Pandafresh — CS2 Stats
76561198305396408[U:1:345130680]✓ No bans
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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.
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 92% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning 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
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
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 |
|---|---|---|---|---|---|
| A | 27 | 16–11 | 59% | 0.00 | |
| A | 16 | 9–7 | 56% | 0.04 | |
| D | 15 | 5–10 | 33% | 0.02 | |
| D | 12 | 3–9 | 25% | 0.01 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| C | 8 | 3–5 | 38% | -0.00 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| — | 4 | 2–2 | 50% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 412 | 51% | 1.18 | 18.5 |
| Nuke | 226 | 51% | 1.22 | 17.4 |
| Inferno | 222 | 49% | 1.12 | 17.8 |
| Ancient | 168 | 49% | 1.11 | 16.9 |
| Anubis | 131 | 53% | 1.24 | 18.4 |
| Dust2 | 78 | 38% | 1.08 | 17.3 |
| Overpass | 63 | 56% | 1.27 | 18.5 |
| Vertigo | 53 | 62% | 1.32 | 20.0 |
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.
- 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 37.5477% — 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | -0.01 | 31% | 26 Aug → | ||
| 4–13 | -0.08 | 25% | 20 Aug → | ||
| 13–9 | -0.04 | 32% | 20 Aug → | ||
| 13–16 | 0.05 | 28% | 20 Aug → | ||
| 13–11 | 0.07 | 37% | 20 Aug → | ||
| 13–9 | 0.02 | 17% | 20 Aug → | ||
| 10–13 | -0.06 | 27% | 9 Aug → | ||
| 13–6 | 0.01 | 29% | 9 Aug → | ||
| 17–19 | 0.01 | 22% | 7 Aug → | ||
| 4–13 | -0.01 | 15% | 6 Aug → | ||
| 13–11 | 0.00 | 30% | 5 Aug → | ||
| 13–9 | -0.05 | 6% | 2 Aug → | ||
| 9–2 | 0.21 | 28% | 30 Jul → | ||
| 15–19 | 0.02 | 30% | 24 Jul → | ||
| 13–11 | 0.04 | 27% | 24 Jul → | ||
| 13–9 | -0.03 | 21% | 24 Jul → | ||
| 6–13 | -0.05 | 13% | 23 Jul → | ||
| 1–13 | -0.08 | 18% | 23 Jul → | ||
| 10–13 | 0.02 | 38% | 23 Jul → | ||
| 11–13 | -0.03 | 30% | 23 Jul → | ||
| 13–11 | 0.05 | 23% | 23 Jul → | ||
| 17–19 | -0.06 | 20% | 23 Jul → | ||
| 13–10 | 0.03 | 25% | 20 Jul → | ||
| 19–17 | 0.01 | 29% | 18 Jul → | ||
| 16–12 | 0.01 | 28% | 15 Jul → | ||
| 13–10 | 0.02 | 26% | 12 Jul → | ||
| 7–13 | 0.01 | 30% | 9 Jul → | ||
| 13–6 | -0.04 | 21% | 9 Jul → | ||
| 13–11 | -0.04 | 21% | 9 Jul → | ||
| 13–1 | 0.11 | 37% | 9 Jul → | ||
| 5–13 | -0.08 | 28% | 8 Jul → | ||
| 4–13 | -0.03 | 28% | 3 Jul → | ||
| 13–3 | 0.12 | 31% | 3 Jul → | ||
| 16–13 | 0.01 | 20% | 2 Jul → | ||
| 11–13 | 0.01 | 20% | 2 Jul → | ||
| 16–12 | 0.04 | 19% | 30 Jun → | ||
| 13–3 | 0.12 | 24% | 28 Jun → | ||
| 2–13 | -0.00 | 24% | 28 Jun → | ||
| 17–19 | 0.01 | 20% | 28 Jun → | ||
| 9–13 | -0.02 | 18% | 27 Jun → | ||
| 13–10 | -0.01 | 24% | 20 Jun → | ||
| 16–14 | -0.01 | 24% | 19 Jun → | ||
| 7–13 | 0.02 | 29% | 18 Jun → | ||
| 13–4 | 0.05 | 35% | 17 Jun → | ||
| 9–13 | 0.05 | 18% | 16 Jun → | ||
| 9–13 | 0.03 | 34% | 11 Jun → | ||
| 8–13 | -0.01 | 32% | 11 Jun → | ||
| 11–13 | -0.03 | 28% | 7 Jun → | ||
| 8–13 | 0.01 | 33% | 3 Jun → | ||
| 6–13 | 0.03 | 36% | 3 Jun → | ||
| 4–0 | 0.09 | 21% | 3 Jun → | ||
| 3–13 | 0.04 | 23% | 3 Jun → | ||
| 13–5 | 0.01 | 19% | 1 Jun → | ||
| 13–11 | -0.05 | 15% | 1 Jun → | ||
| 6–13 | -0.01 | 24% | 31 May → | ||
| 16–19 | -0.04 | 27% | 31 May → | ||
| 13–11 | 0.01 | 25% | 29 May → | ||
| 3–13 | -0.01 | 32% | 29 May → | ||
| 5–13 | 0.08 | 20% | 23 May → | ||
| 16–14 | 0.03 | 27% | 21 May → | ||
| 13–9 | 0.03 | 25% | 21 May → | ||
| 8–13 | 0.04 | 28% | 18 May → | ||
| 9–13 | -0.02 | 18% | 18 May → | ||
| 6–13 | 0.01 | 22% | 17 May → | ||
| 13–7 | 0.07 | 30% | 17 May → | ||
| 10–13 | -0.01 | 21% | 17 May → | ||
| 13–6 | -0.01 | 18% | 10 May → | ||
| 8–13 | 0.04 | 28% | 7 May → | ||
| 16–13 | 0.09 | 23% | 4 May → | ||
| 13–9 | 0.10 | 18% | 3 May → | ||
| 13–6 | 0.17 | 34% | 29 Apr → | ||
| 13–7 | 0.05 | 31% | 24 Apr → | ||
| 9–13 | -0.03 | 29% | 24 Apr → | ||
| 5–13 | -0.10 | 25% | 24 Apr → | ||
| 13–9 | 0.19 | 31% | 16 Apr → | ||
| 13–7 | 0.02 | 28% | 12 Apr → | ||
| 11–13 | 0.01 | 29% | 7 Apr → | ||
| 15–15 | 0.06 | 34% | 30 Mar → | ||
| 7–13 | -0.01 | 23% | 28 Mar → | ||
| 7–13 | 0.03 | 37% | 26 Mar → | ||
| 13–10 | 0.05 | 33% | 24 Mar → | ||
| 8–13 | -0.00 | 52% | 22 Mar → | ||
| 13–7 | 0.02 | 18% | 22 Mar → | ||
| 13–8 | 0.03 | 26% | 22 Mar → | ||
| 11–13 | 0.04 | 30% | 22 Mar → | ||
| 8–13 | -0.03 | 32% | 22 Mar → | ||
| 4–13 | 0.06 | 33% | 22 Mar → | ||
| 9–13 | 0.02 | 28% | 21 Mar → | ||
| 7–13 | -0.07 | 22% | 21 Mar → | ||
| 9–13 | -0.04 | 16% | 21 Mar → | ||
| 13–7 | -0.00 | 42% | 20 Mar → | ||
| 13–11 | 0.00 | 22% | 18 Mar → | ||
| 15–15 | 0.04 | 33% | 14 Mar → | ||
| 13–10 | 0.02 | 28% | 14 Mar → | ||
| 5–13 | -0.00 | 31% | 12 Mar → | ||
| 13–16 | -0.02 | 30% | 11 Mar → | ||
| 13–10 | 0.03 | 42% | 9 Mar → | ||
| 13–5 | -0.01 | 23% | 9 Mar → | ||
| 9–13 | -0.00 | 16% | 8 Mar → | ||
| 9–13 | 0.02 | 43% | 8 Mar → |
Match data via Leetify.