indeholic — CS2 Stats
76561198199611725[U:1:239345997]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 44.5% | 48.1% |
| Shot accuracy | 19.5% | 12.9% |
| Kill/death ratio | 1.04 | 1.08 |
| Match win rate | 28.9% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 ropz 87% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower positioning profile; lower 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
Areas to improve
Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 574ms 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 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 92 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 | 33 | 18–15 | 55% | -0.02 | |
| A | 18 | 10–8 | 56% | 0.02 | |
| S | 12 | 8–4 | 67% | -0.01 | |
| A | 10 | 6–4 | 60% | -0.02 | |
| D | 9 | 3–6 | 33% | -0.03 | |
| S | 7 | 5–2 | 71% | -0.00 | |
| — | 3 | 1–2 | 33% | 0.03 |
Across the last 92 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 9). 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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.2089 — below the 4 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 36.1279% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.06 | 10% | 28 Aug → | ||
| 13–5 | -0.07 | 20% | 28 Aug → | ||
| 13–10 | -0.02 | 26% | 28 Aug → | ||
| 13–0 | 0.01 | 26% | 28 Aug → | ||
| 13–7 | 0.05 | 28% | 28 Aug → | ||
| 13–6 | 0.06 | 16% | 28 Aug → | ||
| 4–13 | -0.02 | 26% | 27 Aug → | ||
| 5–13 | 0.00 | 11% | 27 Aug → | ||
| 9–13 | 0.07 | 33% | 27 Aug → | ||
| 1–13 | -0.04 | 36% | 27 Aug → | ||
| 9–13 | -0.06 | 32% | 27 Aug → | ||
| 4–13 | 0.02 | 22% | 25 Aug → | ||
| 13–2 | -0.06 | 9% | 21 Aug → | ||
| 9–13 | -0.05 | 24% | 21 Aug → | ||
| 12–12 | -0.05 | 22% | 19 Aug → | ||
| 6–13 | 0.17 | 42% | 19 Aug → | ||
| 13–7 | 0.00 | 30% | 19 Aug → | ||
| 11–13 | -0.07 | 15% | 19 Aug → | ||
| 13–1 | 0.01 | 24% | 19 Aug → | ||
| 4–13 | -0.05 | 50% | 18 Aug → | ||
| 13–10 | 0.16 | 25% | 18 Aug → | ||
| 12–12 | -0.01 | 33% | 17 Aug → | ||
| 13–3 | 0.07 | 26% | 16 Aug → | ||
| 3–13 | -0.04 | 45% | 16 Aug → | ||
| 13–7 | -0.01 | 30% | 16 Aug → | ||
| 13–6 | 0.03 | 28% | 15 Aug → | ||
| 13–1 | 0.07 | 54% | 15 Aug → | ||
| 4–13 | -0.06 | 15% | 15 Aug → | ||
| 13–8 | -0.05 | 20% | 14 Aug → | ||
| 3–13 | -0.04 | 19% | 13 Aug → | ||
| 13–10 | -0.01 | 29% | 13 Aug → | ||
| 13–10 | -0.04 | 33% | 12 Aug → | ||
| 9–13 | -0.05 | 11% | 11 Aug → | ||
| 7–13 | -0.03 | 20% | 10 Aug → | ||
| 13–2 | 0.06 | 40% | 10 Aug → | ||
| 2–13 | -0.03 | 10% | 9 Aug → | ||
| 13–10 | -0.04 | 33% | 9 Aug → | ||
| 15–15 | -0.05 | 13% | 8 Aug → | ||
| 13–6 | 0.01 | 18% | 6 Aug → | ||
| 12–16 | -0.09 | 19% | 5 Aug → | ||
| 7–13 | 0.04 | 20% | 4 Aug → | ||
| 13–2 | 0.04 | 30% | 4 Aug → | ||
| 9–13 | 0.03 | 23% | 4 Aug → | ||
| 6–1 | -0.11 | 33% | 4 Aug → | ||
| 0–3 | 0.09 | 75% | 2 Aug → | ||
| 13–8 | 0.02 | 21% | 2 Aug → | ||
| 13–0 | 0.08 | 32% | 2 Aug → | ||
| 13–8 | 0.03 | 23% | 1 Aug → | ||
| 13–8 | -0.06 | 10% | 31 Jul → | ||
| 13–7 | -0.08 | 7% | 31 Jul → | ||
| 13–9 | -0.02 | 11% | 31 Jul → | ||
| 13–5 | 0.01 | 21% | 30 Jul → | ||
| 13–2 | 0.07 | 24% | 30 Jul → | ||
| 13–4 | -0.02 | 24% | 30 Jul → | ||
| 13–6 | -0.03 | 53% | 30 Jul → | ||
| 13–8 | 0.04 | 44% | 28 Jul → | ||
| 13–5 | -0.01 | 22% | 28 Jul → | ||
| 13–2 | -0.01 | 23% | 28 Jul → | ||
| 13–11 | -0.02 | 21% | 27 Jul → | ||
| 0–13 | -0.04 | 0% | 26 Jul → | ||
| 13–11 | 0.14 | 16% | 23 Jul → | ||
| 13–8 | 0.00 | 30% | 23 Jul → | ||
| 0–13 | -0.05 | 42% | 23 Jul → | ||
| 2–13 | -0.04 | 0% | 23 Jul → | ||
| 0–13 | -0.02 | 50% | 23 Jul → | ||
| 13–7 | -0.04 | 22% | 23 Jul → | ||
| 13–10 | -0.04 | 33% | 23 Jul → | ||
| 13–10 | 0.06 | 45% | 23 Jul → | ||
| 1–13 | -0.02 | 50% | 23 Jul → | ||
| 4–13 | -0.07 | 33% | 22 Jul → | ||
| 10–13 | 0.05 | 18% | 22 Jul → | ||
| 8–13 | -0.02 | 28% | 22 Jul → | ||
| 13–10 | -0.05 | 44% | 20 Jul → | ||
| 0–13 | -0.08 | 0% | 20 Jul → | ||
| 7–13 | -0.05 | 10% | 20 Jul → | ||
| 15–15 | -0.08 | 21% | 20 Jul → | ||
| 13–11 | 0.00 | 30% | 20 Jul → | ||
| 13–0 | 0.14 | 38% | 20 Jul → | ||
| 6–13 | -0.06 | 30% | 20 Jul → | ||
| 13–10 | -0.06 | 16% | 19 Jul → | ||
| 14–16 | -0.07 | 22% | 19 Jul → | ||
| 13–9 | -0.02 | 48% | 19 Jul → | ||
| 13–0 | -0.00 | 0% | 19 Jul → | ||
| 13–2 | -0.05 | 32% | 19 Jul → | ||
| 13–7 | -0.05 | 17% | 19 Jul → | ||
| 13–2 | 0.06 | 19% | 19 Jul → | ||
| 11–13 | -0.10 | 33% | 19 Jul → | ||
| 13–5 | 0.08 | 27% | 19 Jul → | ||
| 9–13 | -0.06 | 13% | 1 Apr → | ||
| 9–13 | -0.02 | 11% | 29 Mar → | ||
| 7–9 | 0.00 | 15% | 13 Mar → | ||
| 9–5 | 0.02 | 18% | 6 Mar → |
Match data via Leetify.