Real Donald J. Trump — CS2 Stats
76561199025346259[U:1:1065080531]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp 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 61% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Reaction time. 679ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 53% 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 2.0/10 (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 | 24 | 8–16 | 33% | -0.05 |
 dust2 | B | 12 | 6–6 | 50% | -0.05 |
 vertigo | B | 11 | 5–6 | 45% | -0.04 |
| office | S | 10 | 7–3 | 70% | -0.05 |
 train | C | 10 | 4–6 | 40% | -0.04 |
 ancient | C | 10 | 4–6 | 40% | -0.05 |
 mirage | C | 10 | 4–6 | 40% | -0.04 |
 inferno | C | 5 | 2–3 | 40% | -0.08 |
 overpass | C | 5 | 2–3 | 40% | -0.05 |
 cache | — | 2 | 1–1 | 50% | -0.05 |
 anubis | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Nuke 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 13.3919° — 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 11.5409% — 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 0.4079 — 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.
33% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 11–13 | -0.07 | 7% | 1 Aug → | |
| office | 13–6 | -0.04 | 8% | 1 Aug → | |
| vertigo | 13–7 | -0.05 | 13% | 5 Jun → | |
| office | 6–13 | -0.07 | 19% | 5 Jun → | |
| cache | 7–13 | -0.08 | 3% | 30 May → | |
| office | 13–7 | -0.04 | 11% | 30 May → | |
| office | 13–7 | -0.06 | 14% | 17 May → | |
| vertigo | 5–13 | -0.10 | 10% | 17 May → | |
| vertigo | 9–13 | -0.01 | 17% | 17 May → | |
| office | 13–9 | -0.09 | 5% | 15 May → | |
| office | 13–10 | -0.02 | 26% | 15 May → | |
| inferno | 6–13 | -0.05 | 6% | 13 May → | |
| nuke | 13–7 | 0.02 | 14% | 13 May → | |
| nuke | 2–13 | -0.04 | 21% | 30 Apr → | |
| cache | 13–11 | -0.02 | 11% | 29 Apr → | |
| train | 7–13 | -0.05 | 8% | 25 Apr → | |
| dust2 | 11–13 | -0.10 | 14% | 25 Apr → | |
| vertigo | 13–11 | -0.02 | 10% | 23 Apr → | |
| overpass | 13–9 | -0.07 | 11% | 14 Apr → | |
| inferno | 4–13 | -0.08 | 21% | 14 Apr → | |
| nuke | 9–13 | -0.12 | 11% | 14 Apr → | |
| nuke | 9–13 | -0.06 | 12% | 8 Apr → | |
| vertigo | 13–6 | -0.05 | 8% | 8 Apr → | |
| ancient | 10–13 | -0.06 | 12% | 3 Apr → | |
| nuke | 13–6 | -0.11 | 12% | 30 Mar → | |
| anubis | 12–12 | -0.01 | 15% | 30 Mar → | |
| nuke | 10–13 | -0.06 | 7% | 27 Mar → | |
| inferno | 13–10 | -0.16 | 5% | 27 Mar → | |
| nuke | 13–8 | -0.10 | 12% | 25 Mar → | |
| overpass | 13–10 | -0.09 | 8% | 25 Mar → | |
| ancient | 4–13 | -0.09 | 4% | 24 Mar → | |
| overpass | 5–13 | -0.02 | 18% | 13 Mar → | |
| train | 12–12 | -0.07 | 18% | 5 Mar → | |
| train | 13–11 | -0.02 | 13% | 21 Feb → | |
| ancient | 11–13 | -0.02 | 7% | 21 Feb → | |
| vertigo | 2–8 | -0.03 | 9% | 18 Feb → | |
| mirage | 8–13 | -0.10 | 7% | 18 Feb → | |
| vertigo | 11–13 | -0.06 | 5% | 3 Feb → | |
| vertigo | 13–5 | -0.02 | 8% | 27 Jan → | |
| vertigo | 6–9 | -0.09 | 7% | 26 Jan → | |
| inferno | 2–13 | -0.05 | 9% | 24 Jan → | |
| nuke | 12–12 | -0.08 | 13% | 14 Jan → | |
| office | 7–13 | -0.12 | 3% | 14 Jan → | |
| ancient | 2–13 | -0.05 | 13% | 14 Jan → | |
| dust2 | 4–13 | -0.09 | 13% | 12 Jan → | |
| ancient | 13–10 | -0.07 | 11% | 7 Jan → | |
| train | 13–0 | 0.02 | 11% | 7 Jan → | |
| train | 13–8 | -0.03 | 8% | 5 Jan → | |
| ancient | 13–4 | 0.02 | 18% | 5 Jan → | |
| nuke | 12–12 | -0.01 | 7% | 5 Jan → | |
| mirage | 6–13 | -0.07 | 10% | 3 Jan → | |
| dust2 | 10–13 | -0.04 | 11% | 3 Jan → | |
| inferno | 13–9 | -0.04 | 13% | 25 Dec → | |
| nuke | 12–12 | -0.03 | 6% | 25 Dec → | |
| mirage | 13–4 | 0.01 | 21% | 11 Dec → | |
| nuke | 13–8 | 0.02 | 11% | 29 Nov → | |
| nuke | 5–13 | -0.04 | 15% | 26 Nov → | |
| nuke | 7–13 | -0.07 | 12% | 22 Nov → | |
| nuke | 0–2 | -0.03 | 0% | 22 Nov → | |
| office | 6–13 | -0.10 | 26% | 20 Nov → | |
| nuke | 6–13 | -0.04 | 13% | 15 Nov → | |
| train | 8–13 | -0.04 | 13% | 10 Nov → | |
| dust2 | 5–13 | -0.10 | 18% | 7 Nov → | |
| mirage | 13–6 | -0.02 | 14% | 7 Nov → | |
| train | 11–13 | -0.08 | 12% | 6 Nov → | |
| ancient | 13–7 | -0.05 | 14% | 6 Nov → | |
| dust2 | 13–4 | 0.01 | 23% | 5 Nov → | |
| nuke | 13–11 | -0.08 | 6% | 30 Oct → | |
| mirage | 13–5 | 0.06 | 13% | 29 Oct → | |
| nuke | 6–13 | -0.07 | 6% | 29 Oct → | |
| mirage | 6–13 | -0.08 | 5% | 28 Oct → | |
| nuke | 7–13 | -0.07 | 10% | 28 Oct → | |
| dust2 | 5–13 | -0.05 | 35% | 28 Oct → | |
| overpass | 15–15 | -0.00 | 10% | 26 Oct → | |
| ancient | 8–13 | -0.03 | 7% | 24 Oct → | |
| nuke | 13–16 | -0.03 | 16% | 23 Oct → | |
| nuke | 13–4 | -0.01 | 11% | 23 Oct → | |
| mirage | 1–8 | -0.03 | 19% | 22 Oct → | |
| dust2 | 13–10 | -0.01 | 14% | 22 Oct → | |
| dust2 | 13–6 | -0.01 | 13% | 21 Oct → | |
| mirage | 11–13 | -0.06 | 15% | 21 Oct → | |
| office | 13–5 | 0.01 | 3% | 21 Oct → | |
| vertigo | 11–13 | -0.03 | 9% | 20 Oct → | |
| nuke | 13–9 | -0.05 | 5% | 20 Oct → | |
| train | 1–13 | -0.08 | 13% | 19 Oct → | |
| dust2 | 5–13 | -0.11 | 7% | 17 Oct → | |
| vertigo | 13–1 | -0.03 | 10% | 17 Oct → | |
| train | 11–13 | -0.03 | 8% | 17 Oct → | |
| mirage | 9–13 | -0.10 | 11% | 16 Oct → | |
| office | 13–8 | 0.01 | 11% | 15 Oct → | |
| train | 13–4 | -0.00 | 7% | 15 Oct → | |
| mirage | 5–3 | -0.02 | 0% | 15 Oct → | |
| nuke | 13–7 | -0.00 | 19% | 15 Oct → | |
| ancient | 13–7 | -0.07 | 9% | 15 Oct → | |
| nuke | 10–13 | -0.04 | 12% | 15 Oct → | |
| overpass | 7–13 | -0.07 | 10% | 14 Oct → | |
| dust2 | 13–2 | -0.08 | 14% | 14 Oct → | |
| dust2 | 13–11 | -0.04 | 21% | 14 Oct → | |
| dust2 | 13–9 | -0.02 | 13% | 13 Oct → | |
| ancient | 1–8 | -0.04 | 0% | 13 Oct → |
Match data via Leetify.