Jeff Bezos — CS2 Stats
76561198058460899[U:1:98195171]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -70pp win rate · -0.03 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
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 77% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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. 597ms 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 3.8/10 (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 |
|---|---|---|---|---|---|
| D | 24 | 8–16 | 33% | -0.00 | |
| D | 19 | 6–13 | 32% | -0.00 | |
| A | 16 | 9–7 | 56% | -0.02 | |
| D | 15 | 4–11 | 27% | 0.00 | |
| S | 11 | 8–3 | 73% | 0.01 | |
| C | 8 | 3–5 | 38% | 0.01 | |
| — | 3 | 3–0 | 100% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.06 | |
| boulder | — | 1 | 0–1 | 0% | -0.04 |
| — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 30 | 40% | 0.78 | 13.4 |
| Inferno | 30 | 50% | 0.81 | 12.3 |
| Anubis | 20 | 60% | 0.85 | 10.8 |
| Vertigo | 18 | 50% | 0.94 | 13.0 |
| Ancient | 16 | 50% | 0.82 | 12.7 |
| Nuke | 10 | 60% | 0.77 | 12.1 |
| Dust2 | 10 | 40% | 0.73 | 13.9 |
| Overpass | 4 | 25% | 0.71 | 9.8 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.0634° — above the 12° mark we flag
- 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 14.6735% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.04 | 11% | 16 Aug → | ||
| 9–13 | -0.06 | 13% | 16 Aug → | ||
| 13–4 | 0.10 | 36% | 12 Aug → | ||
| 6–13 | -0.06 | 11% | 12 Aug → | ||
| 13–9 | -0.07 | 9% | 12 Aug → | ||
| 7–13 | -0.01 | 14% | 5 Aug → | ||
| 7–13 | -0.06 | 12% | 5 Aug → | ||
| 9–13 | -0.00 | 19% | 1 Aug → | ||
| 9–13 | -0.04 | 20% | 1 Aug → | ||
| 15–15 | -0.04 | 16% | 30 Jul → | ||
| 13–10 | 0.04 | 12% | 30 Jul → | ||
| 13–3 | 0.02 | 4% | 29 Jul → | ||
| 5–13 | -0.04 | 19% | 29 Jul → | ||
| 16–14 | -0.01 | 17% | 27 Jul → | ||
| 13–6 | -0.08 | 18% | 24 Jul → | ||
| 13–2 | 0.08 | 14% | 24 Jul → | ||
| 13–4 | 0.04 | 19% | 24 Jul → | ||
| 13–10 | -0.05 | 10% | 23 Jul → | ||
| 13–10 | 0.02 | 19% | 23 Jul → | ||
| 13–6 | 0.03 | 9% | 23 Jul → | ||
| 6–13 | -0.03 | 15% | 21 Jul → | ||
| 7–13 | -0.04 | 5% | 21 Jul → | ||
| 6–13 | -0.03 | 25% | 21 Jul → | ||
| 4–13 | -0.01 | 16% | 17 Jul → | ||
| 4–13 | -0.06 | 18% | 17 Jul → | ||
| 7–13 | -0.04 | 8% | 17 Jul → | ||
| 11–13 | -0.05 | 16% | 17 Jul → | ||
| 13–2 | 0.08 | 13% | 15 Jul → | ||
| boulder | 11–13 | -0.04 | 11% | 11 Jul → | |
| 13–4 | 0.03 | 18% | 11 Jul → | ||
| 13–11 | 0.05 | 10% | 9 Jul → | ||
| 8–13 | 0.03 | 8% | 9 Jul → | ||
| 4–13 | -0.03 | 16% | 9 Jul → | ||
| 6–13 | -0.04 | 33% | 9 Jul → | ||
| 13–11 | 0.05 | 20% | 8 Jul → | ||
| 10–13 | 0.09 | 16% | 8 Jul → | ||
| 4–13 | -0.04 | 15% | 8 Jul → | ||
| 9–13 | -0.02 | 10% | 8 Jul → | ||
| 6–13 | -0.01 | 12% | 8 Jul → | ||
| 8–13 | -0.05 | 5% | 5 Jul → | ||
| 13–2 | 0.05 | 8% | 5 Jul → | ||
| 12–12 | -0.03 | 21% | 3 Jul → | ||
| 13–9 | -0.06 | 5% | 3 Jul → | ||
| 13–9 | 0.02 | 12% | 2 Jul → | ||
| 12–12 | 0.04 | 21% | 2 Jul → | ||
| 3–13 | -0.07 | 6% | 27 Jun → | ||
| 13–7 | -0.03 | 16% | 27 Jun → | ||
| 7–13 | 0.00 | 9% | 26 Jun → | ||
| 10–13 | -0.01 | 14% | 26 Jun → | ||
| 1–11 | -0.04 | 0% | 26 Jun → | ||
| 13–10 | 0.01 | 15% | 24 Jun → | ||
| 8–13 | 0.01 | 13% | 24 Jun → | ||
| 9–13 | 0.01 | 13% | 20 Jun → | ||
| 8–13 | 0.03 | 14% | 20 Jun → | ||
| 13–10 | 0.02 | 13% | 20 Jun → | ||
| 10–13 | 0.04 | 10% | 20 Jun → | ||
| 13–7 | -0.01 | 11% | 19 Jun → | ||
| 13–5 | 0.03 | 11% | 19 Jun → | ||
| 13–10 | 0.01 | 7% | 19 Jun → | ||
| 5–13 | -0.09 | 16% | 13 Jun → | ||
| 3–13 | -0.03 | 17% | 13 Jun → | ||
| 12–7 | -0.00 | 15% | 13 Jun → | ||
| 9–13 | -0.05 | 12% | 11 Jun → | ||
| 7–13 | -0.07 | 15% | 10 Jun → | ||
| 13–6 | 0.11 | 10% | 9 Jun → | ||
| 10–13 | -0.05 | 6% | 9 Jun → | ||
| 13–11 | -0.05 | 12% | 9 Jun → | ||
| 11–13 | 0.07 | 14% | 7 Jun → | ||
| 11–13 | 0.04 | 15% | 7 Jun → | ||
| 11–13 | -0.01 | 3% | 7 Jun → | ||
| 6–13 | 0.00 | 6% | 4 Jun → | ||
| 9–13 | -0.02 | 8% | 4 Jun → | ||
| 9–13 | 0.02 | 5% | 4 Jun → | ||
| 11–13 | 0.01 | 8% | 3 Jun → | ||
| 16–14 | 0.06 | 10% | 3 Jun → | ||
| 13–6 | 0.01 | 12% | 3 Jun → | ||
| 11–13 | -0.01 | 13% | 3 Jun → | ||
| 13–6 | 0.06 | 13% | 1 Jun → | ||
| 2–0 | -0.08 | 0% | 1 Jun → | ||
| 13–6 | 0.12 | 24% | 1 Jun → | ||
| 13–9 | 0.03 | 11% | 31 May → | ||
| 13–11 | 0.02 | 11% | 31 May → | ||
| 13–9 | -0.02 | 8% | 31 May → | ||
| 11–13 | 0.01 | 14% | 31 May → | ||
| 13–7 | 0.03 | 13% | 30 May → | ||
| 15–15 | -0.03 | 11% | 28 May → | ||
| 9–13 | 0.01 | 7% | 28 May → | ||
| 13–3 | 0.06 | 10% | 28 May → | ||
| 8–13 | -0.01 | 10% | 28 May → | ||
| 13–6 | 0.08 | 7% | 28 May → | ||
| 14–16 | -0.03 | 10% | 27 May → | ||
| 13–8 | 0.04 | 10% | 27 May → | ||
| 7–13 | -0.02 | 14% | 27 May → | ||
| 11–13 | 0.02 | 12% | 27 May → | ||
| 13–6 | 0.05 | 22% | 27 May → | ||
| 14–16 | -0.00 | 11% | 26 May → | ||
| 13–3 | 0.05 | 13% | 25 May → | ||
| 8–13 | -0.01 | 13% | 22 May → | ||
| 10–13 | -0.04 | 7% | 21 May → | ||
| 13–8 | -0.03 | 18% | 21 May → |
Match data via Leetify.