FTC AyeDolphDrippler — CS2 Stats
76561198749953997[U:1:789688269]Steam profile ↗
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: +0pp win rate · +0.03 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 b1t 85% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
T-side openings. Opening success drops from 57% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 551ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 67% 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 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| S | 22 | 15–7 | 68% | 0.03 | |
| A | 19 | 11–8 | 58% | 0.01 | |
| A | 18 | 10–8 | 56% | 0.00 | |
| C | 17 | 7–10 | 41% | 0.00 | |
| B | 11 | 5–6 | 45% | -0.02 | |
| D | 7 | 2–5 | 29% | -0.01 | |
| D | 6 | 2–4 | 33% | -0.06 |
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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 16 | 50% | 0.83 | 14.2 |
| Ancient | 7 | 29% | 0.79 | 13.9 |
| Dust2 | 5 | 20% | 0.43 | 7.2 |
| Inferno | 2 | 0% | 0.96 | 15.0 |
| Nuke | 2 | 0% | 0.92 | 16.0 |
| Anubis | 1 | 0% | 0.61 | 11.0 |
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.
- 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 10.8406% — 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 0.4546 — 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 31.3345% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.02 | 8% | 25 Aug → | ||
| 13–7 | 0.04 | 18% | 25 Aug → | ||
| 4–9 | 0.03 | 6% | 25 Aug → | ||
| 13–4 | -0.03 | 9% | 24 Aug → | ||
| 4–13 | -0.04 | 10% | 24 Aug → | ||
| 13–9 | 0.01 | 13% | 24 Aug → | ||
| 13–11 | 0.02 | 14% | 21 Aug → | ||
| 1–13 | -0.06 | 4% | 21 Aug → | ||
| 10–13 | 0.05 | 8% | 20 Aug → | ||
| 9–3 | 0.06 | 9% | 20 Aug → | ||
| 11–13 | -0.00 | 24% | 20 Aug → | ||
| 3–0 | 0.01 | 0% | 20 Aug → | ||
| 8–13 | -0.01 | 6% | 20 Aug → | ||
| 5–13 | -0.07 | 11% | 20 Aug → | ||
| 10–13 | -0.11 | 11% | 19 Aug → | ||
| 13–8 | -0.00 | 7% | 19 Aug → | ||
| 15–15 | -0.07 | 13% | 19 Aug → | ||
| 13–2 | 0.03 | 20% | 19 Aug → | ||
| 13–11 | 0.01 | 13% | 19 Aug → | ||
| 13–10 | 0.07 | 9% | 19 Aug → | ||
| 13–6 | 0.03 | 12% | 19 Aug → | ||
| 0–11 | -0.10 | 0% | 19 Aug → | ||
| 5–13 | 0.05 | 8% | 18 Aug → | ||
| 6–13 | 0.06 | 15% | 18 Aug → | ||
| 14–16 | -0.08 | 9% | 18 Aug → | ||
| 13–10 | 0.02 | 13% | 18 Aug → | ||
| 16–13 | -0.01 | 11% | 18 Aug → | ||
| 13–6 | 0.01 | 5% | 17 Aug → | ||
| 13–7 | 0.13 | 13% | 17 Aug → | ||
| 13–5 | 0.02 | 5% | 17 Aug → | ||
| 13–7 | -0.05 | 8% | 17 Aug → | ||
| 13–9 | 0.02 | 13% | 16 Aug → | ||
| 13–7 | 0.04 | 9% | 15 Aug → | ||
| 9–13 | -0.03 | 12% | 15 Aug → | ||
| 13–5 | 0.08 | 21% | 15 Aug → | ||
| 13–1 | 0.09 | 11% | 15 Aug → | ||
| 11–13 | -0.02 | 3% | 15 Aug → | ||
| 11–13 | -0.08 | 9% | 14 Aug → | ||
| 13–10 | -0.06 | 12% | 14 Aug → | ||
| 13–10 | 0.05 | 7% | 14 Aug → | ||
| 13–6 | 0.13 | 6% | 14 Aug → | ||
| 7–13 | -0.06 | 0% | 14 Aug → | ||
| 6–13 | 0.01 | 15% | 13 Aug → | ||
| 13–9 | -0.07 | 2% | 13 Aug → | ||
| 10–13 | 0.04 | 11% | 13 Aug → | ||
| 15–15 | 0.00 | 11% | 13 Aug → | ||
| 13–6 | 0.05 | 18% | 13 Aug → | ||
| 11–13 | 0.03 | 20% | 12 Aug → | ||
| 13–9 | 0.03 | 14% | 12 Aug → | ||
| 13–8 | -0.02 | 16% | 12 Aug → | ||
| 13–10 | 0.01 | 25% | 12 Aug → | ||
| 10–13 | 0.01 | 9% | 12 Aug → | ||
| 13–7 | 0.05 | 9% | 12 Aug → | ||
| 7–13 | -0.04 | 13% | 12 Aug → | ||
| 7–13 | 0.02 | 18% | 12 Aug → | ||
| 7–13 | -0.06 | 8% | 12 Aug → | ||
| 13–9 | 0.00 | 12% | 12 Aug → | ||
| 9–3 | 0.09 | 14% | 12 Aug → | ||
| 10–13 | -0.01 | 15% | 12 Aug → | ||
| 13–6 | 0.05 | 11% | 12 Aug → | ||
| 13–6 | 0.06 | 15% | 12 Aug → | ||
| 13–10 | 0.01 | 6% | 11 Aug → | ||
| 13–9 | -0.02 | 9% | 11 Aug → | ||
| 9–13 | 0.04 | 9% | 11 Aug → | ||
| 13–10 | -0.01 | 13% | 11 Aug → | ||
| 13–9 | 0.02 | 10% | 11 Aug → | ||
| 8–13 | -0.19 | 0% | 10 Aug → | ||
| 14–16 | -0.00 | 17% | 10 Aug → | ||
| 6–13 | -0.04 | 9% | 7 Aug → | ||
| 3–11 | -0.03 | 9% | 7 Aug → | ||
| 4–13 | -0.09 | 11% | 7 Aug → | ||
| 9–1 | 0.15 | 11% | 7 Aug → | ||
| 16–13 | 0.02 | 5% | 7 Aug → | ||
| 13–9 | 0.01 | 15% | 5 Aug → | ||
| 13–8 | 0.06 | 18% | 5 Aug → | ||
| 13–5 | 0.02 | 8% | 4 Aug → | ||
| 7–13 | 0.11 | 12% | 4 Aug → | ||
| 7–13 | -0.06 | 10% | 4 Aug → | ||
| 9–13 | -0.02 | 16% | 4 Aug → | ||
| 13–6 | -0.02 | 12% | 4 Aug → | ||
| 14–16 | 0.03 | 11% | 4 Aug → | ||
| 16–14 | 0.04 | 16% | 3 Aug → | ||
| 13–5 | -0.02 | 10% | 3 Aug → | ||
| 13–10 | 0.07 | 7% | 3 Aug → | ||
| 13–6 | 0.07 | 11% | 3 Aug → | ||
| 2–13 | 0.01 | 8% | 3 Aug → | ||
| 2–13 | 0.05 | 21% | 3 Aug → | ||
| 13–7 | -0.02 | 13% | 2 Aug → | ||
| 13–7 | 0.03 | 20% | 2 Aug → | ||
| 11–13 | -0.09 | 8% | 2 Aug → | ||
| 3–13 | -0.17 | 0% | 1 Aug → | ||
| 15–15 | -0.00 | 12% | 1 Aug → | ||
| 13–9 | -0.07 | 10% | 31 Jul → | ||
| 6–13 | -0.04 | 12% | 31 Jul → | ||
| 8–13 | 0.00 | 4% | 31 Jul → | ||
| 8–13 | -0.04 | 5% | 31 Jul → | ||
| 4–13 | -0.06 | 7% | 31 Jul → | ||
| 13–11 | 0.02 | 13% | 29 Jul → | ||
| 15–15 | 0.03 | 21% | 29 Jul → | ||
| 2–13 | -0.04 | 13% | 29 Jul → |
Match data via Leetify.