Big Fat Caulk — CS2 Stats
US76561198067697980[U:1:107432252]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=917), 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 | 24.4% | 39.7% | 41.4% | 17.0% short |
| Shot accuracy | 9.3% | 6.7% | 9.0% | above |
| Kill/death ratio | 0.83 | 0.91 | 0.97 | 0.15 short |
| Match win rate | 37.6% | 42.1% | 43.7% | 6.1% 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.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 ZywOo 78% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 628ms 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 4.5/10 (Developing), 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 |
|---|---|---|---|---|---|
| D | 22 | 7–15 | 32% | -0.01 | |
| C | 16 | 7–9 | 44% | -0.01 | |
| B | 15 | 7–8 | 47% | 0.01 | |
| B | 14 | 7–7 | 50% | -0.00 | |
| A | 13 | 8–5 | 62% | 0.00 | |
| C | 12 | 5–7 | 42% | -0.01 | |
| C | 5 | 2–3 | 40% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| office | — | 1 | 1–0 | 100% | -0.12 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (32% over 22). 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 11.9978% — 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 0.204 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.01 | 9% | 2 Aug → | ||
| 13–10 | 0.05 | 13% | 2 Aug → | ||
| 16–12 | 0.02 | 13% | 2 Aug → | ||
| 8–13 | -0.03 | 14% | 2 Aug → | ||
| 10–13 | 0.07 | 15% | 1 Aug → | ||
| 13–3 | 0.09 | 9% | 30 Jul → | ||
| 13–7 | -0.03 | 10% | 29 Jul → | ||
| 11–13 | 0.00 | 14% | 29 Jul → | ||
| 15–15 | 0.02 | 7% | 28 Jul → | ||
| 8–13 | -0.01 | 9% | 28 Jul → | ||
| 8–13 | -0.03 | 29% | 27 Jul → | ||
| 13–11 | -0.01 | 15% | 27 Jul → | ||
| 13–7 | 0.01 | 11% | 27 Jul → | ||
| 13–9 | -0.04 | 6% | 27 Jul → | ||
| 16–13 | 0.01 | 7% | 27 Jul → | ||
| 5–13 | -0.06 | 11% | 25 Jul → | ||
| 15–15 | -0.02 | 10% | 25 Jul → | ||
| 7–13 | -0.02 | 12% | 24 Jul → | ||
| 9–13 | 0.05 | 17% | 24 Jul → | ||
| 8–13 | 0.04 | 6% | 24 Jul → | ||
| 7–13 | -0.02 | 0% | 24 Jul → | ||
| 13–4 | 0.04 | 13% | 24 Jul → | ||
| 13–9 | 0.07 | 23% | 24 Jul → | ||
| 15–15 | 0.06 | 18% | 24 Jul → | ||
| 2–13 | -0.01 | 0% | 23 Jul → | ||
| 13–10 | -0.00 | 6% | 23 Jul → | ||
| 14–16 | -0.04 | 10% | 22 Jul → | ||
| 8–13 | -0.05 | 4% | 22 Jul → | ||
| 7–13 | -0.04 | 29% | 22 Jul → | ||
| 11–13 | -0.01 | 14% | 22 Jul → | ||
| 5–13 | -0.06 | 19% | 21 Jul → | ||
| 13–6 | 0.17 | 15% | 21 Jul → | ||
| 7–13 | -0.04 | 6% | 20 Jul → | ||
| 15–15 | -0.03 | 6% | 20 Jul → | ||
| 16–12 | 0.01 | 12% | 19 Jul → | ||
| 12–15 | -0.07 | 4% | 19 Jul → | ||
| 11–13 | -0.01 | 4% | 19 Jul → | ||
| 5–13 | -0.03 | 0% | 19 Jul → | ||
| 13–5 | 0.02 | 12% | 19 Jul → | ||
| 4–13 | -0.01 | 11% | 18 Jul → | ||
| 9–13 | 0.03 | 15% | 18 Jul → | ||
| 13–2 | 0.09 | 12% | 17 Jul → | ||
| 6–13 | -0.01 | 12% | 17 Jul → | ||
| 5–13 | 0.03 | 14% | 17 Jul → | ||
| 13–5 | -0.01 | 7% | 17 Jul → | ||
| 13–11 | -0.03 | 13% | 17 Jul → | ||
| 13–4 | 0.03 | 21% | 16 Jul → | ||
| 11–13 | -0.05 | 5% | 16 Jul → | ||
| 15–15 | -0.01 | 7% | 16 Jul → | ||
| 13–5 | -0.02 | 3% | 15 Jul → | ||
| 5–13 | -0.11 | 4% | 14 Jul → | ||
| 13–10 | 0.01 | 7% | 14 Jul → | ||
| 16–14 | 0.02 | 3% | 14 Jul → | ||
| 2–8 | 0.03 | 10% | 13 Jul → | ||
| 5–13 | -0.03 | 13% | 13 Jul → | ||
| 13–4 | 0.04 | 4% | 13 Jul → | ||
| 6–13 | -0.04 | 3% | 12 Jul → | ||
| 13–4 | 0.05 | 0% | 12 Jul → | ||
| 12–12 | -0.02 | 13% | 12 Jul → | ||
| 13–16 | -0.01 | 11% | 12 Jul → | ||
| 16–14 | -0.01 | 6% | 12 Jul → | ||
| 9–13 | -0.05 | 5% | 12 Jul → | ||
| 7–13 | -0.07 | 8% | 12 Jul → | ||
| 13–7 | 0.04 | 4% | 12 Jul → | ||
| 13–6 | 0.03 | 2% | 12 Jul → | ||
| 15–15 | -0.02 | 12% | 11 Jul → | ||
| 9–13 | -0.01 | 4% | 11 Jul → | ||
| 6–13 | -0.04 | 5% | 11 Jul → | ||
| 16–14 | -0.02 | 17% | 11 Jul → | ||
| 13–8 | -0.03 | 0% | 11 Jul → | ||
| 13–9 | 0.00 | 15% | 11 Jul → | ||
| 4–13 | -0.02 | 18% | 11 Jul → | ||
| 13–6 | -0.00 | 0% | 11 Jul → | ||
| 13–3 | -0.02 | 11% | 11 Jul → | ||
| 13–11 | -0.07 | 3% | 11 Jul → | ||
| 13–16 | 0.01 | 11% | 10 Jul → | ||
| 13–4 | 0.02 | 0% | 10 Jul → | ||
| 9–13 | -0.04 | 14% | 10 Jul → | ||
| 13–11 | -0.03 | 9% | 10 Jul → | ||
| 7–13 | -0.05 | 2% | 9 Jul → | ||
| 4–13 | -0.01 | 9% | 9 Jul → | ||
| 13–5 | -0.00 | 6% | 9 Jul → | ||
| 10–13 | -0.05 | 15% | 9 Jul → | ||
| office | 9–9 | -0.12 | 13% | 7 Jul → | |
| 10–13 | 0.00 | 18% | 6 Jul → | ||
| 13–4 | -0.01 | 50% | 5 Jul → | ||
| 13–1 | 0.02 | 3% | 5 Jul → | ||
| 13–10 | -0.01 | 8% | 5 Jul → | ||
| 13–9 | 0.03 | 8% | 5 Jul → | ||
| 13–8 | 0.00 | 2% | 5 Jul → | ||
| 13–9 | -0.01 | 5% | 5 Jul → | ||
| 8–13 | -0.06 | 5% | 5 Jul → | ||
| 13–10 | -0.05 | 6% | 4 Jul → | ||
| 13–11 | -0.06 | 10% | 4 Jul → | ||
| 5–13 | -0.01 | 7% | 4 Jul → | ||
| 10–13 | 0.02 | 14% | 4 Jul → | ||
| 13–6 | 0.12 | 6% | 4 Jul → | ||
| 11–13 | -0.01 | 6% | 4 Jul → | ||
| 15–15 | -0.02 | 12% | 4 Jul → | ||
| 6–13 | -0.02 | 10% | 4 Jul → |
Match data via Leetify.