Big Bubba — CS2 Stats
FI76561198281589775[U:1:321324047]Steam profile ↗
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; lower aim profile.
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
Reaction time. 551ms 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 (×1.02 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 | 21 | 8–13 | 38% | -0.01 | |
| S | 19 | 13–6 | 68% | 0.03 | |
| C | 18 | 7–11 | 39% | -0.01 | |
| S | 14 | 10–4 | 71% | 0.01 | |
| S | 10 | 7–3 | 70% | 0.01 | |
| A | 7 | 4–3 | 57% | 0.06 | |
| D | 6 | 2–4 | 33% | -0.01 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| eldorado | — | 1 | 1–0 | 100% | 0.20 |
| — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 6). 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 262 | 46% | 0.94 | 14.6 |
| Ancient | 109 | 56% | 0.98 | 14.6 |
| Nuke | 95 | 59% | 1.01 | 14.4 |
| Anubis | 75 | 57% | 1.08 | 15.2 |
| Dust2 | 74 | 47% | 0.90 | 13.4 |
| Cache | 60 | 48% | 0.94 | 14.3 |
| Inferno | 40 | 50% | 1.07 | 15.4 |
| Overpass | 22 | 45% | 0.84 | 14.9 |
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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.8126% — 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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.02 | 21% | 20 Aug → | ||
| 8–13 | 0.01 | 32% | 20 Aug → | ||
| 6–13 | -0.07 | 18% | 20 Aug → | ||
| 10–13 | 0.01 | 30% | 18 Aug → | ||
| 25–23 | 0.03 | 16% | 16 Aug → | ||
| 13–10 | -0.05 | 21% | 16 Aug → | ||
| 25–21 | -0.02 | 16% | 16 Aug → | ||
| 13–8 | 0.02 | 14% | 15 Aug → | ||
| 13–6 | 0.07 | 21% | 15 Aug → | ||
| 6–13 | -0.05 | 29% | 15 Aug → | ||
| 14–16 | -0.05 | 20% | 15 Aug → | ||
| 11–13 | 0.02 | 23% | 15 Aug → | ||
| 9–13 | -0.01 | 12% | 13 Aug → | ||
| 13–7 | -0.04 | 25% | 13 Aug → | ||
| 13–11 | -0.03 | 10% | 7 Aug → | ||
| 13–10 | 0.03 | 25% | 5 Aug → | ||
| 13–7 | -0.05 | 15% | 5 Aug → | ||
| 9–13 | -0.01 | 11% | 5 Aug → | ||
| 11–13 | 0.01 | 22% | 4 Aug → | ||
| 5–9 | 0.01 | 20% | 4 Aug → | ||
| 13–1 | 0.08 | 21% | 4 Aug → | ||
| 5–13 | 0.04 | 17% | 4 Aug → | ||
| 13–6 | 0.04 | 20% | 4 Aug → | ||
| eldorado | 9–4 | 0.20 | 15% | 4 Aug → | |
| 8–13 | -0.06 | 20% | 4 Aug → | ||
| 11–13 | -0.07 | 12% | 4 Aug → | ||
| 16–13 | -0.00 | 20% | 3 Aug → | ||
| 13–4 | -0.03 | 16% | 3 Aug → | ||
| 13–11 | -0.06 | 13% | 2 Aug → | ||
| 13–6 | -0.05 | 12% | 29 Jul → | ||
| 10–13 | 0.02 | 10% | 26 Jul → | ||
| 12–16 | 0.01 | 17% | 26 Jul → | ||
| 6–13 | -0.02 | 12% | 26 Jul → | ||
| 13–4 | 0.05 | 19% | 26 Jul → | ||
| 13–8 | 0.02 | 15% | 26 Jul → | ||
| 4–13 | -0.04 | 15% | 25 Jul → | ||
| 7–13 | -0.01 | 22% | 25 Jul → | ||
| 9–13 | -0.02 | 13% | 24 Jul → | ||
| 11–13 | 0.05 | 21% | 24 Jul → | ||
| 3–13 | 0.02 | 23% | 24 Jul → | ||
| 13–6 | 0.01 | 30% | 24 Jul → | ||
| 13–11 | 0.02 | 19% | 24 Jul → | ||
| 4–13 | -0.02 | 26% | 24 Jul → | ||
| 13–11 | -0.03 | 12% | 24 Jul → | ||
| 9–5 | -0.04 | 17% | 24 Jul → | ||
| 13–3 | -0.03 | 13% | 24 Jul → | ||
| 9–13 | 0.02 | 20% | 23 Jul → | ||
| 9–6 | 0.21 | 19% | 23 Jul → | ||
| 16–14 | 0.01 | 9% | 23 Jul → | ||
| 8–13 | 0.03 | 16% | 22 Jul → | ||
| 13–3 | -0.04 | 7% | 20 Jul → | ||
| 8–13 | -0.05 | 17% | 16 Jul → | ||
| 10–13 | 0.01 | 25% | 15 Jul → | ||
| 13–7 | 0.00 | 12% | 15 Jul → | ||
| 8–13 | -0.02 | 12% | 15 Jul → | ||
| 13–9 | 0.11 | 19% | 15 Jul → | ||
| 13–8 | 0.13 | 26% | 15 Jul → | ||
| 13–4 | 0.09 | 30% | 15 Jul → | ||
| 10–13 | 0.07 | 17% | 15 Jul → | ||
| 13–7 | -0.02 | 31% | 14 Jul → | ||
| 3–13 | -0.04 | 27% | 14 Jul → | ||
| 12–6 | -0.01 | 20% | 14 Jul → | ||
| 13–5 | -0.04 | 15% | 14 Jul → | ||
| 13–3 | -0.02 | 21% | 14 Jul → | ||
| 13–9 | -0.04 | 11% | 14 Jul → | ||
| 9–13 | -0.05 | 13% | 14 Jul → | ||
| 1–13 | -0.07 | 9% | 14 Jul → | ||
| 4–13 | -0.05 | 26% | 13 Jul → | ||
| 9–13 | -0.05 | 16% | 13 Jul → | ||
| 9–13 | 0.02 | 18% | 13 Jul → | ||
| 13–8 | 0.06 | 24% | 13 Jul → | ||
| 13–1 | 0.01 | 16% | 9 Jul → | ||
| 1–13 | 0.01 | 19% | 9 Jul → | ||
| 16–12 | -0.04 | 25% | 9 Jul → | ||
| 13–6 | 0.08 | 19% | 9 Jul → | ||
| 13–16 | 0.03 | 13% | 9 Jul → | ||
| 13–7 | 0.09 | 26% | 9 Jul → | ||
| 4–13 | -0.08 | 29% | 8 Jul → | ||
| 7–13 | -0.00 | 18% | 8 Jul → | ||
| 13–9 | -0.07 | 12% | 8 Jul → | ||
| 13–7 | 0.05 | 31% | 8 Jul → | ||
| 13–5 | 0.08 | 27% | 8 Jul → | ||
| 13–10 | -0.03 | 13% | 6 Jul → | ||
| 1–13 | -0.03 | 32% | 6 Jul → | ||
| 13–3 | 0.02 | 17% | 6 Jul → | ||
| 13–10 | 0.03 | 31% | 6 Jul → | ||
| 13–8 | 0.08 | 15% | 5 Jul → | ||
| 19–15 | -0.03 | 16% | 4 Jul → | ||
| 2–13 | -0.05 | 29% | 4 Jul → | ||
| 13–2 | 0.14 | 21% | 4 Jul → | ||
| 4–13 | 0.12 | 18% | 4 Jul → | ||
| 13–11 | 0.14 | 21% | 4 Jul → | ||
| 11–13 | 0.07 | 21% | 4 Jul → | ||
| 3–13 | 0.05 | 22% | 4 Jul → | ||
| 9–7 | 0.15 | 23% | 4 Jul → | ||
| 7–13 | -0.04 | 16% | 3 Jul → | ||
| 13–7 | 0.01 | 20% | 2 Jul → | ||
| 7–13 | -0.05 | 24% | 1 Jul → | ||
| 13–11 | 0.07 | 13% | 22 Jun → | ||
| 8–13 | 0.01 | 21% | 22 Jun → |
Match data via Leetify.
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