bob — CS2 Stats
76561198128216407[U:1:167950679]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 49.6% | 51.9% |
| Shot accuracy | 15.3% | 13.7% |
| Kill/death ratio | 1.22 | 1.08 |
| Match win rate | 47.4% | 48.7% |
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: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 sh1ro 96% playstyle similarity
Most alike: utility contribution, 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
Strengths
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
Areas to improve
T-side openings. Opening success drops from 59% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 571ms 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 7.5/10 (Strong), 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 |
|---|---|---|---|---|---|
| office | B | 17 | 9–8 | 53% | 0.05 |
 cache | S | 14 | 10–4 | 71% | 0.04 |
 inferno | C | 12 | 5–7 | 42% | 0.04 |
 dust2 | A | 10 | 6–4 | 60% | 0.04 |
 mirage | C | 10 | 4–6 | 40% | 0.04 |
 anubis | A | 8 | 5–3 | 63% | 0.03 |
 vertigo | B | 6 | 3–3 | 50% | 0.09 |
 ancient | S | 6 | 5–1 | 83% | 0.08 |
 overpass | — | 4 | 2–2 | 50% | 0.03 |
| alpine | — | 4 | 0–4 | 0% | 0.04 |
 nuke | — | 4 | 1–3 | 25% | 0.02 |
 train | — | 4 | 2–2 | 50% | 0.09 |
| warden | — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Mirage 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 | 135 | 53% | 1.08 | 15.6 |
| Dust2 | 63 | 54% | 1.09 | 15.3 |
| Anubis | 53 | 62% | 1.14 | 16.0 |
| Ancient | 44 | 55% | 1.11 | 17.4 |
| Inferno | 35 | 54% | 1.05 | 15.5 |
| Nuke | 19 | 47% | 1.11 | 15.3 |
| Train | 15 | 73% | 1.12 | 12.7 |
| Overpass | 11 | 91% | 1.00 | 14.4 |
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 35.7952% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 9–13 | 0.01 | 16% | 1 Aug → | |
| cache | 13–8 | -0.03 | 41% | 27 Jul → | |
| cache | 13–10 | -0.00 | 31% | 25 Jul → | |
| dust2 | 13–6 | 0.07 | 36% | 18 Jun → | |
| cache | 13–10 | 0.13 | 40% | 18 Jun → | |
| office | 13–10 | -0.02 | 31% | 14 Jun → | |
| office | 5–13 | -0.05 | 11% | 14 Jun → | |
| cache | 8–13 | 0.06 | 25% | 14 Jun → | |
| office | 9–13 | 0.10 | 33% | 14 Jun → | |
| dust2 | 13–11 | 0.04 | 20% | 8 Jun → | |
| cache | 13–6 | 0.01 | 21% | 6 Jun → | |
| office | 12–12 | 0.06 | 22% | 6 Jun → | |
| vertigo | 13–8 | 0.02 | 24% | 6 Jun → | |
| inferno | 10–13 | -0.01 | 19% | 30 May → | |
| cache | 13–9 | 0.07 | 31% | 30 May → | |
| cache | 13–8 | -0.00 | 30% | 29 Apr → | |
| cache | 13–8 | 0.11 | 30% | 29 Apr → | |
| cache | 13–10 | 0.06 | 26% | 29 Apr → | |
| cache | 13–6 | 0.03 | 42% | 29 Apr → | |
| cache | 13–5 | 0.09 | 48% | 29 Apr → | |
| cache | 5–13 | 0.06 | 36% | 29 Apr → | |
| cache | 4–13 | -0.06 | 28% | 29 Apr → | |
| inferno | 10–13 | 0.02 | 21% | 28 Apr → | |
| ancient | 13–2 | 0.07 | 16% | 28 Apr → | |
| dust2 | 0–13 | -0.01 | 70% | 25 Apr → | |
| dust2 | 13–7 | -0.01 | 32% | 24 Apr → | |
| mirage | 5–13 | 0.07 | 26% | 23 Apr → | |
| mirage | 10–13 | 0.02 | 25% | 23 Apr → | |
| overpass | 13–9 | 0.02 | 15% | 22 Apr → | |
| ancient | 13–4 | 0.04 | 30% | 21 Apr → | |
| mirage | 13–9 | 0.06 | 17% | 21 Apr → | |
| mirage | 15–15 | 0.03 | 19% | 18 Apr → | |
| ancient | 16–13 | 0.05 | 17% | 18 Apr → | |
| mirage | 4–13 | -0.05 | 30% | 18 Apr → | |
| anubis | 13–4 | 0.03 | 25% | 14 Apr → | |
| inferno | 13–4 | 0.01 | 16% | 14 Apr → | |
| inferno | 14–16 | 0.07 | 32% | 17 Mar → | |
| overpass | 8–13 | 0.05 | 23% | 16 Mar → | |
| office | 10–13 | -0.05 | 20% | 16 Mar → | |
| mirage | 12–12 | 0.00 | 40% | 15 Mar → | |
| office | 13–3 | 0.13 | 19% | 15 Mar → | |
| overpass | 3–13 | -0.04 | 34% | 15 Mar → | |
| inferno | 14–16 | 0.04 | 25% | 14 Mar → | |
| anubis | 13–6 | 0.08 | 27% | 14 Mar → | |
| mirage | 13–3 | 0.12 | 25% | 13 Mar → | |
| dust2 | 13–10 | 0.07 | 27% | 13 Mar → | |
| office | 12–12 | 0.12 | 23% | 11 Mar → | |
| inferno | 13–3 | 0.15 | 21% | 11 Mar → | |
| alpine | 12–12 | -0.01 | 29% | 8 Mar → | |
| anubis | 13–7 | 0.02 | 32% | 8 Mar → | |
| ancient | 12–12 | 0.07 | 20% | 7 Mar → | |
| anubis | 13–10 | 0.03 | 36% | 7 Mar → | |
| mirage | 13–9 | 0.05 | 40% | 7 Mar → | |
| nuke | 4–13 | 0.03 | 29% | 7 Mar → | |
| anubis | 13–11 | 0.07 | 24% | 7 Mar → | |
| office | 13–6 | 0.15 | 34% | 7 Mar → | |
| dust2 | 9–13 | 0.08 | 29% | 7 Mar → | |
| vertigo | 10–13 | 0.06 | 22% | 5 Mar → | |
| inferno | 8–13 | 0.08 | 19% | 5 Mar → | |
| vertigo | 6–13 | 0.01 | 62% | 2 Mar → | |
| mirage | 0–4 | 0.02 | 75% | 2 Mar → | |
| warden | 13–9 | 0.06 | 36% | 2 Mar → | |
| anubis | 8–13 | 0.00 | 34% | 2 Mar → | |
| dust2 | 2–13 | -0.02 | 29% | 1 Mar → | |
| office | 13–7 | 0.14 | 35% | 1 Mar → | |
| inferno | 13–7 | 0.04 | 28% | 1 Mar → | |
| dust2 | 5–13 | 0.04 | 28% | 1 Mar → | |
| train | 7–13 | 0.04 | 54% | 1 Mar → | |
| ancient | 13–11 | 0.11 | 26% | 27 Feb → | |
| train | 13–5 | 0.15 | 42% | 27 Feb → | |
| office | 13–11 | 0.10 | 44% | 24 Feb → | |
| anubis | 10–13 | 0.04 | 32% | 23 Feb → | |
| inferno | 13–10 | 0.03 | 16% | 23 Feb → | |
| office | 13–10 | 0.09 | 24% | 21 Feb → | |
| nuke | 13–3 | 0.13 | 31% | 21 Feb → | |
| office | 13–3 | 0.03 | 40% | 20 Feb → | |
| anubis | 5–13 | -0.00 | 26% | 20 Feb → | |
| mirage | 13–11 | 0.05 | 24% | 20 Feb → | |
| alpine | 8–13 | 0.03 | 37% | 20 Feb → | |
| dust2 | 13–4 | 0.00 | 36% | 19 Feb → | |
| office | 3–13 | -0.07 | 33% | 19 Feb → | |
| office | 1–13 | -0.03 | 42% | 19 Feb → | |
| inferno | 13–11 | 0.06 | 40% | 16 Feb → | |
| train | 13–6 | 0.23 | 38% | 16 Feb → | |
| office | 13–10 | 0.17 | 30% | 16 Feb → | |
| vertigo | 13–1 | 0.17 | 50% | 15 Feb → | |
| overpass | 13–5 | 0.10 | 36% | 15 Feb → | |
| nuke | 10–13 | -0.06 | 22% | 15 Feb → | |
| inferno | 0–13 | -0.05 | 23% | 15 Feb → | |
| office | 8–8 | -0.04 | 29% | 15 Feb → | |
| nuke | 6–13 | -0.01 | 46% | 14 Feb → | |
| inferno | 11–13 | 0.04 | 30% | 14 Feb → | |
| dust2 | 13–6 | 0.09 | 44% | 14 Feb → | |
| office | 10–13 | 0.04 | 24% | 13 Feb → | |
| train | 7–13 | -0.07 | 33% | 13 Feb → | |
| vertigo | 13–10 | 0.10 | 28% | 12 Feb → | |
| vertigo | 9–13 | 0.18 | 36% | 12 Feb → | |
| alpine | 12–12 | 0.02 | 26% | 12 Feb → | |
| alpine | 12–12 | 0.10 | 26% | 12 Feb → | |
| ancient | 13–5 | 0.12 | 17% | 12 Feb → |
Match data via Leetify.