boba — CS2 Stats
76561198013746630[U:1:53480902]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 20,000
- Next: Red band at 25,000 — 5,000 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-28
- Purple 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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashes
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 b1t 90% 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
Strengths
Flashes. 0.83 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 622ms 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 6.4/10 (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 |
|---|---|---|---|---|---|
| B | 75 | 38–37 | 51% | 0.00 | |
| C | 10 | 4–6 | 40% | 0.01 | |
| B | 8 | 4–4 | 50% | -0.03 | |
| — | 3 | 1–2 | 33% | -0.00 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.04 | |
| — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 175 | 64% | 1.10 | 16.2 |
| Ancient | 160 | 44% | 0.99 | 14.5 |
| Anubis | 120 | 42% | 0.96 | 14.5 |
| Nuke | 36 | 42% | 0.97 | 15.6 |
| Inferno | 24 | 29% | 0.88 | 14.1 |
| Mirage | 14 | 50% | 0.95 | 14.1 |
| Vertigo | 4 | 25% | 0.75 | 11.5 |
| Overpass | 2 | 0% | 0.56 | 6.5 |
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.
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 | |
|---|---|---|---|---|---|
| 5–13 | 0.04 | 20% | 5 Aug → | ||
| 9–13 | -0.05 | 6% | 5 Aug → | ||
| 6–13 | -0.06 | 10% | 5 Aug → | ||
| 6–13 | -0.01 | 26% | 5 Aug → | ||
| 11–13 | 0.01 | 13% | 3 Aug → | ||
| 8–13 | -0.01 | 13% | 31 Jul → | ||
| 13–2 | 0.08 | 13% | 31 Jul → | ||
| 8–13 | -0.01 | 11% | 31 Jul → | ||
| 13–9 | -0.04 | 6% | 31 Jul → | ||
| 13–11 | -0.02 | 16% | 30 Jul → | ||
| 13–11 | 0.03 | 25% | 30 Jul → | ||
| 7–13 | -0.05 | 24% | 29 Jul → | ||
| 13–7 | 0.02 | 20% | 29 Jul → | ||
| 10–2 | -0.04 | 14% | 29 Jul → | ||
| 13–5 | -0.04 | 11% | 28 Jul → | ||
| 16–13 | 0.04 | 20% | 28 Jul → | ||
| 13–5 | 0.08 | 19% | 28 Jul → | ||
| 12–12 | -0.01 | 11% | 27 Jul → | ||
| 13–7 | 0.04 | 16% | 27 Jul → | ||
| 13–8 | 0.02 | 15% | 25 Jul → | ||
| 6–13 | -0.06 | 9% | 25 Jul → | ||
| 12–12 | -0.01 | 13% | 25 Jul → | ||
| 13–5 | -0.05 | 20% | 25 Jul → | ||
| 13–11 | -0.01 | 19% | 24 Jul → | ||
| 16–12 | -0.01 | 16% | 24 Jul → | ||
| 3–13 | -0.08 | 14% | 24 Jul → | ||
| 14–16 | 0.00 | 17% | 23 Jul → | ||
| 5–13 | 0.05 | 14% | 23 Jul → | ||
| 12–12 | -0.00 | 15% | 23 Jul → | ||
| 13–9 | 0.03 | 15% | 22 Jul → | ||
| 13–4 | 0.03 | 18% | 22 Jul → | ||
| 13–5 | -0.03 | 6% | 22 Jul → | ||
| 10–13 | -0.01 | 19% | 21 Jul → | ||
| 7–13 | 0.00 | 12% | 21 Jul → | ||
| 13–3 | 0.08 | 19% | 21 Jul → | ||
| 11–13 | -0.05 | 8% | 21 Jul → | ||
| 13–6 | 0.04 | 22% | 21 Jul → | ||
| 7–13 | -0.00 | 18% | 21 Jul → | ||
| 13–4 | -0.02 | 11% | 20 Jul → | ||
| 13–10 | 0.04 | 13% | 18 Jul → | ||
| 13–9 | -0.00 | 22% | 18 Jul → | ||
| 5–2 | -0.04 | 20% | 18 Jul → | ||
| 6–13 | -0.04 | 18% | 18 Jul → | ||
| 6–13 | 0.03 | 24% | 18 Jul → | ||
| 13–4 | 0.05 | 19% | 18 Jul → | ||
| 13–8 | 0.06 | 27% | 10 Jul → | ||
| 2–13 | -0.04 | 12% | 10 Jul → | ||
| 13–9 | 0.04 | 18% | 10 Jul → | ||
| 13–10 | 0.05 | 9% | 9 Jul → | ||
| 12–12 | -0.02 | 18% | 9 Jul → | ||
| 12–12 | 0.02 | 11% | 9 Jul → | ||
| 5–13 | -0.10 | 6% | 8 Jul → | ||
| 11–13 | -0.03 | 29% | 8 Jul → | ||
| 6–13 | 0.06 | 18% | 8 Jul → | ||
| 3–13 | -0.08 | 19% | 8 Jul → | ||
| 13–9 | 0.00 | 10% | 5 Jul → | ||
| 13–16 | -0.04 | 3% | 5 Jul → | ||
| 13–11 | -0.02 | 8% | 5 Jul → | ||
| 13–11 | 0.08 | 15% | 3 Jul → | ||
| 10–13 | -0.04 | 18% | 3 Jul → | ||
| 8–13 | 0.01 | 14% | 3 Jul → | ||
| 9–13 | -0.03 | 26% | 3 Jul → | ||
| 13–11 | -0.03 | 17% | 2 Jul → | ||
| 13–6 | 0.06 | 16% | 2 Jul → | ||
| 10–13 | 0.01 | 15% | 2 Jul → | ||
| 8–13 | -0.06 | 12% | 1 Jul → | ||
| 12–12 | -0.03 | 15% | 1 Jul → | ||
| 11–13 | -0.02 | 17% | 1 Jul → | ||
| 13–5 | -0.02 | 38% | 30 Jun → | ||
| 13–6 | 0.09 | 7% | 30 Jun → | ||
| 0–5 | 0.04 | 8% | 30 Jun → | ||
| 12–12 | -0.03 | 14% | 30 Jun → | ||
| 13–4 | -0.00 | 24% | 29 Jun → | ||
| 13–1 | 0.06 | 5% | 29 Jun → | ||
| 13–2 | 0.01 | 23% | 29 Jun → | ||
| 13–9 | 0.01 | 10% | 26 Jun → | ||
| 5–13 | 0.01 | 12% | 26 Jun → | ||
| 13–7 | 0.05 | 13% | 26 Jun → | ||
| 13–6 | -0.03 | 13% | 25 Jun → | ||
| 13–5 | 0.10 | 15% | 25 Jun → | ||
| 11–13 | 0.05 | 11% | 25 Jun → | ||
| 13–11 | 0.01 | 13% | 24 Jun → | ||
| 8–13 | 0.05 | 9% | 24 Jun → | ||
| 12–12 | -0.00 | 17% | 24 Jun → | ||
| 12–12 | -0.03 | 13% | 23 Jun → | ||
| 13–4 | -0.06 | 8% | 23 Jun → | ||
| 13–1 | 0.04 | 11% | 23 Jun → | ||
| 13–2 | 0.13 | 10% | 22 Jun → | ||
| 0–13 | -0.04 | 0% | 22 Jun → | ||
| 13–10 | 0.03 | 11% | 22 Jun → | ||
| 13–9 | 0.05 | 22% | 22 Jun → | ||
| 5–13 | -0.02 | 11% | 21 Jun → | ||
| 10–13 | -0.05 | 15% | 21 Jun → | ||
| 11–13 | -0.05 | 13% | 21 Jun → | ||
| 9–13 | -0.05 | 20% | 18 Jun → | ||
| 10–13 | -0.02 | 17% | 18 Jun → | ||
| 13–5 | -0.03 | 17% | 18 Jun → | ||
| 3–13 | -0.05 | 14% | 18 Jun → | ||
| 11–13 | 0.03 | 11% | 17 Jun → | ||
| 10–13 | 0.03 | 15% | 17 Jun → |
Match data via Leetify.