Ama1999 — CS2 Stats
76561198228714100[U:1:268448372]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafing
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 93% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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
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 6.6/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 28 | 18–10 | 64% | 0.04 | |
| A | 19 | 11–8 | 58% | 0.04 | |
| D | 18 | 4–14 | 22% | 0.02 | |
| S | 10 | 8–2 | 80% | 0.04 | |
| A | 7 | 4–3 | 57% | 0.04 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Nuke 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 54 | 39% | 1.64 | 21.8 |
| Inferno | 45 | 60% | 1.48 | 20.7 |
| Anubis | 44 | 52% | 1.62 | 20.7 |
| Dust2 | 42 | 52% | 1.60 | 23.4 |
| Nuke | 39 | 54% | 1.69 | 21.2 |
| Ancient | 34 | 44% | 1.52 | 21.6 |
| Vertigo | 19 | 53% | 1.89 | 22.2 |
| Train | 8 | 75% | 1.67 | 18.6 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.07 | 11% | 12 Aug → | ||
| 9–13 | -0.03 | 14% | 9 Aug → | ||
| 13–2 | 0.18 | 30% | 9 Aug → | ||
| 10–13 | 0.07 | 19% | 8 Aug → | ||
| 11–13 | 0.04 | 26% | 8 Aug → | ||
| 13–11 | 0.01 | 26% | 8 Aug → | ||
| 22–19 | -0.01 | 21% | 7 Jul → | ||
| 10–13 | 0.01 | 21% | 7 Jul → | ||
| 11–13 | -0.01 | 14% | 22 Jun → | ||
| 10–13 | 0.08 | 24% | 22 Jun → | ||
| 9–13 | 0.06 | 27% | 22 Jun → | ||
| 13–11 | 0.02 | 10% | 14 Jun → | ||
| 13–4 | 0.08 | 20% | 14 Jun → | ||
| 13–2 | 0.13 | 19% | 27 Apr → | ||
| 13–10 | 0.02 | 25% | 25 Apr → | ||
| 13–2 | 0.13 | 16% | 25 Apr → | ||
| 7–1 | 0.05 | 35% | 25 Apr → | ||
| 13–5 | 0.02 | 18% | 21 Apr → | ||
| 14–16 | 0.07 | 20% | 21 Apr → | ||
| 5–13 | 0.00 | 14% | 19 Apr → | ||
| 13–5 | -0.03 | 37% | 17 Apr → | ||
| 12–16 | -0.05 | 15% | 6 Apr → | ||
| 7–13 | 0.00 | 26% | 6 Apr → | ||
| 13–9 | 0.09 | 27% | 5 Apr → | ||
| 13–1 | 0.04 | 21% | 28 Mar → | ||
| 13–10 | 0.07 | 34% | 28 Mar → | ||
| 6–13 | -0.07 | 19% | 28 Mar → | ||
| 13–3 | 0.01 | 17% | 21 Mar → | ||
| 16–13 | 0.01 | 14% | 17 Mar → | ||
| 13–9 | 0.03 | 16% | 17 Mar → | ||
| 10–13 | 0.02 | 23% | 8 Mar → | ||
| 13–11 | 0.04 | 12% | 18 Feb → | ||
| 13–8 | 0.00 | 14% | 18 Feb → | ||
| 13–9 | 0.10 | 38% | 31 Jan → | ||
| 6–13 | 0.01 | 20% | 29 Jan → | ||
| 3–13 | -0.00 | 19% | 25 Jan → | ||
| 2–13 | -0.05 | 25% | 25 Jan → | ||
| 13–10 | -0.01 | 19% | 25 Jan → | ||
| 13–8 | 0.18 | 26% | 24 Jan → | ||
| 13–2 | 0.08 | 15% | 24 Jan → | ||
| 13–3 | 0.02 | 29% | 24 Jan → | ||
| 11–13 | 0.05 | 20% | 24 Jan → | ||
| 5–13 | -0.06 | 13% | 2 Jan → | ||
| 6–13 | -0.04 | 21% | 2 Jan → | ||
| 8–13 | 0.01 | 20% | 30 Dec → | ||
| 11–13 | 0.03 | 7% | 29 Dec → | ||
| 8–13 | 0.01 | 8% | 29 Dec → | ||
| 6–13 | -0.05 | 25% | 28 Dec → | ||
| 13–4 | 0.14 | 15% | 17 Dec → | ||
| 4–13 | -0.01 | 43% | 15 Dec → | ||
| 13–7 | 0.08 | 10% | 15 Dec → | ||
| 13–11 | -0.06 | 15% | 15 Dec → | ||
| 13–10 | 0.05 | 16% | 15 Dec → | ||
| 5–13 | -0.03 | 22% | 14 Dec → | ||
| 7–13 | 0.00 | 28% | 10 Dec → | ||
| 13–11 | -0.04 | 26% | 10 Dec → | ||
| 6–13 | 0.01 | 18% | 10 Dec → | ||
| 13–8 | 0.09 | 21% | 6 Dec → | ||
| 9–13 | -0.00 | 11% | 5 Dec → | ||
| 13–4 | 0.06 | 13% | 3 Dec → | ||
| 6–13 | 0.01 | 7% | 25 Nov → | ||
| 13–10 | 0.10 | 29% | 25 Nov → | ||
| 13–9 | 0.04 | 30% | 25 Nov → | ||
| 11–13 | 0.03 | 18% | 25 Nov → | ||
| 13–11 | 0.07 | 16% | 23 Nov → | ||
| 13–7 | 0.11 | 18% | 23 Nov → | ||
| 4–13 | 0.07 | 16% | 23 Nov → | ||
| 13–9 | 0.00 | 20% | 23 Nov → | ||
| 16–14 | 0.03 | 23% | 23 Nov → | ||
| 12–12 | 0.01 | 26% | 23 Nov → | ||
| 11–13 | 0.05 | 30% | 23 Nov → | ||
| 13–7 | 0.07 | 27% | 23 Nov → | ||
| 13–11 | 0.03 | 34% | 18 Nov → | ||
| 13–11 | 0.03 | 10% | 18 Nov → | ||
| 7–13 | 0.05 | 13% | 17 Nov → | ||
| 13–10 | 0.07 | 19% | 17 Nov → | ||
| 10–13 | -0.01 | 21% | 17 Nov → | ||
| 13–10 | -0.01 | 26% | 16 Nov → | ||
| 13–7 | 0.03 | 14% | 16 Nov → | ||
| 13–1 | 0.12 | 21% | 16 Nov → | ||
| 8–13 | -0.04 | 21% | 16 Nov → | ||
| 13–2 | -0.01 | 27% | 16 Nov → | ||
| 13–3 | 0.12 | 32% | 16 Nov → | ||
| 13–9 | 0.02 | 28% | 15 Nov → | ||
| 12–16 | 0.02 | 12% | 28 Oct → | ||
| 9–13 | 0.04 | 33% | 28 Oct → | ||
| 13–6 | 0.01 | 16% | 28 Oct → | ||
| 12–12 | -0.09 | 13% | 19 Oct → | ||
| 10–13 | 0.04 | 21% | 19 Oct → | ||
| 11–13 | -0.02 | 14% | 19 Oct → | ||
| 13–6 | -0.01 | 17% | 19 Oct → | ||
| 8–13 | 0.08 | 32% | 17 Oct → | ||
| 9–13 | 0.05 | 24% | 17 Oct → | ||
| 13–2 | 0.06 | 31% | 17 Oct → | ||
| 13–3 | 0.06 | 24% | 16 Oct → | ||
| 5–13 | 0.05 | 35% | 13 Oct → | ||
| 10–13 | 0.00 | 23% | 11 Oct → | ||
| 16–13 | 0.01 | 23% | 11 Oct → | ||
| 15–15 | 0.04 | 17% | 11 Oct → | ||
| 5–13 | 0.04 | 18% | 11 Oct → |
Match data via Leetify.