Ingyō — CS2 Stats
76561198335351216[U:1:375085488]✓ No bans
Rating over time
Faceit ELO
- At peak — 1,718
- Next: Level 9 at 1,751 — 33 to go
- Reached: Level 8 · Level 7 · Level 6 · Level 5
- Level 8 first seen 2026-08-28
- Level 7 first seen 2026-08-28
Premier CS Rating
- At peak — 22,931
- Next: Red band at 25,000 — 2,069 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-28
- Purple 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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerEffective flashes
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 96% playstyle similarity
Most alike: opening-fight frequency, 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
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
Areas to improve
Reaction time. 567ms 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 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 28 | 13–15 | 46% | 0.01 | |
| A | 21 | 13–8 | 62% | 0.02 | |
| C | 19 | 7–12 | 37% | 0.00 | |
| C | 18 | 7–11 | 39% | 0.00 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.14 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 39 | 69% | 1.13 | 13.7 |
| Mirage | 34 | 53% | 0.97 | 13.2 |
| Ancient | 33 | 61% | 1.06 | 13.4 |
| Dust2 | 18 | 39% | 0.86 | 13.8 |
| Vertigo | 11 | 64% | 0.79 | 11.8 |
| Inferno | 9 | 33% | 1.06 | 16.0 |
| Overpass | 3 | 33% | 1.35 | 9.3 |
| Nuke | 2 | 50% | 0.84 | 13.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.04 | 38% | 28 Aug → | ||
| 13–6 | 0.06 | 41% | 28 Aug → | ||
| 13–6 | 0.02 | 36% | 28 Aug → | ||
| 11–13 | 0.05 | 30% | 28 Aug → | ||
| 6–13 | 0.00 | 34% | 26 Aug → | ||
| 13–10 | -0.04 | 46% | 26 Aug → | ||
| 13–5 | -0.01 | 39% | 26 Aug → | ||
| 13–11 | 0.01 | 33% | 26 Aug → | ||
| 9–13 | 0.06 | 29% | 26 Aug → | ||
| 11–13 | 0.07 | 36% | 19 Aug → | ||
| 13–11 | 0.04 | 30% | 19 Aug → | ||
| 13–5 | 0.00 | 46% | 19 Aug → | ||
| 13–9 | -0.02 | 27% | 18 Aug → | ||
| 13–10 | 0.00 | 32% | 18 Aug → | ||
| 4–13 | -0.07 | 25% | 18 Aug → | ||
| 13–7 | 0.00 | 25% | 18 Aug → | ||
| 14–16 | -0.04 | 24% | 18 Aug → | ||
| 6–9 | 0.01 | 33% | 18 Aug → | ||
| 7–13 | -0.02 | 28% | 17 Aug → | ||
| 16–13 | 0.06 | 33% | 17 Aug → | ||
| 13–2 | 0.06 | 43% | 17 Aug → | ||
| 13–5 | 0.03 | 33% | 17 Aug → | ||
| 14–16 | 0.03 | 55% | 17 Aug → | ||
| 15–15 | 0.04 | 42% | 25 Jul → | ||
| 15–15 | 0.03 | 32% | 25 Jul → | ||
| 3–13 | -0.05 | 27% | 25 Jul → | ||
| 13–10 | 0.02 | 37% | 25 Jul → | ||
| 5–13 | -0.06 | 31% | 23 Jul → | ||
| 10–13 | -0.04 | 18% | 23 Jul → | ||
| 13–2 | 0.03 | 29% | 20 Jul → | ||
| 13–11 | 0.08 | 39% | 20 Jul → | ||
| 10–13 | 0.03 | 35% | 20 Jul → | ||
| 6–13 | 0.07 | 37% | 20 Jul → | ||
| 13–10 | 0.02 | 35% | 20 Jul → | ||
| 5–13 | 0.01 | 47% | 28 Jun → | ||
| 13–10 | 0.04 | 52% | 26 Jun → | ||
| 7–13 | -0.03 | 41% | 26 Jun → | ||
| 13–6 | 0.02 | 21% | 26 Jun → | ||
| 8–13 | 0.03 | 37% | 26 Jun → | ||
| 9–13 | -0.02 | 32% | 17 Jun → | ||
| 6–13 | -0.01 | 35% | 17 Jun → | ||
| 13–11 | 0.05 | 19% | 17 Jun → | ||
| 2–13 | -0.03 | 34% | 17 Jun → | ||
| 13–7 | -0.04 | 23% | 17 Jun → | ||
| 13–10 | -0.02 | 26% | 17 Jun → | ||
| 15–19 | 0.00 | 28% | 17 Jun → | ||
| 9–4 | 0.09 | 36% | 16 Jun → | ||
| 13–8 | 0.08 | 19% | 16 Jun → | ||
| 13–9 | -0.05 | 10% | 16 Jun → | ||
| 8–13 | 0.00 | 32% | 16 Jun → | ||
| 13–6 | 0.04 | 25% | 16 Jun → | ||
| 13–7 | 0.01 | 41% | 16 Jun → | ||
| 13–5 | 0.12 | 21% | 16 Jun → | ||
| 6–13 | -0.01 | 23% | 15 Jun → | ||
| 13–9 | 0.05 | 24% | 15 Jun → | ||
| 11–13 | -0.10 | 26% | 13 Jun → | ||
| 6–13 | -0.08 | 75% | 5 Jun → | ||
| 12–12 | -0.02 | 31% | 5 Jun → | ||
| 15–15 | 0.02 | 30% | 5 Jun → | ||
| 6–13 | 0.05 | 25% | 5 Jun → | ||
| 8–13 | 0.04 | 46% | 5 Jun → | ||
| 13–11 | 0.02 | 16% | 29 May → | ||
| 6–13 | 0.03 | 28% | 29 May → | ||
| 1–7 | 0.06 | 27% | 29 May → | ||
| 9–13 | 0.01 | 32% | 28 May → | ||
| 13–11 | -0.06 | 54% | 28 May → | ||
| 7–13 | -0.04 | 31% | 27 May → | ||
| 7–13 | -0.04 | 30% | 27 May → | ||
| 10–13 | 0.03 | 48% | 27 May → | ||
| 6–13 | 0.01 | 29% | 27 May → | ||
| 13–6 | -0.01 | 13% | 26 May → | ||
| 9–13 | -0.05 | 19% | 26 May → | ||
| 13–10 | 0.00 | 43% | 26 May → | ||
| 10–13 | -0.02 | 32% | 22 May → | ||
| 13–10 | -0.01 | 24% | 21 May → | ||
| 11–13 | 0.01 | 36% | 21 May → | ||
| 13–7 | -0.01 | 24% | 21 May → | ||
| 14–16 | -0.05 | 36% | 19 May → | ||
| 7–13 | 0.01 | 17% | 20 Apr → | ||
| 10–13 | -0.01 | 33% | 20 Apr → | ||
| 4–13 | -0.10 | 31% | 20 Apr → | ||
| 13–10 | 0.00 | 25% | 20 Apr → | ||
| 13–8 | -0.03 | 17% | 20 Apr → | ||
| 13–16 | 0.01 | 21% | 28 Jan → | ||
| 4–13 | 0.00 | 19% | 28 Jan → | ||
| 9–13 | 0.04 | 29% | 28 Jan → | ||
| 6–13 | -0.02 | 30% | 28 Jan → | ||
| 13–6 | 0.03 | 25% | 28 Jan → | ||
| 5–9 | -0.14 | 32% | 28 Jan → | ||
| 13–11 | 0.12 | 31% | 27 Jan → | ||
| 13–5 | 0.08 | 32% | 27 Jan → | ||
| 8–13 | 0.02 | 37% | 27 Jan → | ||
| 9–13 | -0.03 | 20% | 27 Jan → | ||
| 13–11 | 0.02 | 25% | 27 Jan → | ||
| 13–10 | -0.01 | 43% | 27 Jan → | ||
| 13–5 | -0.01 | 39% | 27 Jan → | ||
| 13–10 | 0.10 | 27% | 26 Jan → | ||
| 13–7 | 0.02 | 20% | 26 Jan → | ||
| 13–3 | 0.06 | 15% | 26 Jan → | ||
| 13–7 | 0.03 | 16% | 26 Jan → |
Match data via Leetify.
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