 | -0.04 | 2% | 27 May → | |
| ancient | 13–2 | -0.10 | 8% | 27 May → | |
| anubis | 13–8 | -0.10 | 9% | 27 May → | |
| anubis | 6–0 | 0.00 | 6% | 27 May → | |
| dust2 | 3–13 | -0.05 | 10% | 26 May → | |
| mirage | 13–2 | -0.07 | 14% | 26 May → | |
| nuke | 2–13 | -0.05 | 5% | 25 May → | |
| anubis | 9–13 | -0.09 | 6% | 21 May → | |
| ancient | 0–11 | -0.07 | 0% | 21 May → | |
| dust2 | 1–13 | -0.12 | 7% | 17 May → | |
| cache | 2–13 | -0.14 | 10% | 17 May → | |
| dust2 | 13–0 | 0.02 | 5% | 17 May → | |
| nuke | 13–10 | -0.02 | 12% | 16 May → | |
| nuke | 6–13 | -0.03 | 8% | 16 May → | |
| inferno | 9–13 | -0.07 | 6% | 14 May → | |
| dust2 | 13–7 | -0.02 | 5% | 13 May → | |
| dust2 | 5–13 | -0.08 | 7% | 13 May → | |
| office | 1–13 | -0.10 | 10% | 13 May → |
Match data via Leetify.