DanielB — CS2 Stats
NO76561197960665205[U:1:399477]Steam profile ↗✓ No bans
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 76% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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. 624ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 67% 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 3.5/10 (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 |
|---|---|---|---|---|---|
| B | 25 | 13–12 | 52% | -0.04 | |
| office | B | 24 | 11–13 | 46% | -0.00 |
| B | 19 | 9–10 | 47% | -0.00 | |
| A | 11 | 7–4 | 64% | -0.03 | |
| C | 8 | 3–5 | 38% | -0.03 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| — | 3 | 1–2 | 33% | -0.06 | |
| agency | — | 2 | 0–2 | 0% | -0.04 |
| poseidon | — | 1 | 0–1 | 0% | -0.01 |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 9 | 44% | 0.83 | 11.9 |
| Mirage | 6 | 50% | 0.82 | 12.2 |
| Anubis | 3 | 67% | 1.03 | 18.3 |
| Ancient | 1 | 0% | 0.65 | 13.0 |
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.
- 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 13.6589% — below the 15% 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 25.6599% — 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 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.01 | 13% | 16 Aug → | ||
| 13–8 | 0.06 | 4% | 16 Aug → | ||
| 13–10 | 0.05 | 13% | 15 Aug → | ||
| office | 11–8 | 0.05 | 16% | 15 Aug → | |
| office | 8–3 | -0.00 | 12% | 15 Aug → | |
| office | 11–13 | -0.07 | 8% | 14 Aug → | |
| office | 6–13 | 0.04 | 21% | 14 Aug → | |
| 9–6 | -0.11 | 11% | 11 Aug → | ||
| 6–9 | -0.15 | 13% | 11 Aug → | ||
| 6–9 | -0.12 | 12% | 11 Aug → | ||
| poseidon | 6–9 | -0.01 | 20% | 11 Aug → | |
| 4–9 | -0.07 | 13% | 11 Aug → | ||
| 4–13 | -0.07 | 20% | 9 Aug → | ||
| 16–14 | 0.00 | 12% | 9 Aug → | ||
| 16–14 | 0.01 | 14% | 8 Aug → | ||
| 4–13 | -0.10 | 5% | 7 Aug → | ||
| 13–10 | -0.05 | 9% | 7 Aug → | ||
| 7–13 | -0.07 | 11% | 5 Aug → | ||
| 13–8 | -0.02 | 13% | 28 Jul → | ||
| 7–13 | -0.04 | 21% | 29 Jun → | ||
| 13–2 | -0.04 | 14% | 29 Jun → | ||
| 13–0 | 0.11 | 28% | 29 Jun → | ||
| 13–10 | -0.04 | 10% | 29 Jun → | ||
| 15–15 | -0.12 | 9% | 11 Jun → | ||
| 15–15 | -0.02 | 13% | 11 Jun → | ||
| 8–13 | -0.04 | 15% | 10 Jun → | ||
| 13–10 | -0.02 | 9% | 10 Jun → | ||
| 14–16 | -0.09 | 11% | 14 May → | ||
| 13–11 | -0.03 | 24% | 14 May → | ||
| 12–2 | 0.03 | 5% | 23 Feb → | ||
| 11–13 | -0.06 | 20% | 23 Feb → | ||
| 10–13 | -0.03 | 13% | 13 Feb → | ||
| 13–5 | -0.06 | 10% | 11 Feb → | ||
| 13–7 | 0.02 | 19% | 11 Feb → | ||
| 4–13 | -0.04 | 26% | 9 Feb → | ||
| 13–7 | 0.04 | 5% | 9 Feb → | ||
| 13–6 | -0.02 | 17% | 4 Feb → | ||
| 1–13 | -0.08 | 6% | 4 Feb → | ||
| 13–11 | -0.04 | 6% | 12 Jan → | ||
| 11–13 | -0.04 | 15% | 12 Jan → | ||
| 8–13 | -0.01 | 16% | 11 Nov → | ||
| 13–5 | 0.03 | 13% | 23 Oct → | ||
| 8–13 | -0.05 | 19% | 20 Oct → | ||
| 16–12 | 0.02 | 10% | 14 Oct → | ||
| 14–16 | -0.07 | 17% | 12 Oct → | ||
| 16–12 | -0.01 | 12% | 12 Oct → | ||
| 13–10 | 0.00 | 15% | 8 Oct → | ||
| 9–13 | -0.01 | 8% | 8 Oct → | ||
| 13–7 | -0.08 | 8% | 6 Oct → | ||
| 14–16 | 0.00 | 11% | 5 Oct → | ||
| 0–13 | -0.08 | 0% | 5 Oct → | ||
| 8–13 | -0.06 | 12% | 5 Oct → | ||
| office | 9–13 | -0.04 | 9% | 3 Oct → | |
| office | 11–13 | 0.01 | 15% | 3 Oct → | |
| office | 13–11 | 0.03 | 15% | 2 Oct → | |
| office | 13–7 | 0.02 | 13% | 1 Oct → | |
| office | 10–13 | -0.02 | 11% | 1 Oct → | |
| office | 13–7 | -0.05 | 9% | 29 Sept → | |
| office | 11–13 | -0.05 | 28% | 25 Sept → | |
| office | 13–5 | -0.03 | 17% | 25 Sept → | |
| office | 5–13 | 0.04 | 11% | 24 Sept → | |
| office | 13–8 | 0.01 | 16% | 23 Sept → | |
| office | 3–13 | -0.01 | 8% | 23 Sept → | |
| 16–14 | 0.02 | 13% | 16 Sept → | ||
| office | 13–8 | -0.01 | 13% | 16 Sept → | |
| 13–10 | -0.01 | 20% | 15 Sept → | ||
| 13–10 | 0.01 | 19% | 14 Sept → | ||
| 13–10 | -0.02 | 12% | 14 Sept → | ||
| 13–5 | 0.01 | 17% | 13 Sept → | ||
| 13–3 | 0.00 | 12% | 13 Sept → | ||
| 13–9 | -0.02 | 11% | 13 Sept → | ||
| 7–13 | -0.04 | 11% | 13 Sept → | ||
| 13–7 | -0.01 | 8% | 11 Sept → | ||
| 6–13 | 0.07 | 17% | 11 Sept → | ||
| 10–13 | -0.09 | 12% | 8 Sept → | ||
| 13–8 | -0.01 | 17% | 8 Sept → | ||
| 13–4 | 0.01 | 9% | 8 Sept → | ||
| 5–13 | -0.09 | 9% | 26 Aug → | ||
| 11–13 | -0.03 | 2% | 26 Aug → | ||
| 5–13 | -0.03 | 13% | 25 Aug → | ||
| 10–13 | 0.01 | 10% | 25 Aug → | ||
| 13–16 | -0.02 | 17% | 24 Aug → | ||
| 9–13 | -0.05 | 9% | 24 Aug → | ||
| 13–3 | 0.01 | 26% | 8 Aug → | ||
| 6–13 | 0.01 | 19% | 8 Aug → | ||
| 6–13 | -0.06 | 3% | 14 Jul → | ||
| 13–9 | -0.02 | 11% | 14 Jul → | ||
| 8–13 | -0.02 | 16% | 14 Jul → | ||
| 13–4 | 0.11 | 20% | 14 Jul → | ||
| office | 13–10 | -0.04 | 5% | 27 Jun → | |
| office | 12–12 | -0.04 | 18% | 24 Jun → | |
| office | 7–13 | 0.12 | 18% | 24 Jun → | |
| 15–15 | 0.00 | 20% | 23 Jun → | ||
| office | 13–1 | 0.01 | 11% | 21 Jun → | |
| office | 9–13 | -0.00 | 9% | 20 Jun → | |
| office | 11–13 | -0.02 | 9% | 20 Jun → | |
| office | 13–8 | -0.01 | 8% | 19 Jun → | |
| office | 2–13 | 0.02 | 13% | 19 Jun → | |
| agency | 4–13 | -0.06 | 16% | 17 Jun → | |
| agency | 3–13 | -0.03 | 9% | 17 Jun → |
Match data via Leetify.
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