bobob14831 — CS2 Stats
US76561198110600383[U:1:150334655]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 1,909
- Next: Level 10 at 2,001 — 92 to go
- Reached: Level 9 · Level 8 · Level 7 · Level 6
- Level 9 first seen 2026-08-28
- Level 8 first seen 2026-08-28
Premier CS Rating
- At peak — 26,011
- Next: Gold band at 30,000 — 3,989 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink 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 10 among CSDB-tracked players (n=218), 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 | 44.0% | 52.8% |
| Shot accuracy | 16.2% | 13.7% |
| Kill/death ratio | 1.11 | 1.08 |
| Match win rate | 48.0% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong 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 s1mple 94% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Strengths
CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 69% on CT to 48% on T — the same duels are being taken with worse setups on the attacking side.
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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| A | 29 | 16–13 | 55% | 0.02 | |
| C | 21 | 9–12 | 43% | 0.01 | |
| A | 18 | 11–7 | 61% | 0.02 | |
| C | 14 | 6–8 | 43% | -0.00 | |
| D | 8 | 2–6 | 25% | 0.02 | |
| A | 7 | 4–3 | 57% | 0.04 | |
| — | 2 | 2–0 | 100% | 0.06 | |
| — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 8). 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 41 | 56% | 1.18 | 19.2 |
| Mirage | 38 | 61% | 1.21 | 19.7 |
| Ancient | 24 | 71% | 1.06 | 18.6 |
| Inferno | 22 | 64% | 1.27 | 19.9 |
| Nuke | 19 | 74% | 1.15 | 19.0 |
| Overpass | 11 | 73% | 1.42 | 19.3 |
| Anubis | 7 | 71% | 1.37 | 17.4 |
| Train | 3 | 67% | 0.93 | 14.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.10 | 23% | 28 Aug → | ||
| 4–13 | 0.01 | 23% | 21 Aug → | ||
| 13–3 | 0.08 | 27% | 19 Aug → | ||
| 13–6 | 0.07 | 26% | 19 Aug → | ||
| 13–3 | 0.05 | 30% | 19 Aug → | ||
| 11–13 | 0.06 | 23% | 19 Aug → | ||
| 8–13 | -0.02 | 17% | 19 Aug → | ||
| 9–13 | 0.05 | 18% | 18 Aug → | ||
| 10–13 | -0.01 | 24% | 18 Aug → | ||
| 8–13 | 0.07 | 12% | 18 Aug → | ||
| 10–13 | 0.03 | 19% | 18 Aug → | ||
| 13–11 | -0.00 | 13% | 17 Aug → | ||
| 13–9 | 0.08 | 19% | 12 Aug → | ||
| 8–13 | 0.03 | 30% | 29 Jul → | ||
| 13–11 | 0.04 | 37% | 29 Jul → | ||
| 11–13 | -0.02 | 29% | 29 Jul → | ||
| 3–13 | 0.01 | 19% | 25 Jul → | ||
| 13–10 | 0.09 | 40% | 25 Jul → | ||
| 13–10 | 0.08 | 19% | 25 Jul → | ||
| 9–13 | -0.04 | 15% | 23 Jul → | ||
| 16–14 | 0.06 | 14% | 23 Jul → | ||
| 13–6 | -0.01 | 30% | 23 Jul → | ||
| 13–11 | 0.10 | 17% | 23 Jul → | ||
| 4–13 | 0.06 | 26% | 21 Jul → | ||
| 15–15 | 0.05 | 28% | 21 Jul → | ||
| 8–13 | 0.06 | 22% | 21 Jul → | ||
| 13–9 | 0.09 | 24% | 20 Jul → | ||
| 2–13 | 0.02 | 19% | 20 Jul → | ||
| 13–8 | -0.01 | 27% | 20 Jul → | ||
| 15–15 | 0.02 | 22% | 20 Jul → | ||
| 2–13 | -0.03 | 21% | 16 Jul → | ||
| 10–13 | 0.08 | 38% | 16 Jul → | ||
| 13–7 | 0.07 | 42% | 16 Jul → | ||
| 13–6 | 0.07 | 20% | 16 Jul → | ||
| 15–15 | -0.02 | 18% | 14 Jul → | ||
| 13–6 | -0.01 | 31% | 14 Jul → | ||
| 8–13 | 0.04 | 31% | 14 Jul → | ||
| 13–11 | 0.03 | 23% | 13 Jul → | ||
| 13–7 | 0.03 | 15% | 13 Jul → | ||
| 11–13 | -0.04 | 24% | 13 Jul → | ||
| 13–10 | 0.05 | 32% | 13 Jul → | ||
| 13–6 | 0.04 | 22% | 13 Jul → | ||
| 1–13 | -0.07 | 30% | 13 Jul → | ||
| 9–13 | -0.00 | 22% | 11 Jul → | ||
| 13–11 | 0.02 | 17% | 11 Jul → | ||
| 13–5 | -0.03 | 18% | 11 Jul → | ||
| 13–2 | 0.05 | 15% | 10 Jul → | ||
| 13–2 | 0.03 | 17% | 10 Jul → | ||
| 11–13 | 0.02 | 24% | 10 Jul → | ||
| 4–13 | -0.01 | 12% | 10 Jul → | ||
| 13–5 | -0.01 | 10% | 10 Jul → | ||
| 2–13 | -0.04 | 23% | 10 Jul → | ||
| 13–8 | 0.11 | 23% | 10 Jul → | ||
| 16–13 | 0.06 | 24% | 9 Jul → | ||
| 8–13 | -0.02 | 45% | 9 Jul → | ||
| 13–11 | 0.03 | 16% | 9 Jul → | ||
| 7–13 | 0.01 | 19% | 9 Jul → | ||
| 13–7 | 0.00 | 23% | 9 Jul → | ||
| 13–8 | 0.01 | 16% | 9 Jul → | ||
| 13–2 | -0.01 | 13% | 9 Jul → | ||
| 6–13 | -0.05 | 19% | 9 Jul → | ||
| 13–3 | 0.05 | 44% | 8 Jul → | ||
| 12–12 | 0.03 | 30% | 8 Jul → | ||
| 13–9 | 0.02 | 31% | 7 Jul → | ||
| 13–0 | 0.03 | 22% | 7 Jul → | ||
| 13–10 | -0.03 | 13% | 7 Jul → | ||
| 13–6 | 0.05 | 21% | 7 Jul → | ||
| 13–8 | 0.07 | 35% | 6 Jul → | ||
| 13–7 | 0.01 | 23% | 6 Jul → | ||
| 6–13 | -0.01 | 43% | 6 Jul → | ||
| 15–15 | -0.02 | 21% | 6 Jul → | ||
| 0–13 | -0.07 | 33% | 6 Jul → | ||
| 13–11 | -0.01 | 15% | 6 Jul → | ||
| 9–13 | -0.01 | 19% | 6 Jul → | ||
| 13–10 | -0.05 | 18% | 6 Jul → | ||
| 9–13 | -0.03 | 20% | 6 Jul → | ||
| 5–13 | 0.02 | 19% | 2 Jul → | ||
| 3–13 | -0.08 | 20% | 2 Jul → | ||
| 16–12 | 0.02 | 16% | 2 Jul → | ||
| 8–13 | 0.00 | 24% | 2 Jul → | ||
| 16–13 | 0.04 | 21% | 1 Jul → | ||
| 13–5 | 0.04 | 12% | 1 Jul → | ||
| 7–13 | -0.07 | 26% | 1 Jul → | ||
| 13–6 | -0.05 | 17% | 1 Jul → | ||
| 0–2 | -0.12 | 0% | 1 Jul → | ||
| 5–13 | 0.03 | 19% | 1 Jul → | ||
| 13–6 | -0.02 | 26% | 1 Jul → | ||
| 13–9 | 0.04 | 21% | 1 Jul → | ||
| 13–7 | -0.00 | 14% | 1 Jul → | ||
| 13–6 | 0.02 | 18% | 1 Jul → | ||
| 2–13 | 0.01 | 27% | 1 Jul → | ||
| 13–16 | 0.01 | 18% | 30 Jun → | ||
| 15–15 | 0.03 | 29% | 30 Jun → | ||
| 10–13 | 0.03 | 28% | 30 Jun → | ||
| 13–8 | -0.01 | 19% | 30 Jun → | ||
| 13–1 | 0.12 | 29% | 30 Jun → | ||
| 13–5 | 0.06 | 24% | 30 Jun → | ||
| 6–13 | -0.03 | 25% | 30 Jun → | ||
| 2–13 | -0.01 | 24% | 30 Jun → | ||
| 5–13 | -0.06 | 14% | 30 Jun → |
Match data via Leetify.
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