irv — CS2 Stats
76561197960647086[U:1:381358]
Rating over time
Faceit ELO
- At peak — 1,526
- Next: Level 8 at 1,531 — 5 to go
- Reached: Level 7 · Level 6 · Level 5 · Level 4
- Level 7 first seen 2026-08-28
- Level 6 first seen 2026-08-28
Premier CS Rating
- 335 below peak (19,467)
- Next: Pink band at 20,000 — 868 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue 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: +0pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerLimited utility dependence
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 ropz 89% playstyle similarity
Most alike: utility contribution, aim profile.
Where you differ: lower opening-duel success.
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
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 590ms 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 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 20 | 9–11 | 45% | 0.00 | |
| C | 17 | 6–11 | 35% | -0.03 | |
| B | 16 | 8–8 | 50% | -0.02 | |
| D | 14 | 3–11 | 21% | 0.00 | |
| B | 13 | 7–6 | 54% | -0.01 | |
| S | 12 | 8–4 | 67% | -0.00 | |
| A | 8 | 5–3 | 63% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 218 | 47% | 0.89 | 13.5 |
| Anubis | 120 | 48% | 0.86 | 13.3 |
| Inferno | 90 | 50% | 1.04 | 14.8 |
| Dust2 | 57 | 51% | 0.88 | 13.2 |
| Ancient | 53 | 43% | 0.75 | 12.6 |
| Nuke | 46 | 52% | 0.99 | 14.6 |
| Train | 41 | 54% | 0.99 | 14.8 |
| Vertigo | 41 | 49% | 0.77 | 12.8 |
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 36.7071% — 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.
21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.04 | 17% | 28 Aug → | ||
| 13–4 | 0.04 | 21% | 28 Aug → | ||
| 13–10 | -0.07 | 29% | 27 Aug → | ||
| 5–13 | -0.08 | 33% | 27 Aug → | ||
| 15–15 | 0.02 | 28% | 27 Aug → | ||
| 9–13 | -0.01 | 28% | 26 Aug → | ||
| 15–15 | -0.04 | 11% | 26 Aug → | ||
| 13–2 | -0.00 | 20% | 26 Aug → | ||
| 11–13 | -0.04 | 8% | 26 Aug → | ||
| 13–8 | -0.04 | 18% | 26 Aug → | ||
| 10–13 | -0.03 | 30% | 24 Aug → | ||
| 8–0 | 0.09 | 26% | 24 Aug → | ||
| 13–5 | 0.06 | 23% | 24 Aug → | ||
| 9–13 | 0.00 | 13% | 24 Aug → | ||
| 13–7 | 0.03 | 23% | 24 Aug → | ||
| 10–13 | 0.02 | 64% | 23 Aug → | ||
| 9–13 | -0.09 | 11% | 23 Aug → | ||
| 7–13 | -0.05 | 18% | 23 Aug → | ||
| 16–13 | -0.03 | 27% | 23 Aug → | ||
| 9–13 | 0.06 | 31% | 23 Aug → | ||
| 13–10 | -0.04 | 19% | 23 Aug → | ||
| 13–8 | 0.08 | 28% | 23 Aug → | ||
| 8–13 | -0.06 | 24% | 22 Aug → | ||
| 13–7 | 0.01 | 26% | 22 Aug → | ||
| 12–16 | -0.03 | 28% | 22 Aug → | ||
| 16–12 | 0.03 | 28% | 22 Aug → | ||
| 10–13 | 0.03 | 34% | 22 Aug → | ||
| 13–5 | -0.06 | 23% | 22 Aug → | ||
| 13–9 | 0.07 | 23% | 22 Aug → | ||
| 13–6 | 0.10 | 38% | 19 Aug → | ||
| 15–15 | -0.08 | 35% | 18 Aug → | ||
| 9–13 | -0.03 | 17% | 18 Aug → | ||
| 11–13 | -0.04 | 31% | 17 Aug → | ||
| 9–13 | -0.03 | 34% | 17 Aug → | ||
| 13–10 | -0.00 | 17% | 17 Aug → | ||
| 16–13 | -0.01 | 19% | 17 Aug → | ||
| 9–13 | 0.03 | 28% | 17 Aug → | ||
| 11–13 | -0.02 | 6% | 16 Aug → | ||
| 6–13 | -0.12 | 17% | 16 Aug → | ||
| 8–13 | -0.03 | 19% | 16 Aug → | ||
| 11–13 | 0.08 | 42% | 16 Aug → | ||
| 13–5 | -0.01 | 26% | 15 Aug → | ||
| 13–10 | -0.03 | 33% | 15 Aug → | ||
| 10–13 | 0.04 | 29% | 15 Aug → | ||
| 10–13 | -0.06 | 18% | 15 Aug → | ||
| 13–16 | 0.01 | 42% | 15 Aug → | ||
| 7–13 | 0.10 | 22% | 15 Aug → | ||
| 16–12 | -0.01 | 11% | 15 Aug → | ||
| 13–7 | 0.01 | 32% | 14 Aug → | ||
| 13–2 | 0.03 | 25% | 14 Aug → | ||
| 7–13 | -0.02 | 25% | 14 Aug → | ||
| 16–14 | -0.02 | 26% | 14 Aug → | ||
| 14–16 | 0.02 | 29% | 14 Aug → | ||
| 9–1 | 0.07 | 27% | 10 Aug → | ||
| 11–13 | 0.01 | 31% | 10 Aug → | ||
| 11–13 | -0.02 | 21% | 7 Aug → | ||
| 13–16 | -0.02 | 12% | 7 Aug → | ||
| 7–13 | -0.04 | 41% | 7 Aug → | ||
| 13–8 | -0.06 | 48% | 7 Aug → | ||
| 4–13 | -0.03 | 15% | 6 Aug → | ||
| 4–13 | -0.04 | 4% | 6 Aug → | ||
| 2–9 | -0.11 | 0% | 6 Aug → | ||
| 16–14 | 0.00 | 22% | 5 Aug → | ||
| 10–13 | -0.02 | 30% | 5 Aug → | ||
| 5–1 | 0.09 | 22% | 5 Aug → | ||
| 4–13 | -0.08 | 29% | 3 Aug → | ||
| 13–11 | -0.05 | 20% | 2 Aug → | ||
| 13–8 | -0.05 | 18% | 1 Aug → | ||
| 13–7 | -0.08 | 18% | 31 Jul → | ||
| 13–4 | 0.04 | 21% | 31 Jul → | ||
| 0–8 | -0.09 | 40% | 31 Jul → | ||
| 11–13 | -0.02 | 27% | 31 Jul → | ||
| 2–13 | -0.01 | 38% | 31 Jul → | ||
| 8–13 | -0.04 | 19% | 31 Jul → | ||
| 13–9 | 0.03 | 25% | 31 Jul → | ||
| 13–2 | 0.03 | 26% | 31 Jul → | ||
| 5–13 | -0.01 | 16% | 31 Jul → | ||
| 13–3 | 0.12 | 21% | 31 Jul → | ||
| 6–0 | 0.24 | 19% | 30 Jul → | ||
| 6–3 | -0.01 | 19% | 30 Jul → | ||
| 13–9 | -0.08 | 24% | 29 Jul → | ||
| 13–11 | 0.01 | 36% | 29 Jul → | ||
| 3–13 | -0.06 | 8% | 27 Jul → | ||
| 13–7 | 0.06 | 20% | 26 Jul → | ||
| 1–13 | -0.09 | 46% | 26 Jul → | ||
| 14–16 | 0.05 | 16% | 26 Jul → | ||
| 6–13 | -0.03 | 30% | 26 Jul → | ||
| 13–3 | -0.09 | 5% | 26 Jul → | ||
| 13–7 | 0.00 | 17% | 26 Jul → | ||
| 15–15 | 0.03 | 29% | 25 Jul → | ||
| 8–13 | -0.05 | 17% | 25 Jul → | ||
| 9–13 | -0.06 | 26% | 25 Jul → | ||
| 3–11 | -0.04 | 26% | 25 Jul → | ||
| 13–6 | -0.03 | 18% | 25 Jul → | ||
| 5–13 | -0.06 | 14% | 25 Jul → | ||
| 6–13 | -0.07 | 25% | 25 Jul → | ||
| 16–14 | -0.05 | 30% | 25 Jul → | ||
| 13–11 | 0.06 | 27% | 22 Jul → | ||
| 13–4 | 0.07 | 40% | 21 Jul → | ||
| 13–8 | 0.03 | 20% | 17 Jul → |
Match data via Leetify.