bladeey — CS2 Stats
76561198393263456[U:1:432997728]
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: Passive Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 74% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower opening-fight frequency; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 614ms 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 4.7/10 (Developing), 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 |
|---|---|---|---|---|---|
 inferno | C | 23 | 10–13 | 43% | -0.00 |
 ancient | A | 17 | 10–7 | 59% | -0.03 |
 mirage | D | 12 | 2–10 | 17% | -0.01 |
 nuke | D | 11 | 3–8 | 27% | -0.01 |
 cache | B | 10 | 5–5 | 50% | -0.00 |
 anubis | S | 9 | 6–3 | 67% | 0.02 |
 overpass | A | 7 | 4–3 | 57% | 0.01 |
 train | — | 4 | 2–2 | 50% | -0.02 |
 vertigo | — | 2 | 1–1 | 50% | -0.02 |
 dust2 | — | 2 | 0–2 | 0% | -0.02 |
| boulder | — | 1 | 1–0 | 100% | 0.02 |
| alpine | — | 1 | 1–0 | 100% | 0.01 |
| office | — | 1 | 0–1 | 0% | 0.08 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
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.
- 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 13.6649% — 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 0.4356 — below the 0.5 mark we flag
- 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 28.5877% — 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.
17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 10–13 | -0.04 | 13% | 25 Aug → | |
| ancient | 8–13 | -0.04 | 24% | 20 Aug → | |
| nuke | 6–13 | -0.03 | 14% | 20 Aug → | |
| cache | 9–13 | -0.05 | 8% | 18 Aug → | |
| boulder | 13–9 | 0.02 | 21% | 18 Aug → | |
| overpass | 10–13 | -0.04 | 5% | 5 Aug → | |
| cache | 1–13 | -0.07 | 6% | 20 Jul → | |
| overpass | 8–13 | -0.01 | 9% | 30 Jun → | |
| cache | 13–9 | -0.01 | 23% | 30 Jun → | |
| inferno | 11–13 | -0.05 | 8% | 30 Jun → | |
| mirage | 8–13 | -0.03 | 16% | 29 Jun → | |
| mirage | 3–3 | -0.00 | 0% | 29 Jun → | |
| ancient | 13–9 | 0.02 | 8% | 29 Jun → | |
| mirage | 11–13 | -0.05 | 15% | 29 Jun → | |
| vertigo | 1–6 | -0.05 | 10% | 26 Jun → | |
| mirage | 4–13 | -0.07 | 11% | 26 Jun → | |
| cache | 7–13 | -0.01 | 12% | 23 Jun → | |
| ancient | 2–13 | -0.04 | 20% | 23 Jun → | |
| anubis | 13–9 | -0.00 | 14% | 17 Jun → | |
| ancient | 13–11 | -0.00 | 9% | 8 Jun → | |
| cache | 3–13 | -0.03 | 4% | 15 May → | |
| cache | 13–8 | 0.07 | 16% | 7 May → | |
| cache | 13–7 | 0.07 | 22% | 6 May → | |
| cache | 13–11 | 0.04 | 17% | 1 May → | |
| cache | 13–10 | 0.03 | 14% | 1 May → | |
| ancient | 13–11 | -0.08 | 5% | 22 Apr → | |
| mirage | 2–13 | -0.08 | 11% | 21 Apr → | |
| inferno | 13–10 | 0.06 | 10% | 17 Apr → | |
| ancient | 9–13 | -0.07 | 31% | 17 Apr → | |
| mirage | 7–13 | -0.02 | 22% | 29 Mar → | |
| ancient | 5–13 | -0.10 | 4% | 22 Mar → | |
| alpine | 13–10 | 0.01 | 25% | 22 Mar → | |
| inferno | 6–13 | -0.05 | 12% | 23 Feb → | |
| nuke | 8–13 | -0.11 | 5% | 16 Feb → | |
| inferno | 13–11 | -0.06 | 19% | 14 Feb → | |
| anubis | 10–13 | -0.03 | 14% | 14 Feb → | |
| mirage | 10–13 | 0.06 | 18% | 9 Feb → | |
| ancient | 4–13 | -0.09 | 13% | 30 Jan → | |
| inferno | 9–13 | 0.02 | 10% | 26 Jan → | |
| anubis | 13–6 | -0.03 | 26% | 23 Jan → | |
| ancient | 13–8 | -0.03 | 14% | 18 Jan → | |
| train | 12–12 | -0.02 | 12% | 17 Jan → | |
| anubis | 13–5 | 0.11 | 26% | 13 Jan → | |
| anubis | 2–12 | -0.08 | 0% | 10 Jan → | |
| ancient | 13–11 | -0.04 | 8% | 10 Jan → | |
| train | 8–13 | -0.06 | 6% | 10 Jan → | |
| inferno | 13–5 | 0.03 | 17% | 7 Jan → | |
| nuke | 9–13 | -0.05 | 9% | 7 Jan → | |
| dust2 | 6–13 | 0.05 | 18% | 30 Dec → | |
| inferno | 13–10 | 0.03 | 17% | 28 Dec → | |
| dust2 | 0–5 | -0.08 | 0% | 28 Dec → | |
| ancient | 8–13 | 0.05 | 9% | 28 Dec → | |
| inferno | 2–3 | 0.20 | 4% | 28 Dec → | |
| inferno | 8–8 | -0.00 | 29% | 28 Dec → | |
| inferno | 1–9 | -0.17 | 12% | 28 Dec → | |
| anubis | 13–10 | 0.08 | 23% | 26 Dec → | |
| overpass | 13–8 | 0.02 | 14% | 25 Dec → | |
| mirage | 7–13 | 0.02 | 20% | 25 Dec → | |
| vertigo | 13–10 | 0.00 | 12% | 23 Dec → | |
| office | 2–13 | 0.08 | 5% | 22 Dec → | |
| inferno | 13–2 | 0.05 | 0% | 21 Dec → | |
| mirage | 11–13 | -0.02 | 11% | 20 Dec → | |
| ancient | 13–3 | 0.09 | 27% | 18 Dec → | |
| nuke | 13–6 | 0.07 | 11% | 9 Dec → | |
| anubis | 13–6 | 0.07 | 31% | 5 Dec → | |
| inferno | 7–13 | -0.00 | 11% | 5 Dec → | |
| ancient | 9–13 | 0.03 | 33% | 3 Dec → | |
| nuke | 7–13 | -0.05 | 15% | 29 Nov → | |
| inferno | 10–13 | 0.01 | 9% | 29 Nov → | |
| inferno | 13–6 | -0.05 | 22% | 28 Nov → | |
| overpass | 14–16 | -0.02 | 12% | 25 Nov → | |
| overpass | 13–9 | 0.07 | 16% | 24 Nov → | |
| overpass | 13–4 | -0.00 | 16% | 22 Nov → | |
| anubis | 9–13 | -0.01 | 12% | 21 Nov → | |
| inferno | 13–4 | 0.02 | 9% | 21 Nov → | |
| ancient | 13–9 | -0.04 | 10% | 20 Nov → | |
| inferno | 7–13 | -0.02 | 13% | 20 Nov → | |
| anubis | 13–2 | 0.11 | 16% | 19 Nov → | |
| nuke | 11–13 | 0.01 | 18% | 18 Nov → | |
| inferno | 13–10 | -0.01 | 27% | 18 Nov → | |
| mirage | 6–13 | 0.02 | 18% | 18 Nov → | |
| ancient | 13–3 | -0.06 | 19% | 17 Nov → | |
| inferno | 13–16 | -0.03 | 6% | 13 Nov → | |
| train | 13–2 | -0.00 | 13% | 13 Nov → | |
| ancient | 13–8 | 0.00 | 10% | 12 Nov → | |
| mirage | 15–15 | 0.01 | 13% | 11 Nov → | |
| nuke | 9–13 | -0.02 | 16% | 11 Nov → | |
| train | 13–6 | -0.00 | 14% | 9 Nov → | |
| mirage | 13–3 | 0.02 | 9% | 9 Nov → | |
| inferno | 13–3 | 0.03 | 13% | 9 Nov → | |
| nuke | 6–13 | -0.01 | 12% | 8 Nov → | |
| nuke | 13–7 | 0.07 | 16% | 8 Nov → | |
| nuke | 5–13 | -0.05 | 9% | 28 Oct → | |
| inferno | 15–15 | -0.01 | 12% | 27 Oct → | |
| overpass | 13–9 | 0.02 | 13% | 26 Oct → | |
| nuke | 13–2 | 0.10 | 18% | 26 Oct → | |
| inferno | 11–13 | -0.02 | 16% | 26 Oct → | |
| inferno | 14–16 | -0.02 | 18% | 25 Oct → | |
| ancient | 16–12 | -0.03 | 18% | 24 Oct → | |
| inferno | 13–7 | 0.00 | 2% | 20 Oct → |
Match data via Leetify.