trying their best — CS2 Stats
76561198073691114[U:1:113425386]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.03 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-duel success, positioning profile.
Where you differ: lower opening-fight frequency; 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 34% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 672ms 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 3.2/10 (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 |
|---|---|---|---|---|---|
 inferno | B | 23 | 11–12 | 48% | -0.02 |
 vertigo | B | 18 | 9–9 | 50% | -0.05 |
 overpass | A | 18 | 11–7 | 61% | -0.00 |
 nuke | C | 16 | 6–10 | 38% | -0.03 |
 train | — | 4 | 2–2 | 50% | -0.02 |
 ancient | — | 4 | 1–3 | 25% | -0.03 |
 anubis | — | 3 | 1–2 | 33% | -0.08 |
 mirage | — | 3 | 1–2 | 33% | -0.04 |
 dust2 | — | 2 | 1–1 | 50% | -0.03 |
| assembly | — | 2 | 0–2 | 0% | -0.11 |
| fachwerk | — | 1 | 1–0 | 100% | -0.04 |
| dogtown | — | 1 | 1–0 | 100% | 0.01 |
| brewery | — | 1 | 1–0 | 100% | 0.08 |
| grail | — | 1 | 0–1 | 0% | -0.02 |
| office | — | 1 | 0–1 | 0% | -0.11 |
| mills | — | 1 | 0–1 | 0% | -0.07 |
| memento | — | 1 | 0–1 | 0% | -0.13 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Nuke 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 9.6284% — 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 0.4742 — 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 14.8589% — 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.
38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 9–13 | -0.03 | 12% | 16 Aug → | |
| train | 13–8 | -0.00 | 9% | 16 Aug → | |
| vertigo | 13–11 | -0.06 | 0% | 16 Aug → | |
| vertigo | 12–12 | -0.10 | 11% | 10 Aug → | |
| fachwerk | 13–1 | -0.04 | 1% | 10 Aug → | |
| nuke | 13–8 | -0.01 | 8% | 10 Aug → | |
| anubis | 10–13 | -0.08 | 3% | 29 Jul → | |
| train | 12–12 | -0.01 | 8% | 29 Jul → | |
| mirage | 10–13 | -0.05 | 14% | 1 Jan → | |
| nuke | 2–9 | -0.09 | 6% | 12 Sept → | |
| inferno | 9–3 | 0.06 | 13% | 12 Sept → | |
| overpass | 9–3 | 0.04 | 24% | 12 Sept → | |
| dogtown | 9–1 | 0.01 | 7% | 12 Sept → | |
| brewery | 9–7 | 0.08 | 5% | 12 Sept → | |
| vertigo | 9–4 | -0.07 | 27% | 12 Sept → | |
| nuke | 7–9 | -0.07 | 11% | 12 Sept → | |
| inferno | 7–9 | -0.12 | 3% | 12 Sept → | |
| inferno | 9–7 | -0.05 | 6% | 12 Sept → | |
| inferno | 9–5 | 0.01 | 0% | 12 Sept → | |
| ancient | 6–13 | -0.08 | 0% | 11 Aug → | |
| nuke | 8–13 | -0.03 | 13% | 11 Aug → | |
| inferno | 13–6 | -0.06 | 3% | 11 Aug → | |
| nuke | 5–9 | -0.15 | 0% | 9 Aug → | |
| inferno | 8–8 | 0.01 | 11% | 9 Aug → | |
| inferno | 9–4 | -0.06 | 11% | 9 Aug → | |
| inferno | 4–9 | -0.18 | 11% | 9 Aug → | |
| dust2 | 6–13 | -0.08 | 4% | 4 Aug → | |
| overpass | 13–5 | -0.06 | 15% | 31 Jul → | |
| grail | 7–13 | -0.02 | 3% | 31 Jul → | |
| train | 13–2 | -0.02 | 3% | 27 Nov → | |
| nuke | 9–13 | -0.04 | 3% | 27 Nov → | |
| train | 5–13 | -0.04 | 25% | 27 Nov → | |
| vertigo | 8–8 | -0.00 | 7% | 11 Jul → | |
| vertigo | 2–9 | -0.25 | 0% | 11 Jul → | |
| office | 6–13 | -0.11 | 0% | 11 Jul → | |
| mills | 6–13 | -0.07 | 15% | 11 Jul → | |
| assembly | 8–8 | -0.07 | 8% | 11 Jul → | |
| inferno | 9–3 | 0.19 | 13% | 11 Jul → | |
| memento | 4–9 | -0.13 | 13% | 11 Jul → | |
| overpass | 2–9 | -0.13 | 9% | 11 Jul → | |
| assembly | 3–9 | -0.15 | 15% | 11 Jul → | |
| overpass | 5–9 | 0.01 | 10% | 8 Jan → | |
| vertigo | 9–3 | 0.09 | 24% | 8 Jan → | |
| vertigo | 1–9 | -0.19 | 19% | 8 Jan → | |
| overpass | 8–8 | -0.10 | 14% | 8 Jan → | |
| nuke | 3–9 | -0.14 | 21% | 8 Jan → | |
| overpass | 5–13 | -0.03 | 12% | 14 Dec → | |
| anubis | 2–13 | -0.11 | 18% | 14 Dec → | |
| inferno | 8–13 | 0.01 | 19% | 30 Nov → | |
| ancient | 6–13 | -0.07 | 17% | 30 Nov → | |
| overpass | 9–4 | 0.10 | 11% | 30 Nov → | |
| vertigo | 6–9 | -0.09 | 21% | 30 Nov → | |
| nuke | 9–7 | -0.04 | 40% | 30 Nov → | |
| inferno | 7–9 | 0.04 | 14% | 30 Nov → | |
| overpass | 9–2 | 0.01 | 24% | 28 Nov → | |
| vertigo | 9–1 | 0.10 | 7% | 28 Nov → | |
| overpass | 8–8 | -0.07 | 11% | 28 Nov → | |
| vertigo | 9–6 | -0.10 | 18% | 28 Nov → | |
| inferno | 8–8 | -0.06 | 19% | 28 Nov → | |
| vertigo | 9–6 | -0.02 | 6% | 27 Nov → | |
| vertigo | 5–9 | -0.06 | 5% | 27 Nov → | |
| vertigo | 9–3 | -0.01 | 12% | 27 Nov → | |
| overpass | 8–8 | 0.01 | 5% | 27 Nov → | |
| overpass | 9–5 | 0.02 | 8% | 27 Nov → | |
| overpass | 9–5 | -0.04 | 7% | 27 Nov → | |
| vertigo | 9–2 | 0.03 | 25% | 27 Nov → | |
| vertigo | 6–9 | -0.03 | 21% | 27 Nov → | |
| overpass | 9–5 | 0.00 | 20% | 27 Nov → | |
| nuke | 2–9 | -0.16 | 11% | 27 Nov → | |
| inferno | 9–6 | 0.02 | 10% | 27 Nov → | |
| nuke | 9–6 | -0.02 | 6% | 27 Nov → | |
| inferno | 8–8 | -0.00 | 8% | 27 Nov → | |
| inferno | 5–13 | 0.01 | 15% | 17 Nov → | |
| inferno | 13–7 | -0.02 | 10% | 17 Nov → | |
| nuke | 11–13 | 0.02 | 11% | 17 Nov → | |
| nuke | 3–9 | -0.11 | 38% | 15 Nov → | |
| vertigo | 6–9 | -0.11 | 9% | 15 Nov → | |
| inferno | 5–9 | -0.10 | 12% | 15 Nov → | |
| inferno | 5–9 | -0.08 | 13% | 15 Nov → | |
| overpass | 9–5 | 0.07 | 10% | 13 Nov → | |
| overpass | 13–5 | -0.01 | 8% | 13 Nov → | |
| vertigo | 13–9 | -0.01 | 12% | 13 Nov → | |
| overpass | 8–8 | 0.04 | 17% | 13 Nov → | |
| nuke | 9–4 | 0.19 | 21% | 13 Nov → | |
| inferno | 13–10 | -0.07 | 15% | 12 Nov → | |
| mirage | 13–10 | -0.04 | 11% | 12 Nov → | |
| nuke | 13–4 | 0.01 | 13% | 12 Nov → | |
| overpass | 9–2 | 0.11 | 17% | 12 Nov → | |
| vertigo | 3–13 | -0.09 | 15% | 12 Nov → | |
| dust2 | 13–9 | 0.02 | 15% | 12 Nov → | |
| nuke | 9–3 | 0.13 | 11% | 28 Sept → | |
| inferno | 9–4 | 0.18 | 11% | 28 Sept → | |
| anubis | 16–13 | -0.06 | 18% | 27 Sept → | |
| ancient | 13–6 | 0.04 | 20% | 27 Sept → | |
| inferno | 2–9 | -0.18 | 33% | 27 Sept → | |
| mirage | 6–13 | -0.03 | 12% | 25 Sept → | |
| overpass | 13–5 | 0.01 | 7% | 25 Sept → | |
| ancient | 8–13 | -0.03 | 15% | 25 Sept → | |
| inferno | 13–8 | -0.08 | 0% | 24 Sept → | |
| nuke | 9–13 | -0.03 | 17% | 24 Sept → |
Match data via Leetify.
