HARTONBAD — CS2 Stats
76561198296517797[U:1:336252069]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerHigh utility contribution
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 Twistzz 92% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; higher opening-duel success.
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
Strengths
Utility. Utility score of 78 — grenade impact well above the norm.
Areas to improve
T-side openings. Opening success drops from 54% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 601ms 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 6.5/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 27 | 17–10 | 63% | 0.04 | |
| B | 27 | 14–13 | 52% | 0.04 | |
| A | 16 | 9–7 | 56% | 0.01 | |
| S | 10 | 7–3 | 70% | 0.05 | |
| D | 8 | 2–6 | 25% | 0.06 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.05 | |
| fachwerk | — | 2 | 2–0 | 100% | 0.07 |
| — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (25% over 8). 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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 73 | 44% | 1.17 | 15.0 |
| Dust2 | 42 | 50% | 1.16 | 15.4 |
| Inferno | 40 | 58% | 1.17 | 15.1 |
| Anubis | 34 | 56% | 1.27 | 15.2 |
| Ancient | 19 | 58% | 1.13 | 14.9 |
| Nuke | 15 | 33% | 1.07 | 16.8 |
| Overpass | 6 | 33% | 1.24 | 20.7 |
| Train | 5 | 80% | 0.94 | 11.6 |
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 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 38.1262% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.06 | 15% | 22 Aug → | ||
| 11–13 | 0.00 | 34% | 14 Aug → | ||
| 13–7 | 0.02 | 10% | 14 Aug → | ||
| 12–12 | -0.02 | 15% | 29 Jul → | ||
| 11–13 | 0.07 | 17% | 29 Jul → | ||
| 13–7 | 0.07 | 30% | 23 Jul → | ||
| 13–1 | 0.17 | 28% | 23 Jul → | ||
| 13–11 | 0.04 | 30% | 22 Jul → | ||
| fachwerk | 13–7 | 0.07 | 16% | 22 Jul → | |
| fachwerk | 13–11 | 0.07 | 18% | 21 Jul → | |
| 13–7 | 0.02 | 15% | 15 Jul → | ||
| 9–13 | 0.05 | 16% | 13 Jul → | ||
| 13–11 | -0.01 | 14% | 10 Jul → | ||
| 7–13 | 0.14 | 19% | 7 Jul → | ||
| 15–15 | 0.07 | 16% | 3 Jul → | ||
| 13–10 | -0.01 | 21% | 29 Jun → | ||
| 13–3 | 0.03 | 28% | 29 Jun → | ||
| 13–10 | 0.11 | 25% | 27 Jun → | ||
| 13–6 | 0.05 | 31% | 26 Jun → | ||
| 13–3 | 0.10 | 38% | 26 Jun → | ||
| 13–4 | 0.04 | 13% | 26 Jun → | ||
| 13–3 | 0.07 | 25% | 25 Jun → | ||
| 13–9 | 0.13 | 25% | 25 Jun → | ||
| 7–13 | 0.03 | 23% | 23 Jun → | ||
| 9–13 | 0.01 | 17% | 23 Jun → | ||
| 13–3 | 0.08 | 15% | 18 Jun → | ||
| 13–4 | 0.00 | 14% | 18 Jun → | ||
| 13–5 | 0.09 | 22% | 16 Jun → | ||
| 16–14 | -0.06 | 18% | 15 Jun → | ||
| 3–13 | -0.02 | 10% | 14 Jun → | ||
| 4–13 | -0.04 | 13% | 11 Jun → | ||
| 8–13 | 0.04 | 20% | 11 Jun → | ||
| 1–9 | -0.26 | 0% | 10 Jun → | ||
| 13–8 | 0.04 | 22% | 10 Jun → | ||
| 5–13 | -0.07 | 10% | 10 Jun → | ||
| 13–2 | 0.13 | 33% | 9 Jun → | ||
| 3–13 | -0.02 | 25% | 9 Jun → | ||
| 13–11 | 0.04 | 26% | 9 Jun → | ||
| 13–5 | 0.03 | 26% | 8 Jun → | ||
| 7–13 | 0.04 | 25% | 6 Jun → | ||
| 13–0 | 0.06 | 12% | 6 Jun → | ||
| 6–13 | -0.05 | 19% | 5 Jun → | ||
| 2–13 | -0.05 | 0% | 3 Jun → | ||
| 2–9 | -0.03 | 36% | 3 Jun → | ||
| 13–4 | 0.12 | 19% | 3 Jun → | ||
| 8–13 | 0.04 | 26% | 2 Jun → | ||
| 8–13 | 0.12 | 30% | 2 Jun → | ||
| 7–13 | 0.05 | 31% | 2 Jun → | ||
| 13–9 | 0.01 | 24% | 31 May → | ||
| 13–7 | 0.07 | 27% | 30 May → | ||
| 7–13 | 0.05 | 18% | 30 May → | ||
| 6–13 | 0.05 | 30% | 29 May → | ||
| 13–5 | 0.02 | 11% | 27 May → | ||
| 13–6 | 0.03 | 18% | 26 May → | ||
| 13–1 | 0.10 | 38% | 26 May → | ||
| 13–10 | 0.01 | 31% | 23 May → | ||
| 2–13 | -0.03 | 39% | 23 May → | ||
| 8–13 | 0.02 | 30% | 23 May → | ||
| 6–13 | 0.02 | 31% | 21 May → | ||
| 8–13 | 0.03 | 22% | 21 May → | ||
| 13–10 | 0.05 | 22% | 21 May → | ||
| 13–3 | 0.01 | 17% | 20 May → | ||
| 11–13 | 0.08 | 28% | 20 May → | ||
| 11–13 | 0.00 | 25% | 20 May → | ||
| 13–6 | 0.02 | 35% | 19 May → | ||
| 4–13 | -0.03 | 21% | 19 May → | ||
| 13–6 | 0.16 | 26% | 19 May → | ||
| 13–2 | 0.08 | 26% | 18 May → | ||
| 13–4 | 0.08 | 24% | 18 May → | ||
| 13–6 | -0.02 | 23% | 18 May → | ||
| 13–5 | 0.05 | 26% | 17 May → | ||
| 8–13 | 0.14 | 29% | 17 May → | ||
| 13–7 | 0.06 | 25% | 17 May → | ||
| 13–11 | 0.15 | 24% | 15 May → | ||
| 13–11 | 0.14 | 20% | 14 May → | ||
| 13–16 | -0.02 | 27% | 13 May → | ||
| 7–13 | -0.02 | 16% | 12 May → | ||
| 13–11 | 0.06 | 23% | 12 May → | ||
| 13–8 | 0.04 | 35% | 7 May → | ||
| 10–13 | 0.00 | 24% | 7 May → | ||
| 10–13 | 0.03 | 21% | 7 May → | ||
| 13–9 | 0.03 | 24% | 6 May → | ||
| 13–6 | -0.02 | 21% | 5 May → | ||
| 13–7 | 0.06 | 33% | 5 May → | ||
| 13–4 | 0.01 | 38% | 4 May → | ||
| 1–12 | -0.04 | 18% | 4 May → | ||
| 12–16 | 0.07 | 23% | 2 May → | ||
| 14–16 | 0.02 | 19% | 1 May → | ||
| 3–13 | -0.01 | 21% | 1 May → | ||
| 13–9 | 0.07 | 21% | 1 May → | ||
| 15–15 | 0.11 | 40% | 30 Apr → | ||
| 13–8 | 0.08 | 29% | 30 Apr → | ||
| 10–13 | 0.01 | 19% | 28 Apr → | ||
| 6–13 | 0.09 | 19% | 28 Apr → | ||
| 13–11 | 0.08 | 33% | 27 Apr → | ||
| 13–10 | -0.02 | 37% | 26 Apr → | ||
| 2–13 | -0.05 | 3% | 24 Apr → | ||
| 9–13 | 0.06 | 21% | 23 Apr → | ||
| 13–5 | 0.13 | 36% | 23 Apr → | ||
| 6–13 | 0.05 | 16% | 21 Apr → |
Match data via Leetify.