花式台灯 — CS2 Stats
76561198109542116[U:1:149276388]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 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 68% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; 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. 609ms 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 3.4/10 (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 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 |
|---|---|---|---|---|---|
 nuke | D | 17 | 4–13 | 24% | -0.04 |
 mirage | D | 16 | 3–13 | 19% | -0.04 |
| office | S | 15 | 10–5 | 67% | -0.02 |
 inferno | D | 14 | 1–13 | 7% | -0.04 |
 dust2 | D | 12 | 3–9 | 25% | -0.04 |
| agency | D | 7 | 2–5 | 29% | -0.03 |
 cache | D | 5 | 1–4 | 20% | -0.07 |
 vertigo | A | 5 | 3–2 | 60% | -0.07 |
 ancient | — | 4 | 0–4 | 0% | -0.05 |
 anubis | — | 3 | 2–1 | 67% | -0.00 |
 train | — | 1 | 0–1 | 0% | -0.06 |
 overpass | — | 1 | 0–1 | 0% | -0.12 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (7% over 14). 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.
- 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 0.0843 — 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 21.0893% — 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.
7% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 4–13 | -0.08 | 14% | 28 Jun → | |
| anubis | 13–3 | 0.02 | 9% | 21 Jun → | |
| dust2 | 13–9 | -0.02 | 25% | 21 Jun → | |
| dust2 | 8–13 | -0.07 | 14% | 20 Jun → | |
| inferno | 2–13 | -0.13 | 13% | 20 Jun → | |
| inferno | 10–13 | -0.09 | 19% | 20 Jun → | |
| nuke | 3–13 | -0.08 | 23% | 20 Jun → | |
| inferno | 8–13 | -0.06 | 11% | 20 Jun → | |
| cache | 2–13 | -0.16 | 25% | 20 Jun → | |
| ancient | 5–13 | -0.07 | 24% | 20 Jun → | |
| mirage | 10–13 | -0.07 | 31% | 20 Jun → | |
| mirage | 4–13 | -0.06 | 8% | 20 Jun → | |
| vertigo | 5–13 | -0.07 | 13% | 13 Jun → | |
| vertigo | 13–3 | -0.02 | 16% | 13 Jun → | |
| mirage | 5–13 | -0.02 | 29% | 13 Jun → | |
| office | 12–12 | -0.04 | 15% | 6 Jun → | |
| nuke | 13–5 | -0.07 | 18% | 6 Jun → | |
| dust2 | 6–13 | -0.06 | 3% | 4 Jun → | |
| vertigo | 6–13 | -0.16 | 5% | 4 Jun → | |
| mirage | 13–6 | -0.03 | 7% | 4 Jun → | |
| cache | 7–13 | -0.03 | 18% | 30 May → | |
| dust2 | 4–13 | 0.03 | 50% | 30 May → | |
| mirage | 7–13 | -0.06 | 39% | 30 May → | |
| inferno | 3–13 | -0.04 | 14% | 30 May → | |
| dust2 | 4–13 | -0.13 | 12% | 14 Oct → | |
| vertigo | 13–6 | -0.04 | 5% | 14 Oct → | |
| nuke | 11–13 | -0.07 | 15% | 14 Oct → | |
| ancient | 11–13 | -0.04 | 12% | 14 Oct → | |
| nuke | 7–13 | -0.09 | 14% | 14 Oct → | |
| ancient | 7–13 | -0.04 | 11% | 14 Oct → | |
| nuke | 12–12 | -0.02 | 0% | 11 Oct → | |
| dust2 | 9–13 | -0.07 | 10% | 8 Dec → | |
| dust2 | 13–6 | 0.01 | 19% | 30 Nov → | |
| vertigo | 13–7 | -0.06 | 19% | 30 Nov → | |
| train | 11–13 | -0.06 | 14% | 30 Nov → | |
| mirage | 13–6 | -0.05 | 16% | 21 Nov → | |
| dust2 | 8–13 | -0.03 | 8% | 18 Nov → | |
| mirage | 4–13 | -0.02 | 12% | 18 Nov → | |
| nuke | 11–13 | -0.03 | 12% | 18 Nov → | |
| nuke | 6–9 | -0.05 | 10% | 30 Jun → | |
| mirage | 7–9 | -0.11 | 7% | 10 Apr → | |
| office | 16–12 | 0.07 | 18% | 7 Apr → | |
| nuke | 16–11 | 0.01 | 11% | 7 Apr → | |
| nuke | 15–15 | -0.01 | 10% | 6 Apr → | |
| inferno | 15–15 | 0.11 | 19% | 6 Apr → | |
| mirage | 5–9 | 0.03 | 18% | 6 Apr → | |
| nuke | 0–9 | -0.07 | 29% | 6 Apr → | |
| nuke | 9–6 | 0.09 | 9% | 6 Apr → | |
| overpass | 8–8 | -0.12 | 10% | 6 Apr → | |
| nuke | 6–9 | -0.01 | 12% | 2 Apr → | |
| nuke | 9–2 | -0.07 | 6% | 2 Apr → | |
| mirage | 3–9 | -0.02 | 0% | 1 Apr → | |
| mirage | 8–8 | 0.06 | 15% | 1 Apr → | |
| mirage | 7–9 | -0.03 | 10% | 31 Mar → | |
| nuke | 7–16 | 0.02 | 10% | 28 Mar → | |
| ancient | 11–16 | -0.06 | 13% | 19 Mar → | |
| office | 9–16 | -0.00 | 19% | 19 Mar → | |
| anubis | 2–16 | -0.05 | 14% | 18 Mar → | |
| inferno | 11–16 | 0.01 | 11% | 18 Mar → | |
| anubis | 16–14 | 0.02 | 7% | 18 Mar → | |
| inferno | 12–16 | -0.08 | 9% | 18 Mar → | |
| mirage | 9–16 | -0.01 | 7% | 17 Mar → | |
| dust2 | 4–9 | -0.02 | 11% | 17 Mar → | |
| inferno | 16–13 | 0.04 | 19% | 17 Mar → | |
| dust2 | 1–16 | -0.11 | 11% | 17 Mar → | |
| nuke | 14–16 | -0.02 | 13% | 17 Mar → | |
| inferno | 7–16 | -0.06 | 4% | 17 Mar → | |
| mirage | 5–16 | -0.11 | 14% | 17 Mar → | |
| office | 16–8 | -0.08 | 18% | 16 Mar → | |
| inferno | 7–16 | -0.03 | 11% | 16 Mar → | |
| office | 1–16 | -0.01 | 12% | 16 Mar → | |
| mirage | 10–16 | -0.08 | 18% | 15 Mar → | |
| agency | 11–16 | -0.02 | 7% | 14 Mar → | |
| office | 16–9 | -0.02 | 6% | 14 Mar → | |
| dust2 | 16–12 | 0.02 | 18% | 14 Mar → | |
| agency | 16–13 | -0.01 | 12% | 12 Mar → | |
| agency | 16–3 | 0.04 | 13% | 12 Mar → | |
| office | 16–6 | -0.01 | 0% | 10 Mar → | |
| agency | 5–16 | -0.08 | 10% | 10 Mar → | |
| office | 16–11 | -0.02 | 9% | 10 Mar → | |
| agency | 11–16 | -0.10 | 10% | 10 Mar → | |
| office | 16–7 | -0.00 | 16% | 10 Mar → | |
| office | 7–16 | -0.08 | 2% | 7 Mar → | |
| office | 16–12 | -0.04 | 10% | 7 Mar → | |
| nuke | 4–9 | -0.03 | 9% | 5 Mar → | |
| cache | 3–9 | -0.08 | 13% | 5 Mar → | |
| inferno | 4–16 | -0.06 | 18% | 4 Mar → | |
| office | 16–8 | -0.09 | 11% | 4 Mar → | |
| cache | 16–11 | -0.07 | 17% | 4 Mar → | |
| cache | 15–15 | -0.03 | 12% | 4 Mar → | |
| agency | 6–9 | -0.07 | 11% | 4 Mar → | |
| agency | 7–9 | 0.02 | 20% | 3 Mar → | |
| office | 9–16 | 0.07 | 12% | 3 Mar → | |
| office | 16–14 | -0.07 | 10% | 3 Mar → | |
| office | 16–8 | 0.04 | 0% | 3 Mar → | |
| inferno | 5–16 | 0.00 | 11% | 3 Mar → | |
| nuke | 3–9 | -0.10 | 4% | 24 Feb → | |
| mirage | 9–6 | 0.01 | 8% | 24 Feb → | |
| dust2 | 4–9 | -0.05 | 19% | 24 Feb → | |
| inferno | 7–9 | -0.07 | 3% | 24 Feb → |
Match data via Leetify.