Make — CS2 Stats
76561198079490718[U:1:119224990]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp 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 78% 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. 757ms 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 4.1/10 (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 |
|---|---|---|---|---|---|
 dust2 | A | 22 | 13–9 | 59% | -0.01 |
 inferno | D | 21 | 7–14 | 33% | -0.01 |
 ancient | C | 15 | 6–9 | 40% | -0.01 |
 nuke | B | 11 | 5–6 | 45% | -0.02 |
 mirage | D | 10 | 3–7 | 30% | -0.05 |
 overpass | D | 6 | 1–5 | 17% | -0.03 |
 train | C | 5 | 2–3 | 40% | -0.03 |
 cache | — | 4 | 2–2 | 50% | -0.04 |
 anubis | — | 3 | 0–3 | 0% | -0.01 |
| boulder | — | 1 | 0–1 | 0% | 0.01 |
| italy | — | 1 | 0–1 | 0% | 0.07 |
 vertigo | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass 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.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 757.0444ms — above the 700ms 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 0.2187 — 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 30.9207% — 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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 13–16 | 0.07 | 15% | 27 Aug → | |
| dust2 | 13–9 | -0.01 | 21% | 26 Aug → | |
| nuke | 13–10 | -0.02 | 19% | 25 Aug → | |
| inferno | 5–13 | 0.01 | 16% | 25 Aug → | |
| dust2 | 16–12 | 0.00 | 33% | 23 Aug → | |
| inferno | 7–13 | -0.02 | 28% | 23 Aug → | |
| ancient | 13–6 | -0.01 | 21% | 23 Aug → | |
| ancient | 8–13 | -0.01 | 15% | 21 Aug → | |
| ancient | 9–13 | -0.05 | 9% | 19 Aug → | |
| mirage | 14–16 | -0.07 | 28% | 12 Aug → | |
| dust2 | 13–3 | 0.04 | 20% | 9 Aug → | |
| mirage | 13–7 | -0.06 | 22% | 28 Jul → | |
| dust2 | 11–13 | 0.00 | 28% | 27 Jul → | |
| nuke | 1–13 | -0.11 | 23% | 24 Jul → | |
| nuke | 3–13 | -0.02 | 21% | 22 Jul → | |
| nuke | 3–13 | -0.02 | 27% | 22 Jul → | |
| boulder | 10–13 | 0.01 | 13% | 21 Jul → | |
| nuke | 13–6 | -0.04 | 27% | 21 Jul → | |
| dust2 | 4–13 | -0.06 | 18% | 21 Jul → | |
| ancient | 6–13 | -0.04 | 19% | 20 Jul → | |
| mirage | 13–4 | 0.06 | 22% | 16 Jul → | |
| nuke | 10–13 | -0.06 | 20% | 14 Jul → | |
| cache | 11–13 | -0.07 | 44% | 13 Jul → | |
| mirage | 10–13 | -0.06 | 15% | 11 Jul → | |
| cache | 13–8 | 0.00 | 11% | 10 Jul → | |
| dust2 | 5–13 | -0.01 | 19% | 10 Jul → | |
| cache | 13–8 | 0.02 | 18% | 9 Jul → | |
| italy | 10–13 | 0.07 | 14% | 7 Jul → | |
| nuke | 7–13 | -0.05 | 26% | 6 Jul → | |
| overpass | 8–13 | -0.09 | 10% | 5 Jul → | |
| inferno | 2–13 | -0.05 | 17% | 5 Jul → | |
| mirage | 7–13 | -0.08 | 14% | 30 Jun → | |
| ancient | 2–13 | -0.07 | 12% | 30 Jun → | |
| dust2 | 13–10 | -0.07 | 30% | 29 Jun → | |
| nuke | 13–3 | 0.05 | 25% | 29 Jun → | |
| dust2 | 16–14 | -0.01 | 15% | 27 Jun → | |
| cache | 6–13 | -0.09 | 21% | 26 Jun → | |
| mirage | 13–8 | -0.01 | 20% | 24 Jun → | |
| inferno | 12–10 | -0.05 | 27% | 21 Oct → | |
| dust2 | 13–4 | -0.04 | 9% | 3 Oct → | |
| dust2 | 13–7 | 0.04 | 20% | 2 Oct → | |
| overpass | 13–6 | -0.02 | 14% | 28 Sept → | |
| inferno | 1–13 | 0.00 | 12% | 27 Sept → | |
| dust2 | 13–11 | -0.01 | 13% | 26 Sept → | |
| inferno | 13–4 | 0.00 | 17% | 26 Sept → | |
| dust2 | 13–5 | 0.07 | 42% | 23 Sept → | |
| nuke | 6–13 | 0.01 | 19% | 23 Sept → | |
| inferno | 10–13 | -0.03 | 16% | 18 Sept → | |
| dust2 | 13–2 | 0.07 | 31% | 18 Sept → | |
| train | 8–13 | -0.03 | 15% | 17 Sept → | |
| ancient | 16–13 | 0.04 | 8% | 15 Sept → | |
| ancient | 15–15 | -0.01 | 15% | 14 Sept → | |
| nuke | 13–4 | 0.10 | 16% | 14 Sept → | |
| ancient | 13–4 | 0.04 | 11% | 14 Sept → | |
| overpass | 8–13 | -0.02 | 12% | 13 Sept → | |
| inferno | 5–13 | 0.03 | 4% | 13 Sept → | |
| inferno | 5–13 | 0.08 | 27% | 12 Sept → | |
| dust2 | 13–6 | -0.01 | 13% | 12 Sept → | |
| ancient | 13–6 | 0.05 | 15% | 12 Sept → | |
| inferno | 10–7 | -0.02 | 20% | 12 Sept → | |
| dust2 | 12–12 | -0.08 | 26% | 12 Sept → | |
| inferno | 12–12 | 0.06 | 15% | 11 Sept → | |
| inferno | 9–13 | -0.05 | 25% | 11 Sept → | |
| dust2 | 3–13 | -0.05 | 28% | 11 Sept → | |
| dust2 | 9–13 | 0.00 | 14% | 11 Sept → | |
| mirage | 6–13 | -0.04 | 5% | 10 Sept → | |
| train | 12–12 | -0.03 | 25% | 9 Sept → | |
| inferno | 1–4 | -0.04 | 20% | 9 Sept → | |
| overpass | 11–13 | 0.00 | 17% | 8 Sept → | |
| train | 13–7 | 0.01 | 10% | 8 Sept → | |
| ancient | 10–13 | 0.01 | 21% | 8 Sept → | |
| train | 13–5 | -0.06 | 19% | 7 Sept → | |
| inferno | 6–13 | -0.05 | 13% | 7 Sept → | |
| mirage | 0–11 | -0.05 | 25% | 7 Sept → | |
| dust2 | 5–13 | 0.00 | 27% | 6 Sept → | |
| ancient | 13–9 | 0.07 | 18% | 6 Sept → | |
| anubis | 2–13 | -0.04 | 19% | 6 Sept → | |
| inferno | 13–9 | -0.05 | 12% | 6 Sept → | |
| inferno | 13–11 | -0.05 | 17% | 6 Sept → | |
| dust2 | 13–16 | -0.01 | 32% | 3 Sept → | |
| overpass | 9–13 | 0.05 | 17% | 3 Sept → | |
| inferno | 12–12 | 0.02 | 20% | 2 Sept → | |
| inferno | 0–6 | 0.01 | 18% | 2 Sept → | |
| ancient | 3–13 | -0.07 | 13% | 1 Sept → | |
| vertigo | 0–13 | -0.06 | 26% | 1 Sept → | |
| dust2 | 13–4 | 0.01 | 10% | 29 Aug → | |
| nuke | 13–11 | -0.01 | 19% | 29 Aug → | |
| dust2 | 13–2 | 0.03 | 24% | 24 Aug → | |
| anubis | 11–13 | -0.06 | 12% | 24 Aug → | |
| ancient | 9–13 | -0.04 | 16% | 24 Aug → | |
| dust2 | 12–16 | -0.05 | 11% | 23 Aug → | |
| mirage | 3–13 | -0.10 | 5% | 20 Aug → | |
| overpass | 8–13 | -0.08 | 3% | 20 Aug → | |
| inferno | 13–9 | -0.03 | 8% | 19 Aug → | |
| ancient | 13–6 | -0.02 | 12% | 18 Aug → | |
| inferno | 13–4 | 0.05 | 19% | 18 Aug → | |
| mirage | 0–6 | -0.08 | 18% | 18 Aug → | |
| train | 6–13 | -0.06 | 30% | 18 Aug → | |
| ancient | 10–13 | -0.03 | 10% | 17 Aug → | |
| inferno | 8–13 | -0.05 | 22% | 17 Aug → |
Match data via Leetify.