Agamemnon-- — CS2 Stats
76561198295739416[U:1:335473688]✓ No bans
Rating over time
Faceit ELO
- At peak — 3,823
- Next: 4,000 ELO at 4,000 — 177 to go
- Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerEffective 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 jL 92% playstyle similarity
Most alike: opening-duel success, 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
Strengths
Flashes. 0.78 enemies blinded per flash — utility that consistently lands.
Utility. Utility score of 82 — grenade impact well above the norm.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 12.0° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 56% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
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 7.1/10 (Strong), 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 | 26 | 12–14 | 46% | -0.01 | |
| D | 23 | 7–16 | 30% | 0.00 | |
| A | 15 | 9–6 | 60% | 0.00 | |
| C | 12 | 5–7 | 42% | -0.02 | |
| B | 8 | 4–4 | 50% | 0.05 | |
| S | 8 | 7–1 | 88% | 0.00 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 4 | 1–3 | 25% | 0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (30% over 23). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 705 | 57% | 1.14 | 15.8 |
| Dust2 | 525 | 57% | 1.16 | 16.1 |
| Anubis | 468 | 56% | 1.21 | 16.5 |
| Mirage | 348 | 51% | 1.14 | 16.0 |
| Inferno | 252 | 59% | 1.19 | 16.6 |
| Nuke | 153 | 58% | 1.15 | 16.3 |
| Vertigo | 91 | 62% | 1.21 | 16.1 |
| Train | 77 | 62% | 1.28 | 15.7 |
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 33.2253% — 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.
30% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | -0.00 | 21% | 27 Aug → | ||
| 13–8 | 0.02 | 24% | 26 Aug → | ||
| 19–16 | 0.05 | 20% | 26 Aug → | ||
| 13–11 | -0.01 | 14% | 25 Aug → | ||
| 12–16 | 0.02 | 27% | 24 Aug → | ||
| 13–8 | 0.04 | 24% | 21 Aug → | ||
| 13–7 | 0.01 | 27% | 19 Aug → | ||
| 6–13 | 0.05 | 23% | 19 Aug → | ||
| 9–13 | -0.05 | 50% | 19 Aug → | ||
| 7–13 | -0.02 | 45% | 19 Aug → | ||
| 13–4 | 0.02 | 33% | 19 Aug → | ||
| 3–13 | -0.06 | 31% | 19 Aug → | ||
| 6–13 | 0.02 | 20% | 19 Aug → | ||
| 13–10 | 0.00 | 26% | 18 Aug → | ||
| 16–14 | 0.05 | 27% | 18 Aug → | ||
| 10–13 | 0.01 | 36% | 18 Aug → | ||
| 13–7 | 0.01 | 27% | 18 Aug → | ||
| 7–13 | -0.02 | 45% | 18 Aug → | ||
| 7–13 | -0.01 | 16% | 16 Aug → | ||
| 13–6 | -0.01 | 23% | 16 Aug → | ||
| 2–13 | -0.07 | 26% | 15 Aug → | ||
| 3–13 | -0.08 | 14% | 15 Aug → | ||
| 16–14 | 0.06 | 27% | 15 Aug → | ||
| 13–9 | -0.02 | 32% | 15 Aug → | ||
| 10–13 | 0.01 | 16% | 15 Aug → | ||
| 13–7 | 0.01 | 21% | 15 Aug → | ||
| 14–16 | -0.06 | 10% | 14 Aug → | ||
| 11–13 | -0.02 | 18% | 14 Aug → | ||
| 13–11 | 0.06 | 20% | 14 Aug → | ||
| 13–11 | -0.00 | 17% | 14 Aug → | ||
| 2–13 | -0.04 | 21% | 14 Aug → | ||
| 13–9 | -0.03 | 20% | 14 Aug → | ||
| 11–13 | 0.02 | 28% | 14 Aug → | ||
| 13–11 | 0.00 | 33% | 13 Aug → | ||
| 8–5 | 0.12 | 28% | 13 Aug → | ||
| 10–13 | 0.01 | 21% | 3 Aug → | ||
| 11–13 | -0.03 | 24% | 3 Aug → | ||
| 13–7 | 0.03 | 19% | 3 Aug → | ||
| 13–16 | 0.01 | 22% | 3 Aug → | ||
| 13–11 | -0.02 | 19% | 3 Aug → | ||
| 19–17 | 0.02 | 22% | 3 Aug → | ||
| 2–13 | -0.02 | 18% | 2 Aug → | ||
| 13–11 | -0.01 | 38% | 2 Aug → | ||
| 2–13 | -0.02 | 36% | 2 Aug → | ||
| 16–12 | 0.05 | 28% | 30 Jul → | ||
| 5–13 | -0.05 | 17% | 28 Jul → | ||
| 8–13 | -0.02 | 21% | 28 Jul → | ||
| 9–13 | 0.00 | 30% | 28 Jul → | ||
| 10–13 | 0.04 | 42% | 28 Jul → | ||
| 13–6 | -0.02 | 22% | 28 Jul → | ||
| 13–9 | 0.02 | 18% | 28 Jul → | ||
| 2–13 | -0.05 | 58% | 27 Jul → | ||
| 4–13 | -0.03 | 32% | 27 Jul → | ||
| 13–7 | 0.01 | 23% | 27 Jul → | ||
| 13–11 | 0.08 | 21% | 15 Jul → | ||
| 4–13 | -0.05 | 25% | 13 Jul → | ||
| 16–14 | -0.05 | 20% | 13 Jul → | ||
| 1–13 | -0.04 | 24% | 13 Jul → | ||
| 13–11 | -0.04 | 16% | 12 Jul → | ||
| 9–13 | 0.03 | 31% | 12 Jul → | ||
| 13–8 | -0.01 | 21% | 12 Jul → | ||
| 5–13 | -0.03 | 28% | 12 Jul → | ||
| 13–11 | 0.03 | 34% | 12 Jul → | ||
| 3–7 | -0.10 | 0% | 1 Jul → | ||
| 9–6 | 0.13 | 38% | 1 Jul → | ||
| 9–2 | 0.22 | 41% | 1 Jul → | ||
| 8–8 | 0.04 | 24% | 16 Jun → | ||
| 9–0 | 0.24 | 14% | 23 May → | ||
| 12–16 | 0.01 | 17% | 23 May → | ||
| 13–11 | 0.03 | 23% | 22 May → | ||
| 8–13 | -0.01 | 20% | 22 May → | ||
| 9–13 | -0.00 | 38% | 16 May → | ||
| 1–13 | -0.10 | 10% | 14 May → | ||
| 13–8 | -0.05 | 18% | 14 May → | ||
| 6–13 | 0.05 | 13% | 14 May → | ||
| 13–9 | 0.01 | 21% | 13 May → | ||
| 13–7 | 0.20 | 22% | 12 May → | ||
| 13–2 | -0.01 | 23% | 12 May → | ||
| 14–16 | 0.02 | 19% | 12 May → | ||
| 11–13 | -0.02 | 20% | 12 May → | ||
| 4–13 | -0.04 | 8% | 11 May → | ||
| 4–13 | -0.03 | 28% | 11 May → | ||
| 9–13 | -0.03 | 20% | 10 May → | ||
| 8–13 | 0.01 | 16% | 10 May → | ||
| 13–11 | -0.05 | 24% | 9 May → | ||
| 4–13 | -0.05 | 21% | 9 May → | ||
| 13–11 | 0.01 | 22% | 8 May → | ||
| 13–5 | 0.05 | 31% | 8 May → | ||
| 11–13 | 0.00 | 15% | 7 May → | ||
| 7–13 | -0.01 | 26% | 7 May → | ||
| 11–13 | 0.01 | 19% | 7 May → | ||
| 13–11 | -0.01 | 21% | 7 May → | ||
| 3–13 | -0.06 | 18% | 4 May → | ||
| 1–13 | -0.12 | 21% | 4 May → | ||
| 13–5 | -0.02 | 17% | 4 May → | ||
| 7–13 | -0.06 | 21% | 27 Apr → | ||
| 13–9 | 0.01 | 18% | 27 Apr → | ||
| 14–16 | -0.01 | 17% | 27 Apr → | ||
| 13–7 | 0.08 | 27% | 22 Apr → | ||
| 10–13 | 0.04 | 20% | 22 Apr → |
Match data via Leetify.