[d³∑x₂] — CS2 Stats
76561198103512664[U:1:143246936]
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 52% playstyle similarity
Most alike: opening-duel success, 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
T-side openings. Opening success drops from 29% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 694ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 56% 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 1.7/10 (Learning), 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 44 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 |
|---|---|---|---|---|---|
| office | C | 8 | 3–5 | 38% | -0.07 |
 nuke | B | 8 | 4–4 | 50% | -0.07 |
 inferno | D | 6 | 1–5 | 17% | -0.12 |
 vertigo | C | 5 | 2–3 | 40% | -0.07 |
 cache | — | 4 | 2–2 | 50% | -0.05 |
| debris | — | 3 | 1–2 | 33% | -0.05 |
 ancient | — | 2 | 2–0 | 100% | -0.08 |
 mirage | — | 2 | 1–1 | 50% | -0.05 |
| shelter | — | 1 | 0–1 | 0% | -0.09 |
 train | — | 1 | 0–1 | 0% | -0.12 |
 overpass | — | 1 | 1–0 | 100% | -0.07 |
| poseidon | — | 1 | 0–1 | 0% | -0.13 |
 anubis | — | 1 | 1–0 | 100% | -0.03 |
 dust2 | — | 1 | 0–1 | 0% | -0.11 |
Across the last 44 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno 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 14.6281° — above the 12° 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 10.2173% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2234 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 6–13 | -0.06 | 24% | 24 Aug → | |
| vertigo | 0–13 | -0.09 | 0% | 24 Aug → | |
| shelter | 12–12 | -0.09 | 14% | 24 Aug → | |
| office | 12–12 | -0.09 | 6% | 11 Aug → | |
| office | 13–5 | -0.05 | 12% | 8 Aug → | |
| train | 3–13 | -0.12 | 11% | 8 Aug → | |
| ancient | 13–6 | -0.07 | 4% | 8 Aug → | |
| debris | 5–9 | -0.04 | 8% | 4 Aug → | |
| inferno | 8–8 | -0.12 | 16% | 4 Aug → | |
| office | 1–8 | -0.12 | 0% | 3 Aug → | |
| vertigo | 2–13 | -0.08 | 12% | 3 Aug → | |
| vertigo | 13–6 | -0.05 | 6% | 3 Aug → | |
| office | 4–13 | -0.03 | 13% | 3 Aug → | |
| overpass | 13–9 | -0.07 | 11% | 28 Jul → | |
| nuke | 4–9 | -0.21 | 8% | 27 Jul → | |
| nuke | 8–8 | -0.08 | 8% | 27 Jul → | |
| nuke | 9–2 | 0.17 | 5% | 27 Jul → | |
| inferno | 2–9 | -0.23 | 13% | 27 Jul → | |
| inferno | 4–9 | -0.11 | 25% | 27 Jul → | |
| debris | 9–4 | 0.02 | 10% | 27 Jul → | |
| debris | 4–9 | -0.12 | 11% | 26 Jul → | |
| poseidon | 4–9 | -0.13 | 19% | 26 Jul → | |
| vertigo | 5–9 | -0.13 | 0% | 26 Jul → | |
| nuke | 2–9 | -0.11 | 3% | 26 Jul → | |
| inferno | 9–7 | -0.04 | 6% | 26 Jul → | |
| ancient | 13–5 | -0.08 | 8% | 24 Jul → | |
| anubis | 7–0 | -0.03 | 0% | 24 Jul → | |
| nuke | 9–2 | 0.00 | 13% | 23 Jul → | |
| cache | 13–11 | -0.07 | 10% | 23 Jul → | |
| office | 13–8 | -0.09 | 7% | 23 Jul → | |
| vertigo | 13–4 | -0.01 | 21% | 23 Jul → | |
| office | 2–13 | -0.10 | 0% | 23 Jul → | |
| nuke | 1–9 | -0.20 | 13% | 23 Jul → | |
| inferno | 1–9 | -0.12 | 16% | 20 Jul → | |
| nuke | 9–7 | -0.14 | 12% | 20 Jul → | |
| nuke | 9–3 | 0.03 | 9% | 20 Jul → | |
| inferno | 8–8 | -0.09 | 3% | 20 Jul → | |
| cache | 2–13 | -0.08 | 0% | 14 Jul → | |
| office | 13–10 | -0.05 | 12% | 13 Jul → | |
| dust2 | 6–13 | -0.11 | 13% | 12 Jul → | |
| mirage | 13–3 | 0.00 | 15% | 12 Jul → | |
| mirage | 12–12 | -0.09 | 8% | 10 Jul → | |
| cache | 13–10 | -0.01 | 16% | 10 Jul → | |
| cache | 11–13 | -0.04 | 14% | 10 Jul → |
Match data via Leetify.
