hard_dolar — CS2 Stats
76561199069408703[U:1:1109142975]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 43.2% | 42.5% | 44.2% | 1.0% short |
| Shot accuracy | 8.6% | 10.9% | 11.2% | 2.6% short |
| Kill/death ratio | 0.94 | 0.99 | 1.04 | 0.09 short |
| Match win rate | 45.4% | 44.2% | 45.3% | meets |
This profile matches the typical Level 5 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.01 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 Twistzz 80% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
T-side openings. Opening success drops from 49% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 668ms 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 (×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 | 8–11 | 42% | -0.02 | |
| C | 18 | 8–10 | 44% | -0.00 | |
| B | 17 | 9–8 | 53% | 0.01 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| D | 9 | 3–6 | 33% | -0.00 | |
| D | 8 | 2–6 | 25% | -0.04 | |
| A | 5 | 3–2 | 60% | 0.00 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| — | 3 | 2–1 | 67% | -0.03 | |
| boulder | — | 2 | 0–2 | 0% | -0.07 |
| office | — | 2 | 1–1 | 50% | 0.03 |
| fachwerk | — | 1 | 1–0 | 100% | 0.05 |
| stronghold | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 35 | 51% | 0.86 | 13.3 |
| Vertigo | 34 | 62% | 1.01 | 13.8 |
| Nuke | 24 | 58% | 0.84 | 13.5 |
| Dust2 | 17 | 12% | 0.68 | 12.1 |
| Anubis | 15 | 60% | 0.90 | 13.5 |
| Inferno | 14 | 36% | 0.82 | 12.4 |
| Ancient | 10 | 30% | 0.83 | 10.2 |
| Cache | 2 | 50% | 0.98 | 12.5 |
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.
- 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 0.4932 — 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 25.5849% — 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 | |
|---|---|---|---|---|---|
| 7–13 | -0.06 | 14% | 24 Aug → | ||
| 9–7 | 0.06 | 9% | 23 Aug → | ||
| 8–8 | -0.06 | 15% | 23 Aug → | ||
| 3–13 | -0.08 | 10% | 23 Aug → | ||
| 9–4 | 0.01 | 21% | 21 Aug → | ||
| 4–9 | -0.07 | 12% | 21 Aug → | ||
| 13–9 | -0.02 | 13% | 16 Aug → | ||
| 9–13 | -0.05 | 9% | 16 Aug → | ||
| 7–13 | -0.01 | 16% | 14 Aug → | ||
| 4–13 | -0.04 | 14% | 14 Aug → | ||
| 13–11 | 0.03 | 21% | 12 Aug → | ||
| 13–5 | -0.04 | 8% | 12 Aug → | ||
| 13–5 | -0.06 | 9% | 12 Aug → | ||
| 8–13 | -0.01 | 20% | 12 Aug → | ||
| 13–6 | 0.03 | 33% | 12 Aug → | ||
| 13–8 | -0.02 | 9% | 11 Aug → | ||
| 13–16 | -0.03 | 20% | 11 Aug → | ||
| boulder | 2–13 | -0.09 | 20% | 11 Aug → | |
| 13–3 | -0.01 | 18% | 5 Aug → | ||
| 13–8 | -0.02 | 17% | 3 Aug → | ||
| 13–8 | 0.05 | 17% | 2 Aug → | ||
| 9–13 | -0.06 | 13% | 2 Aug → | ||
| 11–13 | 0.01 | 19% | 2 Aug → | ||
| boulder | 12–12 | -0.06 | 19% | 23 Jul → | |
| fachwerk | 13–3 | 0.05 | 4% | 23 Jul → | |
| 7–13 | -0.06 | 30% | 16 Jul → | ||
| 13–9 | 0.06 | 19% | 16 Jul → | ||
| 10–13 | -0.03 | 26% | 15 Jul → | ||
| 10–13 | -0.01 | 15% | 15 Jul → | ||
| 15–15 | -0.01 | 21% | 15 Jul → | ||
| 13–4 | 0.01 | 19% | 13 Jul → | ||
| 8–13 | -0.12 | 17% | 12 Jul → | ||
| 5–13 | -0.04 | 19% | 12 Jul → | ||
| 13–5 | -0.08 | 31% | 12 Jul → | ||
| 13–3 | 0.02 | 13% | 12 Jul → | ||
| stronghold | 13–7 | 0.02 | 11% | 6 Jul → | |
| 2–13 | -0.06 | 30% | 6 Jul → | ||
| 9–13 | 0.04 | 20% | 3 Jul → | ||
| 13–1 | 0.05 | 12% | 3 Jul → | ||
| office | 13–11 | 0.03 | 18% | 3 Jul → | |
| 13–9 | 0.04 | 17% | 3 Jul → | ||
| 6–9 | 0.07 | 17% | 3 Jul → | ||
| 9–6 | -0.01 | 18% | 30 Jun → | ||
| 6–13 | -0.06 | 40% | 30 Jun → | ||
| 16–14 | -0.05 | 31% | 30 Jun → | ||
| 11–13 | -0.02 | 18% | 30 Jun → | ||
| 6–13 | -0.03 | 18% | 30 Jun → | ||
| 9–3 | 0.08 | 22% | 27 Jun → | ||
| 9–4 | 0.14 | 33% | 27 Jun → | ||
| 9–13 | -0.00 | 38% | 26 Jun → | ||
| 13–9 | -0.03 | 27% | 26 Jun → | ||
| 13–4 | 0.06 | 20% | 26 Jun → | ||
| 13–16 | -0.06 | 21% | 24 Jun → | ||
| 13–10 | 0.02 | 32% | 19 Jun → | ||
| 8–13 | -0.09 | 15% | 13 Jun → | ||
| 5–13 | 0.04 | 30% | 13 Jun → | ||
| 13–4 | -0.02 | 33% | 12 Jun → | ||
| 13–2 | 0.06 | 33% | 12 Jun → | ||
| 13–2 | 0.05 | 18% | 12 Jun → | ||
| 13–3 | 0.04 | 32% | 12 Jun → | ||
| office | 9–13 | 0.03 | 10% | 11 Jun → | |
| 12–12 | -0.00 | 21% | 11 Jun → | ||
| 10–13 | -0.02 | 10% | 11 Jun → | ||
| 10–13 | 0.00 | 29% | 5 Jun → | ||
| 13–6 | 0.15 | 22% | 5 Jun → | ||
| 12–12 | -0.05 | 13% | 5 Jun → | ||
| 9–5 | 0.03 | 20% | 31 May → | ||
| 7–9 | -0.09 | 21% | 31 May → | ||
| 8–8 | 0.07 | 24% | 31 May → | ||
| 8–8 | -0.07 | 25% | 29 May → | ||
| 4–13 | -0.07 | 12% | 26 May → | ||
| 13–10 | -0.05 | 8% | 26 May → | ||
| 13–10 | -0.06 | 8% | 21 May → | ||
| 8–13 | 0.01 | 36% | 21 May → | ||
| 13–1 | 0.04 | 7% | 21 May → | ||
| 13–6 | -0.06 | 11% | 21 May → | ||
| 13–8 | 0.06 | 25% | 20 May → | ||
| 10–13 | -0.04 | 21% | 20 May → | ||
| 11–13 | -0.03 | 25% | 15 May → | ||
| 4–13 | -0.04 | 35% | 15 May → | ||
| 16–14 | 0.08 | 35% | 14 May → | ||
| 12–12 | -0.05 | 16% | 14 May → | ||
| 10–13 | 0.07 | 34% | 14 May → | ||
| 11–13 | -0.04 | 14% | 11 May → | ||
| 10–13 | -0.03 | 17% | 11 May → | ||
| 13–11 | -0.04 | 28% | 11 May → | ||
| 8–13 | 0.02 | 23% | 11 May → | ||
| 12–12 | 0.03 | 23% | 8 May → | ||
| 13–3 | -0.05 | 15% | 8 May → | ||
| 13–11 | 0.02 | 24% | 8 May → | ||
| 13–2 | 0.04 | 29% | 6 May → | ||
| 3–13 | -0.04 | 30% | 6 May → | ||
| 4–9 | -0.07 | 33% | 3 May → | ||
| 9–5 | 0.17 | 30% | 3 May → | ||
| 4–9 | -0.08 | 23% | 3 May → | ||
| 12–12 | -0.04 | 10% | 3 May → | ||
| 11–13 | 0.06 | 19% | 1 May → | ||
| 3–13 | -0.10 | 5% | 1 May → | ||
| 10–13 | 0.01 | 26% | 1 May → | ||
| 9–7 | -0.13 | 30% | 1 May → |
Match data via Leetify.
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