✡ BullshitMaxxing ✡ — CS2 Stats
CA76561198055069277[U:1:94803549]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.06 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafing
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 ropz 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower aim profile; lower opening-duel success.
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. 674ms 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 6.3/10 (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 | C | 64 | 28–36 | 44% | 0.01 |
| office | A | 20 | 11–9 | 55% | 0.04 |
 cache | B | 14 | 7–7 | 50% | -0.01 |
 overpass | — | 1 | 0–1 | 0% | 0.01 |
 train | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (44% over 64). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Cache | 24 | 62% | 1.16 | 14.1 |
| Vertigo | 17 | 71% | 1.15 | 16.1 |
| Nuke | 15 | 60% | 1.37 | 19.3 |
| Inferno | 6 | 67% | 1.56 | 18.5 |
| Overpass | 5 | 40% | 1.50 | 16.4 |
| Anubis | 2 | 0% | 0.86 | 15.5 |
| Dust2 | 2 | 50% | 0.98 | 10.5 |
| Mirage | 1 | 0% | 0.79 | 15.0 |
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.
- 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 0.4999 — 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 35.9694% — 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.
44% win rate across 64 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 4–13 | 0.08 | 30% | 26 Aug → | |
| office | 13–6 | 0.09 | 33% | 25 Aug → | |
| office | 13–7 | 0.15 | 27% | 25 Aug → | |
| office | 4–13 | 0.05 | 47% | 25 Aug → | |
| office | 13–7 | -0.03 | 14% | 23 Aug → | |
| nuke | 9–13 | -0.01 | 14% | 23 Aug → | |
| office | 12–12 | 0.05 | 14% | 22 Aug → | |
| office | 13–6 | 0.04 | 27% | 21 Aug → | |
| office | 13–8 | 0.00 | 14% | 19 Aug → | |
| office | 8–13 | -0.04 | 9% | 19 Aug → | |
| nuke | 12–12 | 0.02 | 20% | 16 Aug → | |
| nuke | 5–13 | -0.00 | 25% | 16 Aug → | |
| nuke | 2–13 | -0.08 | 13% | 16 Aug → | |
| cache | 2–13 | -0.02 | 23% | 15 Aug → | |
| nuke | 4–13 | -0.03 | 30% | 15 Aug → | |
| nuke | 8–13 | -0.05 | 22% | 15 Aug → | |
| overpass | 6–13 | 0.01 | 29% | 15 Aug → | |
| train | 12–12 | -0.05 | 13% | 15 Aug → | |
| nuke | 13–4 | 0.02 | 10% | 15 Aug → | |
| nuke | 13–11 | -0.08 | 7% | 14 Aug → | |
| nuke | 13–2 | -0.02 | 44% | 14 Aug → | |
| nuke | 11–2 | 0.01 | 73% | 12 Aug → | |
| nuke | 10–13 | -0.00 | 28% | 12 Aug → | |
| nuke | 13–4 | 0.08 | 20% | 12 Aug → | |
| nuke | 13–7 | 0.14 | 19% | 11 Aug → | |
| nuke | 13–3 | 0.11 | 12% | 10 Aug → | |
| nuke | 11–13 | 0.03 | 23% | 9 Aug → | |
| nuke | 13–5 | 0.00 | 19% | 9 Aug → | |
| nuke | 0–8 | 0.04 | 40% | 9 Aug → | |
| nuke | 13–10 | -0.05 | 50% | 9 Aug → | |
| nuke | 7–13 | -0.01 | 17% | 9 Aug → | |
| office | 10–13 | 0.00 | 23% | 9 Aug → | |
| nuke | 6–7 | 0.04 | 12% | 8 Aug → | |
| nuke | 10–13 | 0.04 | 10% | 8 Aug → | |
| office | 3–13 | 0.09 | 15% | 8 Aug → | |
| nuke | 5–13 | -0.04 | 33% | 8 Aug → | |
| nuke | 13–10 | 0.05 | 16% | 8 Aug → | |
| nuke | 7–13 | -0.06 | 43% | 6 Aug → | |
| nuke | 2–13 | -0.04 | 43% | 6 Aug → | |
| office | 10–13 | -0.07 | 8% | 5 Aug → | |
| nuke | 9–13 | -0.06 | 14% | 3 Aug → | |
| nuke | 13–2 | -0.01 | 15% | 2 Aug → | |
| nuke | 13–9 | -0.02 | 8% | 2 Aug → | |
| nuke | 4–13 | -0.01 | 0% | 2 Aug → | |
| nuke | 13–6 | 0.08 | 19% | 31 Jul → | |
| nuke | 13–8 | -0.00 | 11% | 31 Jul → | |
| office | 12–12 | -0.00 | 14% | 30 Jul → | |
| nuke | 10–13 | 0.04 | 27% | 27 Jul → | |
| office | 11–13 | 0.06 | 27% | 26 Jul → | |
| nuke | 3–13 | 0.06 | 25% | 26 Jul → | |
| nuke | 12–12 | -0.03 | 10% | 25 Jul → | |
| nuke | 5–9 | 0.21 | 16% | 25 Jul → | |
| nuke | 9–13 | 0.04 | 25% | 25 Jul → | |
| nuke | 13–6 | -0.08 | 15% | 14 Jul → | |
| nuke | 2–13 | 0.05 | 42% | 14 Jul → | |
| office | 13–11 | 0.04 | 24% | 10 Jul → | |
| nuke | 6–13 | -0.01 | 24% | 9 Jul → | |
| office | 13–5 | 0.04 | 14% | 8 Jul → | |
| nuke | 4–13 | 0.01 | 18% | 6 Jul → | |
| nuke | 10–13 | -0.06 | 14% | 5 Jul → | |
| office | 13–6 | 0.09 | 12% | 5 Jul → | |
| office | 13–9 | 0.03 | 33% | 5 Jul → | |
| office | 13–4 | 0.05 | 50% | 5 Jul → | |
| nuke | 13–0 | 0.10 | 14% | 5 Jul → | |
| nuke | 8–13 | 0.04 | 15% | 5 Jul → | |
| cache | 13–4 | 0.03 | 14% | 5 Jul → | |
| office | 13–5 | 0.04 | 15% | 4 Jul → | |
| nuke | 6–13 | -0.00 | 29% | 4 Jul → | |
| nuke | 7–13 | -0.02 | 28% | 4 Jul → | |
| nuke | 4–13 | -0.07 | 24% | 4 Jul → | |
| nuke | 11–13 | 0.09 | 30% | 4 Jul → | |
| nuke | 3–13 | -0.06 | 18% | 3 Jul → | |
| nuke | 13–4 | 0.10 | 24% | 3 Jul → | |
| nuke | 11–13 | 0.12 | 16% | 3 Jul → | |
| nuke | 10–13 | -0.02 | 29% | 3 Jul → | |
| nuke | 7–13 | 0.04 | 30% | 3 Jul → | |
| nuke | 8–13 | 0.00 | 13% | 28 Jun → | |
| nuke | 13–4 | 0.04 | 27% | 26 Jun → | |
| nuke | 8–13 | 0.00 | 24% | 23 Jun → | |
| nuke | 13–10 | -0.03 | 30% | 21 Jun → | |
| nuke | 2–0 | 0.09 | 100% | 21 Jun → | |
| nuke | 13–3 | -0.02 | 13% | 20 Jun → | |
| nuke | 13–5 | -0.07 | 21% | 20 Jun → | |
| nuke | 13–11 | -0.01 | 12% | 17 Jun → | |
| nuke | 13–7 | -0.04 | 25% | 17 Jun → | |
| cache | 5–13 | -0.04 | 22% | 17 Jun → | |
| nuke | 13–11 | 0.05 | 11% | 11 Jun → | |
| nuke | 13–7 | 0.04 | 21% | 11 Jun → | |
| nuke | 13–10 | 0.06 | 21% | 30 May → | |
| cache | 13–11 | -0.01 | 22% | 30 May → | |
| cache | 6–13 | -0.09 | 24% | 24 May → | |
| cache | 11–13 | 0.00 | 13% | 24 May → | |
| cache | 13–4 | 0.07 | 25% | 10 May → | |
| cache | 13–10 | -0.00 | 14% | 10 May → | |
| cache | 13–8 | -0.01 | 20% | 10 May → | |
| cache | 13–7 | 0.05 | 14% | 9 May → | |
| cache | 12–12 | 0.02 | 15% | 9 May → | |
| cache | 11–13 | -0.05 | 18% | 9 May → | |
| cache | 6–13 | -0.00 | 14% | 9 May → | |
| cache | 13–8 | -0.01 | 16% | 8 May → |
Match data via Leetify.