JAKEBGREAT — CS2 Stats
US76561198264066765[U:1:303801037]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 23,357
- Next: Red band at 25,000 — 1,643 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.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 ropz 92% playstyle similarity
Most alike: positioning profile, utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 55% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 576ms 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 | 17 | 8–9 | 47% | 0.04 | |
| C | 16 | 6–10 | 38% | 0.03 | |
| A | 14 | 9–5 | 64% | 0.00 | |
| B | 10 | 5–5 | 50% | 0.04 | |
| office | B | 10 | 5–5 | 50% | 0.04 |
| C | 7 | 3–4 | 43% | 0.02 | |
| D | 7 | 2–5 | 29% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| shelter | — | 2 | 2–0 | 100% | 0.05 |
| — | 2 | 1–1 | 50% | 0.05 | |
| boulder | — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis 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 |
|---|---|---|---|---|
| Mirage | 12 | 75% | 1.37 | 22.7 |
| Dust2 | 7 | 71% | 2.03 | 18.6 |
| Ancient | 5 | 80% | 1.95 | 22.0 |
| Inferno | 4 | 75% | 0.90 | 19.8 |
| Overpass | 3 | 67% | 1.44 | 17.3 |
| Nuke | 3 | 33% | 1.02 | 21.0 |
| Cache | 3 | 33% | 1.02 | 15.7 |
| Anubis | 2 | 50% | 1.16 | 13.5 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.01 | 22% | 26 Aug → | ||
| 11–13 | -0.01 | 10% | 26 Aug → | ||
| 1–13 | -0.08 | 28% | 25 Aug → | ||
| 13–10 | -0.00 | 23% | 21 Aug → | ||
| 13–8 | 0.03 | 20% | 20 Aug → | ||
| 8–13 | -0.00 | 21% | 20 Aug → | ||
| 13–8 | -0.02 | 18% | 20 Aug → | ||
| 10–13 | 0.03 | 15% | 20 Aug → | ||
| 13–7 | 0.05 | 24% | 20 Aug → | ||
| 13–11 | 0.12 | 33% | 20 Aug → | ||
| 13–2 | 0.05 | 34% | 20 Aug → | ||
| 5–13 | 0.00 | 21% | 17 Aug → | ||
| 10–13 | 0.03 | 20% | 17 Aug → | ||
| 4–13 | 0.02 | 36% | 16 Aug → | ||
| 8–13 | -0.03 | 11% | 16 Aug → | ||
| 16–14 | 0.07 | 22% | 15 Aug → | ||
| 13–6 | 0.03 | 13% | 15 Aug → | ||
| 13–5 | 0.14 | 23% | 13 Aug → | ||
| 13–11 | -0.02 | 21% | 11 Aug → | ||
| office | 5–13 | -0.03 | 8% | 10 Aug → | |
| 13–6 | 0.04 | 29% | 6 Aug → | ||
| 5–13 | 0.04 | 22% | 6 Aug → | ||
| 10–2 | 0.05 | 23% | 5 Aug → | ||
| 7–13 | 0.03 | 18% | 5 Aug → | ||
| 10–13 | 0.18 | 27% | 4 Aug → | ||
| 13–7 | 0.13 | 18% | 4 Aug → | ||
| office | 3–13 | 0.06 | 11% | 4 Aug → | |
| 11–13 | 0.16 | 20% | 4 Aug → | ||
| 13–9 | 0.00 | 28% | 4 Aug → | ||
| 2–13 | 0.01 | 21% | 4 Aug → | ||
| 9–13 | -0.07 | 9% | 3 Aug → | ||
| 6–13 | -0.06 | 12% | 2 Aug → | ||
| 13–7 | 0.07 | 18% | 2 Aug → | ||
| shelter | 13–4 | 0.07 | 32% | 1 Aug → | |
| 13–6 | 0.06 | 35% | 1 Aug → | ||
| office | 11–13 | 0.06 | 26% | 1 Aug → | |
| 11–13 | -0.00 | 20% | 1 Aug → | ||
| 13–6 | 0.11 | 21% | 1 Aug → | ||
| 2–13 | -0.03 | 19% | 1 Aug → | ||
| 13–2 | 0.05 | 27% | 1 Aug → | ||
| 13–11 | 0.05 | 24% | 31 Jul → | ||
| 13–11 | -0.00 | 28% | 30 Jul → | ||
| 10–13 | 0.01 | 28% | 30 Jul → | ||
| 13–6 | 0.01 | 29% | 28 Jul → | ||
| 13–11 | 0.01 | 22% | 23 Jul → | ||
| 13–9 | 0.04 | 33% | 23 Jul → | ||
| 6–13 | 0.01 | 23% | 22 Jul → | ||
| 10–13 | -0.04 | 22% | 22 Jul → | ||
| 10–13 | -0.06 | 28% | 21 Jul → | ||
| 8–13 | 0.00 | 29% | 21 Jul → | ||
| 5–13 | -0.04 | 18% | 21 Jul → | ||
| 16–14 | 0.03 | 23% | 20 Jul → | ||
| 7–13 | 0.04 | 24% | 18 Jul → | ||
| 8–13 | 0.01 | 25% | 17 Jul → | ||
| 3–13 | 0.07 | 27% | 17 Jul → | ||
| 10–13 | 0.01 | 11% | 17 Jul → | ||
| 13–9 | 0.04 | 30% | 16 Jul → | ||
| 10–13 | -0.03 | 19% | 15 Jul → | ||
| 13–9 | 0.08 | 32% | 15 Jul → | ||
| 12–12 | 0.02 | 16% | 15 Jul → | ||
| 12–12 | 0.04 | 19% | 15 Jul → | ||
| 13–1 | 0.06 | 43% | 15 Jul → | ||
| 4–13 | 0.03 | 35% | 15 Jul → | ||
| 13–5 | -0.01 | 30% | 14 Jul → | ||
| 11–13 | 0.05 | 24% | 14 Jul → | ||
| 11–13 | 0.12 | 41% | 14 Jul → | ||
| 13–11 | 0.06 | 26% | 14 Jul → | ||
| 14–16 | 0.02 | 34% | 13 Jul → | ||
| 13–9 | 0.07 | 27% | 12 Jul → | ||
| 16–13 | 0.08 | 34% | 12 Jul → | ||
| 15–15 | -0.06 | 30% | 12 Jul → | ||
| 11–13 | 0.12 | 26% | 11 Jul → | ||
| 13–9 | -0.03 | 33% | 11 Jul → | ||
| 12–12 | 0.02 | 36% | 11 Jul → | ||
| 13–9 | 0.02 | 34% | 11 Jul → | ||
| 13–9 | -0.05 | 17% | 10 Jul → | ||
| boulder | 12–12 | -0.00 | 18% | 10 Jul → | |
| shelter | 13–3 | 0.04 | 21% | 10 Jul → | |
| 13–9 | 0.04 | 30% | 10 Jul → | ||
| 13–4 | 0.01 | 13% | 9 Jul → | ||
| 13–5 | 0.04 | 19% | 9 Jul → | ||
| office | 13–3 | 0.10 | 19% | 9 Jul → | |
| 8–13 | 0.07 | 23% | 9 Jul → | ||
| 13–4 | 0.04 | 18% | 9 Jul → | ||
| 13–7 | 0.15 | 38% | 9 Jul → | ||
| office | 13–3 | 0.07 | 33% | 8 Jul → | |
| office | 8–13 | -0.05 | 30% | 8 Jul → | |
| office | 6–13 | 0.01 | 25% | 6 Jul → | |
| 13–2 | 0.03 | 6% | 5 Jul → | ||
| 6–13 | -0.07 | 14% | 5 Jul → | ||
| 12–12 | 0.05 | 35% | 5 Jul → | ||
| 4–13 | -0.01 | 9% | 5 Jul → | ||
| office | 13–4 | 0.01 | 26% | 3 Jul → | |
| office | 13–2 | 0.02 | 22% | 3 Jul → | |
| 7–13 | 0.03 | 28% | 3 Jul → | ||
| 13–2 | 0.12 | 16% | 3 Jul → | ||
| office | 13–2 | 0.13 | 11% | 3 Jul → | |
| 3–13 | -0.05 | 15% | 3 Jul → | ||
| 12–12 | 0.13 | 15% | 3 Jul → | ||
| 13–10 | -0.06 | 15% | 2 Jul → |
Match data via Leetify.