earlruto (shadow clone jutsu!) — CS2 Stats
76561197987273907[U:1:27008179]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 sh1ro 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 63% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 604ms 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 6.8/10 (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 |
|---|---|---|---|---|---|
| A | 22 | 14–8 | 64% | 0.04 | |
| S | 19 | 15–4 | 79% | 0.03 | |
| A | 17 | 10–7 | 59% | 0.05 | |
| B | 14 | 7–7 | 50% | 0.03 | |
| A | 14 | 8–6 | 57% | 0.03 | |
| S | 6 | 4–2 | 67% | 0.04 | |
| — | 3 | 2–1 | 67% | 0.08 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| workshop/2960804231/de_ancient_mirror | — | 1 | 1–0 | 100% | 0.03 |
| workshop/2019478311/de_mirage_mirror | — | 1 | 1–0 | 100% | -0.02 |
| workshop/2019477248/de_nuke_mirror | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 34 | 62% | 1.34 | 19.8 |
| Dust2 | 34 | 47% | 1.44 | 20.2 |
| Anubis | 27 | 56% | 1.23 | 18.7 |
| Ancient | 22 | 64% | 1.37 | 18.6 |
| Train | 7 | 57% | 1.68 | 19.0 |
| Inferno | 6 | 33% | 1.03 | 15.2 |
| Overpass | 6 | 50% | 1.13 | 19.8 |
| Nuke | 5 | 60% | 1.16 | 17.0 |
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 35.2701% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.04 | 12% | 2 Jun → | ||
| 13–9 | 0.00 | 21% | 9 Feb → | ||
| 13–11 | 0.01 | 20% | 5 Feb → | ||
| 13–8 | 0.08 | 13% | 5 Feb → | ||
| 13–7 | 0.05 | 33% | 1 Feb → | ||
| 13–2 | 0.03 | 25% | 28 Dec → | ||
| 16–13 | 0.12 | 16% | 28 Dec → | ||
| 13–5 | 0.09 | 17% | 28 Dec → | ||
| 13–11 | 0.06 | 15% | 28 Dec → | ||
| 11–13 | 0.02 | 13% | 28 Dec → | ||
| 2–13 | -0.05 | 21% | 27 Dec → | ||
| 13–11 | 0.03 | 21% | 27 Dec → | ||
| 15–15 | 0.03 | 18% | 27 Dec → | ||
| 13–3 | 0.07 | 14% | 23 Dec → | ||
| 13–11 | 0.04 | 18% | 23 Dec → | ||
| 13–8 | 0.08 | 22% | 23 Dec → | ||
| 13–6 | 0.15 | 22% | 13 Nov → | ||
| 11–13 | 0.03 | 24% | 10 Aug → | ||
| 15–15 | 0.03 | 14% | 31 Jul → | ||
| 13–5 | 0.03 | 32% | 29 May → | ||
| 13–8 | -0.03 | 27% | 29 May → | ||
| 13–3 | 0.11 | 28% | 23 May → | ||
| 13–10 | 0.04 | 19% | 22 May → | ||
| 0–13 | -0.06 | 0% | 11 May → | ||
| 5–13 | 0.05 | 27% | 5 May → | ||
| 0–8 | -0.02 | 25% | 5 May → | ||
| 6–13 | 0.07 | 28% | 3 May → | ||
| 13–11 | 0.08 | 27% | 3 May → | ||
| 9–13 | 0.02 | 12% | 3 May → | ||
| 11–13 | 0.05 | 25% | 1 May → | ||
| 13–4 | 0.13 | 20% | 1 May → | ||
| 13–11 | 0.02 | 19% | 1 May → | ||
| 10–13 | -0.03 | 15% | 29 Apr → | ||
| 8–13 | 0.05 | 21% | 27 Apr → | ||
| 13–9 | -0.01 | 12% | 21 Apr → | ||
| 7–13 | -0.03 | 9% | 9 Apr → | ||
| 13–8 | 0.03 | 33% | 9 Apr → | ||
| 11–13 | 0.06 | 17% | 9 Apr → | ||
| 7–13 | -0.10 | 15% | 9 Apr → | ||
| 13–7 | 0.07 | 19% | 7 Apr → | ||
| 13–10 | 0.01 | 16% | 6 Apr → | ||
| 14–16 | 0.02 | 13% | 30 Mar → | ||
| 6–13 | -0.05 | 15% | 30 Mar → | ||
| 13–3 | 0.01 | 6% | 30 Mar → | ||
| 13–10 | 0.03 | 22% | 30 Mar → | ||
| 11–13 | 0.02 | 19% | 30 Mar → | ||
| 13–3 | 0.10 | 7% | 30 Mar → | ||
| 13–9 | -0.03 | 9% | 30 Mar → | ||
| 13–11 | 0.00 | 22% | 28 Mar → | ||
| 13–7 | 0.12 | 12% | 28 Mar → | ||
| 11–13 | -0.04 | 20% | 28 Mar → | ||
| 2–0 | 0.07 | 13% | 28 Mar → | ||
| 13–4 | 0.08 | 20% | 23 Mar → | ||
| 5–13 | -0.02 | 20% | 17 Mar → | ||
| 13–11 | 0.07 | 28% | 15 Mar → | ||
| 6–13 | 0.03 | 28% | 15 Mar → | ||
| 6–13 | -0.00 | 24% | 20 Feb → | ||
| 13–6 | 0.09 | 13% | 9 Feb → | ||
| 13–0 | 0.09 | 44% | 26 Jan → | ||
| 13–1 | 0.13 | 27% | 26 Jan → | ||
| 13–9 | -0.01 | 26% | 12 Jan → | ||
| 13–7 | 0.11 | 36% | 12 Jan → | ||
| 17–19 | -0.01 | 14% | 11 Jan → | ||
| 13–10 | 0.02 | 26% | 11 Jan → | ||
| 13–11 | 0.11 | 19% | 18 Nov → | ||
| 13–3 | 0.02 | 27% | 18 Nov → | ||
| 13–9 | 0.07 | 18% | 15 Nov → | ||
| 5–13 | -0.01 | 27% | 15 Nov → | ||
| 6–13 | -0.04 | 13% | 13 Apr → | ||
| 4–13 | 0.02 | 31% | 6 Mar → | ||
| 5–13 | -0.08 | 17% | 27 Jan → | ||
| 13–2 | 0.19 | 15% | 28 Sept → | ||
| 9–13 | 0.02 | 14% | 24 Sept → | ||
| 13–10 | 0.07 | 25% | 17 Sept → | ||
| 8–13 | -0.06 | 13% | 16 Sept → | ||
| 11–13 | 0.01 | 28% | 16 Sept → | ||
| 13–4 | 0.09 | 25% | 14 Sept → | ||
| 13–11 | 0.02 | 18% | 11 Sept → | ||
| 16–13 | 0.12 | 20% | 10 Sept → | ||
| 13–5 | 0.05 | 26% | 10 Sept → | ||
| 7–13 | 0.05 | 23% | 9 Sept → | ||
| 6–13 | 0.03 | 31% | 3 Sept → | ||
| 13–5 | 0.08 | 35% | 3 Sept → | ||
| 13–5 | 0.05 | 22% | 2 Sept → | ||
| 13–6 | 0.06 | 25% | 2 Sept → | ||
| 13–2 | 0.03 | 35% | 2 Sept → | ||
| 13–16 | 0.06 | 21% | 31 Aug → | ||
| 16–11 | 0.07 | 22% | 30 Aug → | ||
| 16–14 | 0.06 | 21% | 29 Aug → | ||
| 16–5 | 0.12 | 21% | 25 Aug → | ||
| 16–7 | 0.09 | 17% | 25 Aug → | ||
| 16–9 | 0.03 | 17% | 24 Aug → | ||
| 10–0 | 0.07 | 31% | 24 Aug → | ||
| 16–10 | 0.02 | 13% | 24 Aug → | ||
| 8–16 | -0.05 | 13% | 23 Aug → | ||
| 16–13 | 0.07 | 11% | 23 Aug → | ||
| workshop/2960804231/de_ancient_mirror | 16–11 | 0.03 | 13% | 19 Aug → | |
| workshop/2019478311/de_mirage_mirror | 16–12 | -0.02 | 16% | 19 Aug → | |
| workshop/2019477248/de_nuke_mirror | 16–6 | 0.07 | 17% | 19 Aug → | |
| 19–15 | 0.02 | 19% | 17 Aug → |
Match data via Leetify.