CrackedFluid — CS2 Stats
US76561198253547866[U:1:293282138]Steam profile ↗
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 35.2% | 44.2% | 47.1% | 11.9% short |
| Shot accuracy | 10.1% | 11.6% | 12.8% | 2.7% short |
| Kill/death ratio | 0.88 | 1.03 | 1.08 | 0.21 short |
| Match win rate | 36.7% | 45.2% | 46.6% | 9.9% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Headshot rate. That is the metric furthest from the Pink band 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: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited 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 NiKo 81% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 47% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
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 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
 nuke | S | 20 | 15–5 | 75% | -0.02 |
 anubis | B | 18 | 9–9 | 50% | -0.02 |
 ancient | B | 17 | 9–8 | 53% | -0.02 |
 cache | D | 16 | 5–11 | 31% | -0.03 |
| office | B | 15 | 8–7 | 53% | -0.00 |
 dust2 | D | 9 | 1–8 | 11% | -0.04 |
 mirage | — | 4 | 2–2 | 50% | 0.01 |
 inferno | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 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.
- 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 12.6676% — below the 15% mark we flag
- 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 0.453 — 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 28.631% — 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.
11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 6–13 | -0.04 | 12% | 27 Aug → | |
| nuke | 14–16 | -0.08 | 15% | 27 Aug → | |
| cache | 15–15 | -0.01 | 9% | 25 Aug → | |
| ancient | 13–9 | 0.02 | 9% | 25 Aug → | |
| office | 13–11 | -0.02 | 17% | 25 Aug → | |
| mirage | 15–15 | -0.05 | 9% | 24 Aug → | |
| nuke | 13–10 | -0.01 | 23% | 24 Aug → | |
| nuke | 13–9 | 0.02 | 15% | 21 Aug → | |
| dust2 | 11–13 | -0.06 | 7% | 21 Aug → | |
| nuke | 13–10 | -0.07 | 6% | 18 Aug → | |
| cache | 4–13 | -0.11 | 7% | 18 Aug → | |
| ancient | 10–13 | -0.04 | 9% | 17 Aug → | |
| ancient | 13–11 | 0.02 | 13% | 17 Aug → | |
| ancient | 13–9 | -0.01 | 10% | 16 Aug → | |
| dust2 | 16–14 | -0.01 | 13% | 13 Aug → | |
| cache | 10–13 | -0.07 | 12% | 13 Aug → | |
| cache | 13–11 | -0.01 | 8% | 11 Aug → | |
| anubis | 13–8 | 0.05 | 20% | 11 Aug → | |
| nuke | 13–7 | 0.01 | 20% | 11 Aug → | |
| ancient | 13–4 | -0.05 | 18% | 9 Aug → | |
| ancient | 13–6 | 0.08 | 17% | 9 Aug → | |
| mirage | 13–3 | 0.10 | 12% | 9 Aug → | |
| nuke | 16–12 | -0.05 | 19% | 8 Aug → | |
| cache | 13–5 | 0.00 | 13% | 8 Aug → | |
| dust2 | 8–13 | -0.10 | 26% | 8 Aug → | |
| anubis | 13–8 | -0.01 | 3% | 4 Aug → | |
| ancient | 8–13 | -0.08 | 12% | 4 Aug → | |
| ancient | 13–6 | 0.00 | 11% | 4 Aug → | |
| office | 9–13 | -0.08 | 0% | 1 Aug → | |
| cache | 11–13 | -0.03 | 15% | 1 Aug → | |
| anubis | 13–6 | 0.06 | 10% | 1 Aug → | |
| nuke | 13–11 | -0.08 | 15% | 1 Aug → | |
| mirage | 13–5 | 0.02 | 10% | 31 Jul → | |
| nuke | 9–13 | -0.00 | 23% | 30 Jul → | |
| cache | 11–13 | -0.06 | 4% | 30 Jul → | |
| nuke | 13–8 | 0.03 | 19% | 28 Jul → | |
| anubis | 13–9 | -0.03 | 14% | 28 Jul → | |
| anubis | 2–10 | -0.09 | 20% | 28 Jul → | |
| cache | 9–13 | -0.03 | 15% | 28 Jul → | |
| anubis | 12–16 | -0.03 | 21% | 27 Jul → | |
| cache | 13–5 | -0.01 | 14% | 27 Jul → | |
| cache | 1–4 | -0.06 | 20% | 27 Jul → | |
| ancient | 11–13 | 0.01 | 12% | 24 Jul → | |
| nuke | 13–6 | 0.01 | 20% | 24 Jul → | |
| office | 13–11 | -0.01 | 11% | 24 Jul → | |
| cache | 10–13 | -0.01 | 12% | 23 Jul → | |
| ancient | 8–13 | -0.05 | 6% | 23 Jul → | |
| anubis | 13–5 | 0.12 | 24% | 23 Jul → | |
| nuke | 13–10 | -0.05 | 8% | 21 Jul → | |
| cache | 5–13 | -0.06 | 11% | 21 Jul → | |
| anubis | 14–16 | 0.01 | 10% | 21 Jul → | |
| nuke | 13–5 | 0.02 | 20% | 20 Jul → | |
| cache | 9–13 | -0.01 | 18% | 20 Jul → | |
| anubis | 13–11 | -0.09 | 18% | 20 Jul → | |
| cache | 13–4 | 0.06 | 30% | 16 Jul → | |
| office | 13–11 | -0.01 | 17% | 14 Jul → | |
| cache | 3–13 | -0.04 | 8% | 14 Jul → | |
| cache | 13–4 | -0.06 | 4% | 14 Jul → | |
| ancient | 7–13 | -0.01 | 7% | 14 Jul → | |
| anubis | 7–13 | -0.07 | 16% | 14 Jul → | |
| office | 12–12 | -0.06 | 18% | 13 Jul → | |
| office | 9–13 | -0.02 | 10% | 8 Jul → | |
| office | 13–11 | 0.08 | 16% | 7 Jul → | |
| inferno | 9–13 | -0.06 | 7% | 4 Jul → | |
| anubis | 10–13 | -0.03 | 11% | 4 Jul → | |
| ancient | 13–5 | -0.00 | 8% | 4 Jul → | |
| ancient | 7–13 | -0.03 | 12% | 3 Jul → | |
| nuke | 13–6 | -0.03 | 11% | 3 Jul → | |
| nuke | 13–9 | -0.02 | 16% | 3 Jul → | |
| office | 10–13 | -0.06 | 10% | 3 Jul → | |
| office | 2–13 | -0.07 | 13% | 29 Jun → | |
| nuke | 15–15 | -0.02 | 11% | 28 Jun → | |
| dust2 | 3–13 | -0.06 | 11% | 28 Jun → | |
| anubis | 7–13 | -0.08 | 11% | 28 Jun → | |
| office | 12–12 | 0.04 | 18% | 23 Jun → | |
| nuke | 9–13 | -0.09 | 9% | 23 Jun → | |
| mirage | 11–13 | -0.05 | 7% | 23 Jun → | |
| anubis | 13–9 | -0.12 | 5% | 15 Jun → | |
| dust2 | 7–13 | -0.00 | 10% | 15 Jun → | |
| ancient | 15–15 | -0.03 | 9% | 14 Jun → | |
| anubis | 13–8 | 0.07 | 19% | 14 Jun → | |
| nuke | 1–13 | -0.08 | 20% | 14 Jun → | |
| office | 10–13 | 0.02 | 16% | 14 Jun → | |
| dust2 | 15–15 | 0.02 | 11% | 11 Jun → | |
| ancient | 13–9 | -0.07 | 12% | 11 Jun → | |
| nuke | 13–8 | 0.01 | 17% | 11 Jun → | |
| office | 13–9 | -0.02 | 10% | 11 Jun → | |
| anubis | 13–10 | 0.01 | 12% | 8 Jun → | |
| ancient | 13–9 | -0.05 | 12% | 8 Jun → | |
| nuke | 13–10 | -0.00 | 12% | 8 Jun → | |
| office | 13–6 | 0.05 | 7% | 7 Jun → | |
| office | 13–4 | 0.02 | 13% | 2 Jun → | |
| dust2 | 7–13 | -0.04 | 11% | 2 Jun → | |
| ancient | 12–16 | -0.08 | 7% | 2 Jun → | |
| nuke | 13–10 | 0.01 | 8% | 1 Jun → | |
| dust2 | 11–13 | -0.02 | 14% | 1 Jun → | |
| anubis | 9–13 | -0.05 | 20% | 21 May → | |
| dust2 | 4–13 | -0.06 | 16% | 19 May → | |
| anubis | 10–13 | -0.00 | 13% | 19 May → | |
| office | 13–1 | 0.12 | 12% | 19 May → |
Match data via Leetify.