Chubbz — CS2 Stats
US76561198093356762[U:1:133091034]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 1,274
- Next: Level 7 at 1,351 — 77 to go
- Reached: Level 6 · Level 5 · Level 4 · Level 3
- Level 6 first seen 2026-08-28
- Level 5 first seen 2026-08-28
Premier CS Rating
- At peak — 17,173
- Next: Pink band at 20,000 — 2,827 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 42.6% | 44.9% | 46.2% | 3.7% short |
| Shot accuracy | 16.6% | 11.8% | 12.5% | above |
| Kill/death ratio | 1.04 | 1.04 | 1.06 | meets |
| Match win rate | 52.5% | 45.3% | 45.9% | above |
This profile matches the typical Level 7 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 7 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: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 87% 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
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Reaction time. 588ms 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 5.6/10 (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 |
|---|---|---|---|---|---|
| B | 28 | 14–14 | 50% | 0.01 | |
| A | 15 | 9–6 | 60% | -0.00 | |
| B | 15 | 7–8 | 47% | 0.02 | |
| C | 12 | 5–7 | 42% | 0.01 | |
| S | 11 | 9–2 | 82% | 0.01 | |
| S | 10 | 8–2 | 80% | 0.02 | |
| D | 9 | 2–7 | 22% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 9 | 56% | 0.93 | 13.8 |
| Dust2 | 6 | 67% | 1.12 | 15.7 |
| Mirage | 5 | 40% | 0.64 | 16.2 |
| Overpass | 4 | 100% | 1.27 | 13.3 |
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.
- 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 34.0735% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.02 | 15% | 26 Aug → | ||
| 13–5 | -0.09 | 9% | 26 Aug → | ||
| 16–12 | -0.01 | 12% | 25 Aug → | ||
| 13–4 | 0.08 | 16% | 25 Aug → | ||
| 13–11 | 0.02 | 15% | 25 Aug → | ||
| 13–16 | -0.03 | 21% | 25 Aug → | ||
| 13–5 | 0.07 | 22% | 25 Aug → | ||
| 1–6 | -0.01 | 20% | 25 Aug → | ||
| 13–7 | 0.07 | 16% | 25 Aug → | ||
| 8–13 | 0.03 | 17% | 15 Aug → | ||
| 10–13 | 0.04 | 13% | 12 Aug → | ||
| 13–3 | 0.08 | 19% | 12 Aug → | ||
| 13–11 | -0.06 | 18% | 9 Aug → | ||
| 13–8 | 0.02 | 18% | 9 Aug → | ||
| 5–13 | -0.06 | 20% | 9 Aug → | ||
| 11–13 | -0.05 | 13% | 8 Aug → | ||
| 1–13 | 0.04 | 19% | 8 Aug → | ||
| 13–4 | 0.11 | 24% | 8 Aug → | ||
| 13–8 | -0.03 | 16% | 8 Aug → | ||
| 13–11 | -0.00 | 10% | 8 Aug → | ||
| 6–13 | -0.03 | 8% | 8 Aug → | ||
| 13–3 | 0.05 | 12% | 7 Aug → | ||
| 8–13 | -0.07 | 3% | 7 Aug → | ||
| 13–16 | 0.02 | 16% | 7 Aug → | ||
| 13–16 | -0.06 | 17% | 6 Aug → | ||
| 7–13 | -0.06 | 19% | 1 Aug → | ||
| 11–13 | 0.02 | 20% | 30 Jul → | ||
| 7–13 | 0.01 | 16% | 28 Jul → | ||
| 4–13 | -0.03 | 34% | 26 Jul → | ||
| 9–13 | -0.04 | 21% | 26 Jul → | ||
| 16–13 | -0.02 | 11% | 26 Jul → | ||
| 5–13 | -0.07 | 11% | 26 Jul → | ||
| 7–13 | 0.02 | 12% | 26 Jul → | ||
| 13–16 | -0.05 | 14% | 25 Jul → | ||
| 5–13 | -0.02 | 19% | 25 Jul → | ||
| 13–11 | 0.02 | 19% | 25 Jul → | ||
| 4–13 | -0.11 | 19% | 25 Jul → | ||
| 13–2 | 0.04 | 24% | 25 Jul → | ||
| 7–13 | 0.02 | 13% | 23 Jul → | ||
| 3–13 | -0.03 | 7% | 23 Jul → | ||
| 5–13 | -0.04 | 7% | 23 Jul → | ||
| 7–13 | -0.03 | 17% | 18 Jul → | ||
| 13–11 | -0.01 | 16% | 18 Jul → | ||
| 13–6 | -0.01 | 26% | 18 Jul → | ||
| 4–13 | -0.03 | 9% | 18 Jul → | ||
| 13–1 | 0.09 | 8% | 18 Jul → | ||
| 13–7 | -0.05 | 11% | 18 Jul → | ||
| 13–10 | 0.01 | 14% | 18 Jul → | ||
| 13–7 | 0.07 | 6% | 18 Jul → | ||
| 13–5 | -0.02 | 11% | 18 Jul → | ||
| 13–9 | -0.03 | 5% | 18 Jul → | ||
| 13–7 | 0.03 | 13% | 16 Jul → | ||
| 13–7 | 0.10 | 15% | 16 Jul → | ||
| 13–6 | 0.05 | 14% | 16 Jul → | ||
| 13–7 | 0.02 | 20% | 16 Jul → | ||
| 0–13 | -0.07 | 22% | 16 Jul → | ||
| 13–8 | 0.01 | 17% | 16 Jul → | ||
| 13–4 | 0.10 | 21% | 16 Jul → | ||
| 13–2 | 0.11 | 9% | 15 Jul → | ||
| 13–9 | 0.10 | 21% | 13 Jul → | ||
| 15–15 | 0.04 | 19% | 13 Jul → | ||
| 10–13 | -0.05 | 16% | 13 Jul → | ||
| 14–16 | 0.02 | 16% | 4 Jul → | ||
| 8–13 | -0.03 | 18% | 4 Jul → | ||
| 13–11 | 0.01 | 11% | 4 Jul → | ||
| 5–13 | 0.04 | 17% | 4 Jul → | ||
| 13–7 | -0.02 | 11% | 4 Jul → | ||
| 14–16 | 0.00 | 15% | 3 Jul → | ||
| 13–11 | 0.10 | 14% | 2 Jul → | ||
| 9–13 | -0.02 | 21% | 2 Jul → | ||
| 13–3 | 0.05 | 15% | 2 Jul → | ||
| 13–8 | 0.02 | 9% | 2 Jul → | ||
| 13–7 | -0.02 | 10% | 2 Jul → | ||
| 13–7 | 0.05 | 12% | 1 Jul → | ||
| 10–13 | 0.03 | 17% | 1 Jul → | ||
| 11–13 | 0.04 | 20% | 30 Jun → | ||
| 13–11 | 0.04 | 36% | 29 Jun → | ||
| 13–6 | 0.00 | 17% | 28 Jun → | ||
| 13–11 | 0.04 | 14% | 28 Jun → | ||
| 13–7 | 0.06 | 12% | 27 Jun → | ||
| 6–13 | 0.05 | 19% | 27 Jun → | ||
| 13–3 | -0.00 | 14% | 27 Jun → | ||
| 16–12 | 0.09 | 23% | 27 Jun → | ||
| 6–13 | 0.06 | 28% | 27 Jun → | ||
| 16–14 | -0.00 | 16% | 26 Jun → | ||
| 11–13 | -0.02 | 11% | 24 Jun → | ||
| 13–7 | 0.03 | 11% | 22 Jun → | ||
| 13–6 | 0.08 | 14% | 11 Jun → | ||
| 16–13 | 0.08 | 16% | 11 Jun → | ||
| 8–13 | -0.04 | 5% | 10 Jun → | ||
| 3–12 | 0.09 | 23% | 10 Jun → | ||
| 7–13 | -0.06 | 20% | 30 May → | ||
| 16–13 | 0.07 | 26% | 26 May → | ||
| 11–13 | -0.02 | 23% | 26 May → | ||
| 5–13 | 0.04 | 17% | 25 May → | ||
| 15–15 | 0.01 | 13% | 25 May → | ||
| 13–6 | -0.01 | 27% | 25 May → | ||
| 13–11 | -0.02 | 18% | 25 May → | ||
| 13–11 | 0.02 | 10% | 2 May → | ||
| 2–13 | -0.06 | 14% | 2 May → |
Match data via Leetify.