Krispy_Chicken TTV — CS2 Stats
76561198097268971[U:1:137003243]
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 28.8% | 40.1% | 41.7% | 12.9% short |
| Shot accuracy | 12.1% | 7.6% | 8.8% | above |
| Kill/death ratio | 0.87 | 0.92 | 0.97 | 0.10 short |
| Match win rate | 40.4% | 42.2% | 43.8% | 3.4% short |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Blue 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: +30pp 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 65% playstyle similarity
Most alike: opening-duel success, positioning profile.
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 38% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 636ms 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 2.8/10 (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 |
|---|---|---|---|---|---|
| C | 20 | 7–13 | 35% | -0.02 | |
| B | 18 | 9–9 | 50% | -0.02 | |
| A | 16 | 9–7 | 56% | 0.02 | |
| D | 12 | 2–10 | 17% | -0.03 | |
| B | 11 | 5–6 | 45% | -0.01 | |
| A | 11 | 7–4 | 64% | 0.01 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| — | 4 | 1–3 | 25% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (17% over 12). 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.
- 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 10.1884% — 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 0.2049 — 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 21.4086% — 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.
17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.10 | 1% | 24 Aug → | ||
| 3–13 | -0.05 | 17% | 24 Aug → | ||
| 13–3 | 0.03 | 7% | 23 Aug → | ||
| 13–7 | 0.08 | 14% | 23 Aug → | ||
| 10–13 | -0.07 | 18% | 16 Aug → | ||
| 13–8 | 0.01 | 16% | 16 Aug → | ||
| 16–14 | -0.07 | 13% | 16 Aug → | ||
| 13–6 | 0.05 | 11% | 16 Aug → | ||
| 4–13 | -0.02 | 11% | 9 Aug → | ||
| 9–13 | -0.03 | 6% | 9 Aug → | ||
| 10–13 | -0.01 | 11% | 9 Aug → | ||
| 13–11 | -0.06 | 3% | 8 Aug → | ||
| 14–16 | -0.01 | 9% | 8 Aug → | ||
| 9–13 | -0.00 | 17% | 6 Aug → | ||
| 7–13 | 0.03 | 12% | 6 Aug → | ||
| 16–12 | -0.07 | 9% | 2 Aug → | ||
| 16–12 | 0.02 | 4% | 2 Aug → | ||
| 8–13 | -0.06 | 10% | 2 Aug → | ||
| 11–13 | -0.01 | 9% | 2 Aug → | ||
| 10–13 | 0.00 | 16% | 2 Aug → | ||
| 4–13 | -0.08 | 13% | 2 Aug → | ||
| 13–10 | -0.02 | 6% | 2 Aug → | ||
| 8–13 | -0.02 | 8% | 2 Aug → | ||
| 13–6 | 0.00 | 13% | 1 Aug → | ||
| 10–13 | 0.03 | 11% | 1 Aug → | ||
| 11–13 | -0.03 | 7% | 1 Aug → | ||
| 10–13 | -0.02 | 11% | 31 Jul → | ||
| 13–6 | -0.03 | 4% | 31 Jul → | ||
| 11–13 | -0.01 | 11% | 30 Jul → | ||
| 7–13 | -0.09 | 9% | 28 Jul → | ||
| 13–8 | -0.03 | 13% | 28 Jul → | ||
| 13–7 | 0.04 | 6% | 27 Jul → | ||
| 16–12 | 0.02 | 16% | 27 Jul → | ||
| 7–13 | -0.03 | 10% | 27 Jul → | ||
| 7–13 | 0.02 | 14% | 26 Jul → | ||
| 10–13 | -0.06 | 8% | 25 Jul → | ||
| 13–6 | 0.07 | 12% | 25 Jul → | ||
| 8–13 | -0.05 | 9% | 25 Jul → | ||
| 5–13 | 0.01 | 14% | 25 Jul → | ||
| 15–15 | 0.01 | 8% | 23 Jul → | ||
| 11–13 | -0.05 | 14% | 23 Jul → | ||
| 4–13 | -0.02 | 8% | 19 Jul → | ||
| 13–7 | 0.03 | 8% | 19 Jul → | ||
| 5–13 | -0.05 | 7% | 19 Jul → | ||
| 7–13 | 0.01 | 6% | 19 Jul → | ||
| 6–13 | -0.03 | 6% | 19 Jul → | ||
| 13–4 | 0.02 | 4% | 19 Jul → | ||
| 11–13 | 0.04 | 7% | 19 Jul → | ||
| 13–11 | 0.03 | 6% | 19 Jul → | ||
| 7–13 | -0.04 | 15% | 12 Jul → | ||
| 13–10 | -0.06 | 9% | 12 Jul → | ||
| 13–6 | 0.01 | 5% | 12 Jul → | ||
| 8–13 | -0.04 | 15% | 3 Jul → | ||
| 5–13 | -0.02 | 10% | 29 Jun → | ||
| 13–8 | 0.08 | 13% | 29 Jun → | ||
| 13–9 | -0.02 | 13% | 25 Jun → | ||
| 13–16 | -0.05 | 9% | 25 Jun → | ||
| 4–13 | 0.02 | 6% | 24 Jun → | ||
| 13–9 | 0.07 | 9% | 22 Jun → | ||
| 13–8 | -0.02 | 7% | 19 Jun → | ||
| 9–13 | -0.02 | 9% | 16 Jun → | ||
| 15–15 | 0.04 | 12% | 15 Jun → | ||
| 13–8 | -0.03 | 7% | 7 Jun → | ||
| 14–16 | -0.04 | 5% | 7 Jun → | ||
| 15–15 | -0.05 | 3% | 7 Jun → | ||
| 13–8 | 0.05 | 4% | 7 Jun → | ||
| 13–7 | -0.01 | 13% | 7 Jun → | ||
| 13–8 | 0.01 | 4% | 7 Jun → | ||
| 10–13 | -0.09 | 2% | 7 Jun → | ||
| 12–12 | 0.02 | 13% | 6 Jun → | ||
| 13–9 | -0.10 | 8% | 6 Jun → | ||
| 13–10 | 0.05 | 11% | 6 Jun → | ||
| 9–13 | 0.02 | 7% | 6 Jun → | ||
| 11–13 | -0.04 | 9% | 5 Jun → | ||
| 10–13 | 0.02 | 6% | 4 Jun → | ||
| 4–13 | -0.08 | 8% | 4 Jun → | ||
| 13–4 | 0.01 | 6% | 4 Jun → | ||
| 13–7 | 0.06 | 9% | 3 Jun → | ||
| 13–9 | 0.02 | 13% | 3 Jun → | ||
| 13–16 | 0.07 | 13% | 2 Jun → | ||
| 8–13 | -0.06 | 5% | 2 Jun → | ||
| 9–13 | -0.06 | 13% | 31 May → | ||
| 13–1 | -0.02 | 8% | 31 May → | ||
| 14–16 | 0.00 | 6% | 31 May → | ||
| 13–9 | 0.03 | 10% | 31 May → | ||
| 14–16 | 0.01 | 11% | 31 May → | ||
| 7–13 | 0.01 | 9% | 31 May → | ||
| 5–13 | -0.07 | 5% | 31 May → | ||
| 13–8 | 0.02 | 7% | 30 May → | ||
| 13–9 | -0.02 | 12% | 30 May → | ||
| 12–12 | -0.03 | 6% | 30 May → | ||
| 7–13 | -0.01 | 11% | 30 May → | ||
| 9–13 | -0.06 | 14% | 30 May → | ||
| 13–8 | 0.09 | 10% | 30 May → | ||
| 13–11 | 0.04 | 15% | 30 May → | ||
| 13–7 | -0.02 | 5% | 30 May → | ||
| 5–13 | -0.04 | 17% | 29 May → | ||
| 13–8 | 0.01 | 5% | 28 May → | ||
| 5–13 | -0.03 | 10% | 28 May → | ||
| 13–8 | -0.01 | 12% | 25 May → |
Match data via Leetify.