Toadfish — CS2 Stats
76561199135149706[U:1:1174883978]
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.02 avg rating
Player DNA
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 NiKo 69% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower opening-fight frequency; 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
T-side openings. Opening success drops from 30% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 21 | 9–12 | 43% | -0.03 | |
| C | 18 | 7–11 | 39% | -0.02 | |
| D | 17 | 5–12 | 29% | -0.02 | |
| D | 12 | 4–8 | 33% | -0.01 | |
| S | 8 | 6–2 | 75% | -0.01 | |
| C | 8 | 3–5 | 38% | -0.02 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| D | 5 | 0–5 | 0% | -0.04 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.8735% — below the 15% mark we flag
- 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 0.4444 — below the 0.5 mark we flag
- 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 13.3624% — 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.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–0 | 0.03 | 8% | 27 Aug → | ||
| 9–13 | -0.00 | 22% | 27 Aug → | ||
| 11–13 | -0.06 | 7% | 25 Aug → | ||
| 4–13 | 0.03 | 13% | 25 Aug → | ||
| 13–11 | 0.04 | 16% | 24 Aug → | ||
| 11–10 | 0.08 | 8% | 23 Aug → | ||
| 13–10 | -0.01 | 14% | 22 Aug → | ||
| 13–2 | 0.00 | 7% | 22 Aug → | ||
| 13–4 | -0.01 | 16% | 22 Aug → | ||
| 9–13 | -0.04 | 8% | 21 Aug → | ||
| 13–4 | -0.03 | 8% | 21 Aug → | ||
| 13–3 | -0.08 | 15% | 20 Aug → | ||
| 6–13 | -0.06 | 10% | 20 Aug → | ||
| 11–13 | -0.00 | 11% | 19 Aug → | ||
| 13–11 | -0.05 | 17% | 18 Aug → | ||
| 13–11 | -0.02 | 7% | 18 Aug → | ||
| 6–13 | 0.00 | 10% | 18 Aug → | ||
| 13–4 | 0.09 | 4% | 17 Aug → | ||
| 13–10 | 0.01 | 18% | 17 Aug → | ||
| 8–13 | -0.03 | 5% | 16 Aug → | ||
| 8–13 | -0.06 | 5% | 16 Aug → | ||
| 13–9 | -0.02 | 3% | 16 Aug → | ||
| 1–8 | -0.05 | 0% | 16 Aug → | ||
| 4–13 | -0.01 | 15% | 9 Aug → | ||
| 3–13 | -0.07 | 10% | 9 Aug → | ||
| 3–13 | -0.03 | 11% | 9 Aug → | ||
| 13–10 | -0.01 | 8% | 8 Aug → | ||
| 6–13 | -0.08 | 12% | 2 Aug → | ||
| 11–13 | 0.02 | 14% | 25 Jul → | ||
| 5–13 | 0.02 | 13% | 20 Jul → | ||
| 1–13 | -0.03 | 6% | 20 Jul → | ||
| 1–7 | -0.08 | 8% | 19 Jul → | ||
| 3–13 | -0.06 | 18% | 19 Jul → | ||
| 13–10 | -0.06 | 3% | 18 Jul → | ||
| 13–11 | 0.06 | 9% | 5 Jul → | ||
| 5–13 | -0.03 | 15% | 28 Jun → | ||
| 4–13 | -0.02 | 6% | 28 Jun → | ||
| 3–8 | -0.10 | 9% | 28 Jun → | ||
| 6–13 | -0.01 | 7% | 27 Jun → | ||
| 13–9 | -0.08 | 3% | 21 Jun → | ||
| 8–13 | -0.03 | 5% | 21 Jun → | ||
| 8–13 | -0.05 | 7% | 21 Jun → | ||
| 11–13 | -0.01 | 11% | 21 Jun → | ||
| 8–13 | 0.01 | 8% | 14 Jun → | ||
| 11–13 | 0.07 | 15% | 14 Jun → | ||
| 13–10 | -0.05 | 8% | 14 Jun → | ||
| 10–13 | -0.04 | 3% | 14 Jun → | ||
| 5–13 | -0.05 | 9% | 13 Jun → | ||
| 5–0 | 0.01 | 10% | 13 Jun → | ||
| 13–9 | -0.05 | 9% | 9 Jun → | ||
| 2–13 | -0.06 | 36% | 8 Jun → | ||
| 13–3 | 0.04 | 13% | 8 Jun → | ||
| 13–8 | -0.01 | 13% | 8 Jun → | ||
| 8–13 | -0.10 | 18% | 8 Jun → | ||
| 7–13 | -0.08 | 10% | 7 Jun → | ||
| 6–13 | 0.05 | 12% | 7 Jun → | ||
| 13–8 | 0.01 | 16% | 6 Jun → | ||
| 7–13 | -0.01 | 0% | 6 Jun → | ||
| 13–6 | 0.05 | 6% | 5 Jun → | ||
| 5–2 | 0.06 | 12% | 5 Jun → | ||
| 4–13 | 0.01 | 5% | 5 Jun → | ||
| 0–13 | -0.05 | 19% | 4 Jun → | ||
| 8–13 | -0.10 | 12% | 1 Jun → | ||
| 13–5 | -0.04 | 13% | 31 May → | ||
| 13–0 | 0.02 | 4% | 31 May → | ||
| 10–13 | 0.01 | 24% | 25 May → | ||
| 1–13 | -0.07 | 8% | 16 May → | ||
| 13–11 | -0.07 | 17% | 11 May → | ||
| 6–13 | -0.11 | 0% | 1 May → | ||
| 2–6 | 0.00 | 8% | 1 May → | ||
| 2–13 | -0.07 | 25% | 27 Apr → | ||
| 1–13 | 0.04 | 29% | 27 Apr → | ||
| 2–9 | -0.01 | 18% | 20 Apr → | ||
| 13–10 | 0.05 | 23% | 14 Apr → | ||
| 1–13 | -0.07 | 13% | 6 Apr → | ||
| 13–3 | 0.01 | 15% | 6 Apr → | ||
| 9–13 | -0.00 | 6% | 5 Apr → | ||
| 12–12 | -0.04 | 11% | 5 Apr → | ||
| 13–10 | -0.03 | 11% | 29 Mar → | ||
| 13–8 | 0.01 | 8% | 29 Mar → | ||
| 6–13 | -0.07 | 8% | 29 Mar → | ||
| 13–4 | 0.01 | 11% | 29 Mar → | ||
| 13–10 | -0.06 | 20% | 28 Mar → | ||
| 4–13 | -0.01 | 12% | 27 Mar → | ||
| 6–13 | -0.04 | 11% | 26 Mar → | ||
| 8–13 | -0.02 | 22% | 26 Mar → | ||
| 13–8 | -0.03 | 13% | 25 Mar → | ||
| 13–3 | 0.14 | 14% | 25 Mar → | ||
| 10–13 | 0.00 | 18% | 23 Mar → | ||
| 3–13 | -0.08 | 15% | 23 Mar → | ||
| 13–9 | -0.02 | 22% | 22 Mar → | ||
| 10–13 | -0.03 | 5% | 22 Mar → | ||
| 10–13 | 0.01 | 14% | 22 Mar → | ||
| 12–12 | -0.04 | 13% | 22 Mar → | ||
| 12–12 | -0.05 | 17% | 21 Mar → | ||
| 7–13 | -0.06 | 21% | 20 Mar → | ||
| 13–11 | -0.03 | 30% | 20 Mar → | ||
| 13–11 | -0.03 | 18% | 19 Mar → | ||
| 2–13 | -0.07 | 21% | 19 Mar → | ||
| 6–13 | 0.01 | 19% | 17 Mar → |
Match data via Leetify.