DreamTime — CS2 Stats
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.04 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 69% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; 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. 637ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% 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 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| C | 19 | 7–12 | 37% | -0.03 | |
| A | 18 | 11–7 | 61% | -0.02 | |
| C | 15 | 6–9 | 40% | -0.04 | |
| C | 13 | 5–8 | 38% | -0.02 | |
| C | 10 | 4–6 | 40% | -0.03 | |
| C | 7 | 3–4 | 43% | -0.02 | |
| S | 6 | 5–1 | 83% | -0.03 | |
| C | 5 | 2–3 | 40% | -0.03 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| office | — | 1 | 0–1 | 0% | -0.02 |
| italy | — | 1 | 1–0 | 100% | 0.08 |
| palais | — | 1 | 0–1 | 0% | -0.20 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Ancient 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 6 | 67% | 0.88 | 12.2 |
| Ancient | 4 | 0% | 0.46 | 7.3 |
| Dust2 | 3 | 33% | 0.77 | 9.3 |
| Anubis | 2 | 50% | 0.58 | 9.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
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 12.8431° — 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 10.0484% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.14 | 29% | 16 Aug → | ||
| 13–10 | -0.06 | 16% | 25 Jun → | ||
| 13–10 | -0.03 | 12% | 23 May → | ||
| 9–13 | -0.05 | 10% | 10 Apr → | ||
| 13–10 | 0.01 | 6% | 20 Mar → | ||
| 13–10 | -0.05 | 8% | 18 Mar → | ||
| 13–11 | -0.08 | 5% | 18 Mar → | ||
| 15–15 | -0.02 | 15% | 10 Mar → | ||
| 9–13 | -0.01 | 7% | 10 Mar → | ||
| 13–5 | 0.00 | 4% | 10 Mar → | ||
| 13–9 | -0.02 | 3% | 9 Mar → | ||
| 13–11 | 0.08 | 17% | 9 Mar → | ||
| 10–13 | -0.06 | 13% | 9 Mar → | ||
| 11–13 | 0.00 | 9% | 9 Mar → | ||
| 13–1 | 0.05 | 14% | 9 Mar → | ||
| 13–5 | 0.04 | 15% | 9 Mar → | ||
| 13–5 | -0.01 | 6% | 1 Mar → | ||
| 4–13 | -0.06 | 11% | 1 Mar → | ||
| 13–1 | 0.01 | 15% | 27 Feb → | ||
| 13–9 | -0.04 | 3% | 22 Feb → | ||
| 16–12 | -0.05 | 9% | 15 Feb → | ||
| 10–13 | -0.01 | 9% | 8 Feb → | ||
| 4–13 | -0.10 | 9% | 18 Jan → | ||
| 5–2 | -0.03 | 5% | 2 Jan → | ||
| 6–13 | -0.07 | 9% | 26 Dec → | ||
| 11–13 | -0.01 | 13% | 26 Dec → | ||
| 13–4 | 0.01 | 17% | 24 Dec → | ||
| 11–13 | -0.11 | 7% | 21 Dec → | ||
| 7–13 | 0.01 | 1% | 21 Dec → | ||
| 13–8 | -0.01 | 6% | 7 Dec → | ||
| 10–13 | 0.04 | 11% | 7 Dec → | ||
| 13–4 | -0.03 | 7% | 10 Nov → | ||
| 12–12 | -0.01 | 12% | 10 Nov → | ||
| 5–13 | -0.02 | 3% | 6 Nov → | ||
| 13–9 | -0.01 | 18% | 31 Oct → | ||
| 13–5 | -0.01 | 6% | 31 Oct → | ||
| 7–13 | -0.05 | 12% | 29 Oct → | ||
| 13–11 | 0.00 | 14% | 26 Oct → | ||
| 5–13 | -0.04 | 20% | 24 Oct → | ||
| 12–12 | -0.05 | 11% | 2 Oct → | ||
| office | 12–12 | -0.02 | 13% | 2 Oct → | |
| 11–13 | -0.03 | 13% | 26 Sept → | ||
| 13–11 | -0.05 | 4% | 26 Sept → | ||
| italy | 10–6 | 0.08 | 12% | 26 Sept → | |
| 10–13 | -0.02 | 7% | 26 Sept → | ||
| 13–6 | -0.01 | 9% | 8 Sept → | ||
| 13–2 | -0.02 | 19% | 31 Aug → | ||
| 13–5 | -0.04 | 15% | 31 Aug → | ||
| 11–13 | -0.01 | 12% | 31 Aug → | ||
| 15–15 | -0.00 | 18% | 17 Aug → | ||
| 6–2 | -0.02 | 7% | 17 Aug → | ||
| 12–12 | -0.03 | 12% | 17 Jul → | ||
| 13–11 | 0.01 | 11% | 17 Jul → | ||
| 10–13 | -0.08 | 19% | 6 Jul → | ||
| 13–4 | -0.04 | 8% | 6 Jul → | ||
| 11–13 | -0.03 | 10% | 22 Jun → | ||
| 5–13 | -0.05 | 9% | 22 Jun → | ||
| 12–12 | -0.02 | 8% | 22 Jun → | ||
| 11–13 | -0.01 | 5% | 22 Jun → | ||
| 13–4 | 0.00 | 4% | 15 Jun → | ||
| 13–11 | -0.07 | 30% | 15 Jun → | ||
| 15–15 | 0.03 | 18% | 15 Jun → | ||
| 12–12 | 0.01 | 14% | 3 Jun → | ||
| 13–5 | 0.02 | 20% | 3 Jun → | ||
| 13–7 | 0.02 | 14% | 3 Jun → | ||
| 5–13 | -0.01 | 9% | 21 Apr → | ||
| 13–10 | -0.04 | 7% | 13 Mar → | ||
| 3–13 | -0.07 | 7% | 27 Feb → | ||
| 13–10 | -0.03 | 15% | 21 Feb → | ||
| 13–10 | -0.04 | 15% | 21 Feb → | ||
| 13–1 | -0.02 | 18% | 12 Feb → | ||
| 4–13 | -0.09 | 6% | 11 Feb → | ||
| 11–13 | 0.01 | 18% | 29 Jan → | ||
| 13–10 | 0.05 | 16% | 29 Jan → | ||
| 11–13 | -0.04 | 17% | 29 Jan → | ||
| 8–13 | -0.08 | 12% | 29 Jan → | ||
| 3–13 | -0.05 | 13% | 24 Jan → | ||
| 11–13 | -0.07 | 11% | 22 Jan → | ||
| 13–11 | -0.06 | 13% | 22 Jan → | ||
| 4–13 | -0.02 | 4% | 22 Jan → | ||
| 4–13 | -0.05 | 15% | 20 Jan → | ||
| 9–13 | -0.02 | 11% | 20 Jan → | ||
| 6–13 | -0.10 | 8% | 20 Jan → | ||
| 5–9 | -0.08 | 31% | 20 Jan → | ||
| palais | 4–9 | -0.20 | 10% | 20 Jan → | |
| 9–6 | -0.04 | 16% | 20 Jan → | ||
| 3–13 | -0.06 | 9% | 19 Jan → | ||
| 13–5 | 0.01 | 16% | 19 Jan → | ||
| 1–13 | -0.04 | 17% | 19 Jan → | ||
| 6–13 | -0.02 | 7% | 16 Jan → | ||
| 13–10 | 0.00 | 9% | 16 Jan → | ||
| 15–15 | 0.01 | 10% | 16 Jan → | ||
| 11–7 | -0.05 | 7% | 16 Jan → | ||
| 4–13 | -0.05 | 24% | 1 Jan → | ||
| 13–10 | -0.05 | 13% | 1 Jan → | ||
| 13–11 | -0.04 | 6% | 1 Jan → | ||
| 5–13 | -0.09 | 13% | 1 Jan → | ||
| 13–6 | 0.01 | 16% | 28 Dec → | ||
| 10–13 | -0.02 | 11% | 28 Dec → | ||
| 11–13 | -0.03 | 18% | 27 Dec → |
Match data via Leetify.