SENER1 — CS2 Stats
PROFree AgentKosovoRiflerSettings & gear profile →
XK76561198152378187[U:1:192112459]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 3,666
- Next: 4,000 ELO at 4,000 — 334 to go
- Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
- 3,500 ELO first seen 2026-08-28
- 3,000 ELO 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: +10pp win rate · +0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
High 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 Twistzz 93% playstyle similarity
Most alike: positioning profile, utility contribution.
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
Strengths
Utility. Utility score of 75 — 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 6.3/10 (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 |
|---|---|---|---|---|---|
| C | 26 | 10–16 | 38% | 0.01 | |
| S | 21 | 15–6 | 71% | -0.00 | |
| A | 16 | 10–6 | 63% | -0.01 | |
| B | 15 | 7–8 | 47% | -0.01 | |
| D | 9 | 3–6 | 33% | -0.00 | |
| C | 7 | 3–4 | 43% | -0.01 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 955 | 56% | 1.12 | 15.4 |
| Ancient | 797 | 60% | 1.19 | 16.6 |
| Dust2 | 442 | 57% | 1.16 | 15.6 |
| Anubis | 427 | 61% | 1.17 | 16.3 |
| Inferno | 140 | 60% | 1.22 | 15.8 |
| Vertigo | 39 | 51% | 1.06 | 15.5 |
| Overpass | 28 | 64% | 1.27 | 17.1 |
| Train | 23 | 65% | 1.02 | 13.6 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 37.9236% — 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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.08 | 23% | 11 Aug → | ||
| 11–13 | 0.05 | 25% | 9 Aug → | ||
| 13–7 | 0.01 | 22% | 4 Aug → | ||
| 13–6 | -0.01 | 13% | 30 Jul → | ||
| 7–13 | 0.00 | 20% | 29 Jul → | ||
| 8–13 | -0.05 | 17% | 15 May → | ||
| 13–4 | 0.05 | 20% | 15 May → | ||
| 4–13 | -0.01 | 23% | 15 May → | ||
| 13–5 | 0.02 | 14% | 14 May → | ||
| 9–13 | 0.00 | 25% | 14 May → | ||
| 6–13 | -0.06 | 27% | 14 May → | ||
| 9–13 | -0.02 | 22% | 2 May → | ||
| 2–13 | -0.07 | 27% | 2 May → | ||
| 13–11 | 0.02 | 25% | 2 May → | ||
| 16–12 | 0.01 | 19% | 1 May → | ||
| 13–9 | 0.03 | 23% | 1 May → | ||
| 9–13 | -0.00 | 17% | 1 May → | ||
| 7–13 | -0.01 | 21% | 30 Apr → | ||
| 7–13 | -0.03 | 23% | 30 Apr → | ||
| 16–14 | 0.02 | 19% | 29 Apr → | ||
| 13–5 | 0.05 | 25% | 29 Apr → | ||
| 13–5 | 0.04 | 15% | 26 Apr → | ||
| 6–13 | 0.05 | 19% | 26 Apr → | ||
| 10–13 | -0.01 | 13% | 26 Apr → | ||
| 7–13 | -0.03 | 20% | 24 Apr → | ||
| 13–6 | 0.05 | 9% | 23 Apr → | ||
| 13–3 | 0.06 | 26% | 23 Apr → | ||
| 8–13 | -0.01 | 18% | 19 Apr → | ||
| 5–13 | -0.03 | 19% | 19 Apr → | ||
| 8–13 | 0.01 | 16% | 17 Apr → | ||
| 3–13 | -0.09 | 29% | 17 Apr → | ||
| 11–13 | -0.03 | 24% | 15 Apr → | ||
| 4–13 | -0.04 | 19% | 15 Apr → | ||
| 13–2 | -0.01 | 25% | 12 Apr → | ||
| 13–11 | -0.05 | 21% | 12 Apr → | ||
| 13–7 | -0.05 | 16% | 10 Apr → | ||
| 11–13 | -0.06 | 16% | 10 Apr → | ||
| 22–18 | -0.04 | 23% | 10 Apr → | ||
| 13–16 | -0.02 | 13% | 9 Apr → | ||
| 13–3 | 0.01 | 18% | 9 Apr → | ||
| 13–7 | 0.03 | 31% | 9 Apr → | ||
| 9–13 | -0.05 | 14% | 6 Apr → | ||
| 13–9 | 0.03 | 25% | 5 Apr → | ||
| 13–6 | 0.03 | 14% | 5 Apr → | ||
| 3–13 | -0.07 | 17% | 4 Apr → | ||
| 13–7 | -0.05 | 23% | 4 Apr → | ||
| 13–6 | 0.04 | 7% | 4 Apr → | ||
| 10–13 | -0.00 | 26% | 3 Apr → | ||
| 4–13 | -0.03 | 26% | 3 Apr → | ||
| 13–8 | -0.07 | 19% | 1 Apr → | ||
| 8–13 | -0.07 | 23% | 31 Mar → | ||
| 8–13 | -0.01 | 15% | 31 Mar → | ||
| 13–6 | 0.05 | 28% | 30 Mar → | ||
| 10–13 | 0.02 | 17% | 30 Mar → | ||
| 13–5 | -0.03 | 21% | 30 Mar → | ||
| 13–6 | 0.06 | 18% | 27 Mar → | ||
| 13–9 | -0.02 | 17% | 27 Mar → | ||
| 13–3 | 0.06 | 22% | 26 Mar → | ||
| 13–2 | 0.03 | 19% | 26 Mar → | ||
| 14–16 | -0.01 | 19% | 25 Mar → | ||
| 9–13 | 0.04 | 13% | 25 Mar → | ||
| 13–11 | -0.01 | 16% | 25 Mar → | ||
| 13–9 | -0.00 | 19% | 25 Mar → | ||
| 13–11 | -0.02 | 18% | 25 Mar → | ||
| 5–13 | -0.01 | 20% | 25 Mar → | ||
| 13–4 | 0.02 | 29% | 23 Mar → | ||
| 3–13 | 0.05 | 33% | 23 Mar → | ||
| 5–13 | -0.05 | 23% | 23 Mar → | ||
| 13–8 | 0.09 | 35% | 22 Mar → | ||
| 8–13 | 0.01 | 30% | 22 Mar → | ||
| 7–13 | -0.08 | 17% | 22 Mar → | ||
| 10–13 | -0.02 | 19% | 21 Mar → | ||
| 13–3 | 0.06 | 19% | 21 Mar → | ||
| 8–13 | -0.02 | 17% | 21 Mar → | ||
| 9–13 | -0.02 | 21% | 21 Mar → | ||
| 13–4 | 0.04 | 24% | 21 Mar → | ||
| 13–6 | -0.06 | 15% | 20 Mar → | ||
| 13–2 | 0.02 | 15% | 20 Mar → | ||
| 16–12 | -0.05 | 12% | 20 Mar → | ||
| 13–11 | -0.02 | 33% | 20 Mar → | ||
| 13–2 | 0.08 | 22% | 18 Mar → | ||
| 13–5 | -0.01 | 18% | 18 Mar → | ||
| 19–22 | 0.06 | 18% | 17 Mar → | ||
| 5–13 | -0.00 | 26% | 17 Mar → | ||
| 13–7 | -0.02 | 22% | 16 Mar → | ||
| 13–5 | -0.01 | 17% | 16 Mar → | ||
| 13–0 | 0.11 | 17% | 16 Mar → | ||
| 16–13 | -0.00 | 19% | 15 Mar → | ||
| 13–7 | 0.06 | 29% | 13 Mar → | ||
| 13–5 | 0.11 | 25% | 13 Mar → | ||
| 13–7 | -0.01 | 7% | 12 Mar → | ||
| 8–13 | -0.00 | 24% | 9 Mar → | ||
| 10–13 | -0.02 | 19% | 9 Mar → | ||
| 2–13 | -0.07 | 25% | 7 Mar → | ||
| 13–4 | 0.01 | 12% | 7 Mar → | ||
| 7–13 | 0.03 | 29% | 26 Feb → | ||
| 6–13 | -0.10 | 3% | 26 Feb → | ||
| 9–13 | 0.01 | 22% | 26 Feb → | ||
| 5–13 | -0.07 | 31% | 26 Feb → | ||
| 13–7 | 0.04 | 25% | 25 Feb → |
Match data via Leetify.