Banana Bread Poptart — CS2 Stats
US76561198068765288[U:1:108499560]Steam profile ↗✓ No bans
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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 86% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 632ms 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 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| C | 23 | 8–15 | 35% | 0.02 | |
| C | 16 | 7–9 | 44% | 0.01 | |
| B | 15 | 7–8 | 47% | 0.01 | |
| D | 12 | 4–8 | 33% | 0.01 | |
| B | 12 | 6–6 | 50% | 0.04 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| warden | — | 2 | 2–0 | 100% | 0.03 |
| — | 2 | 2–0 | 100% | 0.11 | |
| — | 2 | 2–0 | 100% | -0.00 | |
| — | 1 | 0–1 | 0% | -0.05 | |
| shelter | — | 1 | 1–0 | 100% | 0.14 |
| fachwerk | — | 1 | 1–0 | 100% | 0.09 |
| office | — | 1 | 0–1 | 0% | 0.03 |
| italy | — | 1 | 1–0 | 100% | 0.24 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 7 | 57% | 1.11 | 17.0 |
| Anubis | 3 | 67% | 1.27 | 21.7 |
| Ancient | 2 | 0% | 0.64 | 13.0 |
| Mirage | 2 | 50% | 1.04 | 13.0 |
| Nuke | 1 | 100% | 0.93 | 26.0 |
| Cache | 1 | 0% | 0.69 | 9.0 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4756 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.07 | 23% | 26 Jul → | ||
| 13–7 | 0.04 | 41% | 26 Jul → | ||
| 13–3 | 0.07 | 22% | 26 Jul → | ||
| 10–6 | 0.00 | 19% | 26 Jul → | ||
| 3–13 | -0.08 | 11% | 24 Jul → | ||
| 12–12 | 0.07 | 18% | 24 Jul → | ||
| 7–13 | 0.02 | 6% | 24 Jul → | ||
| 8–13 | -0.05 | 5% | 13 Jul → | ||
| 1–11 | -0.03 | 28% | 10 Jul → | ||
| shelter | 13–7 | 0.14 | 22% | 10 Jul → | |
| fachwerk | 13–4 | 0.09 | 23% | 10 Jul → | |
| 12–12 | -0.03 | 13% | 7 Jul → | ||
| 13–11 | 0.19 | 26% | 6 Jul → | ||
| 12–12 | 0.05 | 25% | 5 Jul → | ||
| 12–12 | -0.05 | 18% | 5 Jul → | ||
| 7–13 | 0.07 | 26% | 4 Jul → | ||
| 12–12 | 0.03 | 19% | 3 Jul → | ||
| 12–1 | 0.03 | 16% | 2 Jul → | ||
| office | 9–13 | 0.03 | 27% | 2 Jul → | |
| 7–13 | -0.02 | 24% | 1 Jul → | ||
| 13–9 | 0.06 | 23% | 1 Jul → | ||
| 4–13 | 0.06 | 19% | 1 Jul → | ||
| 12–12 | 0.16 | 29% | 1 Jul → | ||
| 6–13 | 0.04 | 21% | 30 Jun → | ||
| italy | 13–2 | 0.24 | 24% | 29 Jun → | |
| warden | 13–1 | 0.05 | 16% | 29 Jun → | |
| 13–8 | 0.10 | 21% | 29 Jun → | ||
| 8–13 | 0.00 | 31% | 28 Jun → | ||
| 5–13 | -0.00 | 19% | 27 Jun → | ||
| 9–13 | 0.02 | 18% | 27 Jun → | ||
| 4–13 | -0.06 | 27% | 27 Jun → | ||
| 3–13 | 0.01 | 19% | 27 Jun → | ||
| warden | 13–6 | 0.00 | 19% | 25 Jun → | |
| 6–13 | -0.03 | 37% | 24 Jun → | ||
| 12–12 | -0.02 | 13% | 24 Jun → | ||
| 11–13 | -0.00 | 13% | 23 Jun → | ||
| 6–13 | 0.07 | 23% | 22 Jun → | ||
| 10–13 | -0.02 | 32% | 21 Jun → | ||
| 13–5 | 0.12 | 30% | 16 Jun → | ||
| 13–3 | 0.04 | 25% | 11 Jun → | ||
| 13–7 | 0.06 | 29% | 10 Jun → | ||
| 11–13 | 0.03 | 19% | 30 May → | ||
| 13–7 | 0.05 | 27% | 16 May → | ||
| 3–13 | -0.02 | 24% | 16 May → | ||
| 13–7 | 0.08 | 26% | 15 May → | ||
| 13–4 | 0.14 | 31% | 15 May → | ||
| 13–11 | -0.02 | 26% | 10 May → | ||
| 13–4 | 0.02 | 21% | 6 May → | ||
| 6–13 | -0.05 | 30% | 5 May → | ||
| 13–9 | -0.06 | 20% | 2 May → | ||
| 12–12 | 0.02 | 23% | 1 May → | ||
| 6–13 | -0.00 | 26% | 1 May → | ||
| 13–10 | -0.02 | 20% | 1 May → | ||
| 3–13 | -0.00 | 27% | 1 May → | ||
| 11–13 | 0.00 | 12% | 30 Apr → | ||
| 3–13 | 0.08 | 24% | 30 Apr → | ||
| 9–13 | -0.05 | 13% | 29 Apr → | ||
| 13–10 | -0.00 | 15% | 29 Apr → | ||
| 13–6 | 0.02 | 27% | 28 Apr → | ||
| 13–6 | -0.02 | 16% | 26 Apr → | ||
| 13–5 | -0.00 | 15% | 26 Apr → | ||
| 13–6 | -0.00 | 9% | 26 Apr → | ||
| 4–13 | -0.09 | 24% | 26 Apr → | ||
| 13–11 | -0.03 | 15% | 25 Apr → | ||
| 8–13 | -0.04 | 24% | 21 Apr → | ||
| 13–11 | 0.09 | 19% | 19 Apr → | ||
| 5–13 | 0.05 | 12% | 19 Apr → | ||
| 13–7 | 0.10 | 26% | 16 Apr → | ||
| 13–7 | 0.06 | 11% | 12 Apr → | ||
| 8–13 | 0.07 | 24% | 10 Apr → | ||
| 12–12 | 0.02 | 10% | 10 Apr → | ||
| 13–4 | -0.03 | 21% | 9 Apr → | ||
| 12–12 | 0.07 | 16% | 9 Apr → | ||
| 12–12 | 0.07 | 22% | 5 Apr → | ||
| 13–7 | 0.02 | 25% | 5 Apr → | ||
| 0–13 | -0.00 | 24% | 5 Apr → | ||
| 7–13 | -0.01 | 23% | 5 Apr → | ||
| 13–2 | 0.11 | 18% | 3 Apr → | ||
| 13–10 | 0.01 | 21% | 2 Apr → | ||
| 13–3 | -0.02 | 8% | 2 Apr → | ||
| 9–13 | 0.08 | 15% | 1 Apr → | ||
| 12–12 | 0.05 | 18% | 1 Apr → | ||
| 13–5 | -0.00 | 9% | 29 Mar → | ||
| 22–20 | -0.03 | 20% | 28 Mar → | ||
| 13–9 | 0.03 | 30% | 27 Mar → | ||
| 13–11 | 0.05 | 26% | 27 Mar → | ||
| 6–13 | -0.08 | 36% | 25 Mar → | ||
| 9–13 | -0.04 | 31% | 24 Mar → | ||
| 9–13 | -0.05 | 23% | 23 Mar → | ||
| 4–13 | -0.06 | 16% | 21 Mar → | ||
| 13–7 | 0.07 | 9% | 21 Mar → | ||
| 13–7 | 0.08 | 9% | 21 Mar → | ||
| 2–13 | -0.05 | 15% | 21 Mar → | ||
| 13–1 | -0.11 | 33% | 19 Mar → | ||
| 13–11 | 0.06 | 24% | 19 Mar → | ||
| 4–13 | -0.06 | 0% | 28 Feb → | ||
| 4–12 | 0.04 | 20% | 28 Feb → | ||
| 13–10 | -0.01 | 22% | 27 Feb → | ||
| 7–13 | -0.02 | 19% | 27 Feb → | ||
| 13–2 | -0.03 | 29% | 19 Feb → |
Match data via Leetify.