Ag3🤮🤪😇🤨🤑😬🥺 — CS2 Stats
76561198378226439[U:1:417960711]✓ No bans
Rating over time
Faceit ELO
- At peak — 3,033
- Next: 3,500 ELO at 3,500 — 467 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
Premier CS Rating
- At peak — 26,044
- Next: Gold band at 30,000 — 3,956 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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: +30pp win rate · -0.01 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Effective flashesHigh utility contribution
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 85% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: higher 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
Strengths
Utility. Utility score of 81 — grenade impact well above the norm.
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 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| B | 27 | 14–13 | 52% | 0.03 | |
| A | 20 | 12–8 | 60% | 0.03 | |
| A | 15 | 9–6 | 60% | 0.04 | |
| S | 14 | 10–4 | 71% | 0.03 | |
| D | 12 | 4–8 | 33% | 0.05 | |
| — | 3 | 2–1 | 67% | 0.07 | |
| — | 3 | 1–2 | 33% | -0.04 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| boulder | — | 1 | 0–1 | 0% | 0.15 |
| — | 1 | 1–0 | 100% | 0.03 | |
| office | — | 1 | 0–1 | 0% | -0.01 |
| — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 644 | 58% | 1.19 | 16.0 |
| Anubis | 328 | 55% | 1.15 | 15.1 |
| Nuke | 325 | 57% | 1.22 | 15.8 |
| Dust2 | 296 | 53% | 1.13 | 14.6 |
| Inferno | 235 | 54% | 1.21 | 15.9 |
| Overpass | 91 | 56% | 1.29 | 15.9 |
| Train | 41 | 54% | 1.08 | 15.9 |
| Mirage | 36 | 53% | 1.12 | 14.7 |
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 26.4439% — 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.
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 | |
|---|---|---|---|---|---|
| 3–13 | -0.00 | 19% | 26 Aug → | ||
| 13–7 | -0.03 | 15% | 25 Aug → | ||
| 13–5 | 0.01 | 28% | 25 Aug → | ||
| 2–13 | 0.05 | 30% | 25 Aug → | ||
| 13–11 | 0.08 | 28% | 24 Aug → | ||
| 13–4 | 0.03 | 32% | 23 Aug → | ||
| 9–13 | 0.02 | 29% | 21 Aug → | ||
| 13–5 | 0.02 | 21% | 21 Aug → | ||
| 13–1 | 0.02 | 42% | 16 Aug → | ||
| 13–16 | -0.02 | 22% | 16 Aug → | ||
| 10–13 | -0.03 | 24% | 14 Aug → | ||
| 8–13 | 0.05 | 24% | 14 Aug → | ||
| 11–13 | -0.07 | 17% | 13 Aug → | ||
| 6–13 | 0.04 | 40% | 13 Aug → | ||
| 13–7 | 0.04 | 33% | 13 Aug → | ||
| 7–13 | -0.02 | 37% | 13 Aug → | ||
| 13–11 | 0.05 | 18% | 13 Aug → | ||
| 13–16 | 0.01 | 30% | 11 Aug → | ||
| 4–9 | -0.07 | 42% | 10 Aug → | ||
| 9–3 | 0.25 | 59% | 10 Aug → | ||
| 9–6 | -0.01 | 42% | 10 Aug → | ||
| 10–13 | 0.03 | 27% | 10 Aug → | ||
| 13–4 | 0.03 | 30% | 10 Aug → | ||
| boulder | 5–9 | 0.15 | 65% | 6 Aug → | |
| 13–1 | 0.10 | 35% | 28 Jul → | ||
| 7–13 | -0.00 | 22% | 28 Jul → | ||
| 16–13 | 0.03 | 33% | 27 Jul → | ||
| 5–9 | 0.03 | 27% | 27 Jul → | ||
| 9–13 | 0.14 | 18% | 27 Jul → | ||
| 13–10 | 0.02 | 20% | 27 Jul → | ||
| 13–5 | 0.01 | 11% | 22 Jul → | ||
| 16–12 | -0.01 | 29% | 22 Jul → | ||
| 1–13 | -0.04 | 73% | 21 Jul → | ||
| 9–13 | -0.03 | 14% | 21 Jul → | ||
| 4–13 | -0.07 | 17% | 21 Jul → | ||
| 13–3 | 0.15 | 17% | 21 Jul → | ||
| 13–2 | 0.08 | 32% | 21 Jul → | ||
| 13–7 | -0.03 | 26% | 21 Jul → | ||
| 2–3 | 0.15 | 63% | 21 Jul → | ||
| 13–10 | 0.00 | 24% | 21 Jul → | ||
| 2–9 | -0.14 | 27% | 16 Jul → | ||
| 13–5 | 0.02 | 24% | 9 Jul → | ||
| 2–13 | 0.01 | 56% | 9 Jul → | ||
| 13–6 | 0.14 | 33% | 9 Jul → | ||
| 13–4 | 0.07 | 18% | 9 Jul → | ||
| 13–10 | 0.01 | 29% | 9 Jul → | ||
| 13–6 | 0.17 | 38% | 9 Jul → | ||
| 11–13 | 0.00 | 27% | 9 Jul → | ||
| 13–5 | 0.12 | 27% | 9 Jul → | ||
| 13–8 | 0.03 | 30% | 8 Jul → | ||
| 2–10 | -0.06 | 22% | 6 Jul → | ||
| 8–13 | 0.01 | 28% | 6 Jul → | ||
| 25–23 | 0.06 | 31% | 6 Jul → | ||
| 1–13 | -0.08 | 37% | 5 Jul → | ||
| 13–5 | 0.01 | 27% | 5 Jul → | ||
| 13–9 | 0.13 | 35% | 5 Jul → | ||
| 13–5 | 0.05 | 33% | 5 Jul → | ||
| 13–8 | -0.01 | 24% | 5 Jul → | ||
| 11–13 | -0.04 | 18% | 3 Jul → | ||
| 7–13 | -0.03 | 36% | 3 Jul → | ||
| 9–13 | 0.04 | 36% | 2 Jul → | ||
| 12–12 | 0.12 | 29% | 2 Jul → | ||
| 13–9 | 0.03 | 50% | 1 Jul → | ||
| 13–6 | -0.00 | 14% | 1 Jul → | ||
| 20–22 | 0.05 | 31% | 23 Jun → | ||
| 13–8 | 0.05 | 26% | 22 Jun → | ||
| 13–1 | 0.08 | 21% | 22 Jun → | ||
| 6–9 | -0.01 | 29% | 21 Jun → | ||
| 8–8 | 0.01 | 14% | 21 Jun → | ||
| 9–7 | 0.03 | 33% | 21 Jun → | ||
| 8–8 | -0.03 | 28% | 20 Jun → | ||
| 9–7 | -0.07 | 50% | 20 Jun → | ||
| 13–9 | 0.03 | 22% | 9 Jun → | ||
| 13–3 | 0.08 | 31% | 9 Jun → | ||
| 9–13 | -0.01 | 30% | 3 Jun → | ||
| office | 10–13 | -0.01 | 25% | 2 Jun → | |
| 16–14 | -0.04 | 39% | 2 Jun → | ||
| 13–9 | 0.15 | 27% | 2 Jun → | ||
| 9–1 | 0.35 | 67% | 2 Jun → | ||
| 9–2 | 0.19 | 30% | 1 Jun → | ||
| 13–4 | 0.01 | 40% | 23 May → | ||
| 13–8 | 0.00 | 27% | 9 May → | ||
| 9–5 | 0.10 | 11% | 9 May → | ||
| 9–3 | 0.24 | 42% | 9 May → | ||
| 6–9 | -0.03 | 31% | 8 May → | ||
| 11–13 | -0.02 | 16% | 29 Apr → | ||
| 11–13 | 0.10 | 39% | 27 Apr → | ||
| 13–4 | 0.04 | 40% | 27 Apr → | ||
| 4–13 | -0.01 | 28% | 26 Apr → | ||
| 13–16 | -0.05 | 24% | 26 Apr → | ||
| 1–9 | -0.12 | 18% | 26 Apr → | ||
| 13–4 | 0.11 | 32% | 25 Apr → | ||
| 2–13 | -0.05 | 36% | 25 Apr → | ||
| 5–9 | -0.04 | 29% | 23 Apr → | ||
| 13–4 | 0.06 | 29% | 22 Apr → | ||
| 13–5 | 0.08 | 35% | 22 Apr → | ||
| 9–5 | 0.11 | 8% | 21 Apr → | ||
| 14–16 | 0.03 | 25% | 20 Apr → | ||
| 9–5 | 0.11 | 28% | 20 Apr → | ||
| 5–9 | -0.07 | 45% | 20 Apr → |
Match data via Leetify.