Caffèe. — CS2 Stats
CH76561197979459745[U:1:19194017]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 2,111
- Next: 2,500 ELO at 2,500 — 389 to go
- Reached: Level 10 · Level 9 · Level 8 · Level 7
- Level 10 first seen 2026-08-28
- Level 9 first seen 2026-08-28
Premier CS Rating
- At peak — 26,500
- Next: Gold band at 30,000 — 3,500 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink 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.
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 46.1% | 52.8% | 6.7% short |
| Shot accuracy | 17.8% | 13.7% | above |
| Kill/death ratio | 1.24 | 1.08 | above |
| Match win rate | 47.4% | 49.2% | 1.8% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 86 — the mechanical foundation is a clear strength.
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 7.8/10 (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 | 24 | 12–12 | 50% | 0.03 | |
| A | 23 | 14–9 | 61% | 0.04 | |
| B | 15 | 8–7 | 53% | 0.02 | |
| C | 11 | 4–7 | 36% | 0.02 | |
| C | 9 | 4–5 | 44% | 0.03 | |
| D | 9 | 2–7 | 22% | -0.01 | |
| S | 5 | 4–1 | 80% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 51 | 55% | 1.53 | 18.1 |
| Ancient | 48 | 46% | 1.29 | 18.4 |
| Mirage | 21 | 52% | 1.30 | 18.7 |
| Dust2 | 19 | 37% | 1.12 | 15.6 |
| Anubis | 19 | 53% | 1.30 | 18.3 |
| Nuke | 15 | 67% | 1.75 | 20.2 |
| Overpass | 10 | 70% | 1.54 | 22.7 |
| Vertigo | 4 | 75% | 1.33 | 18.3 |
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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.13 | 32% | 27 Aug → | ||
| 16–13 | 0.09 | 20% | 26 Aug → | ||
| 6–13 | -0.01 | 21% | 16 Aug → | ||
| 13–5 | 0.05 | 43% | 11 Aug → | ||
| 4–13 | -0.07 | 36% | 11 Aug → | ||
| 16–13 | 0.07 | 21% | 11 Aug → | ||
| 13–3 | 0.16 | 25% | 11 Aug → | ||
| 13–5 | 0.05 | 14% | 10 Aug → | ||
| 13–11 | 0.05 | 29% | 10 Aug → | ||
| 13–6 | 0.06 | 23% | 10 Aug → | ||
| 3–13 | -0.03 | 22% | 10 Aug → | ||
| 13–8 | 0.01 | 14% | 9 Aug → | ||
| 16–14 | 0.01 | 19% | 9 Aug → | ||
| 13–6 | -0.01 | 27% | 8 Aug → | ||
| 13–4 | 0.06 | 28% | 8 Aug → | ||
| 5–13 | -0.06 | 47% | 8 Aug → | ||
| 11–13 | 0.02 | 32% | 8 Aug → | ||
| 10–13 | -0.01 | 33% | 6 Aug → | ||
| 13–10 | 0.04 | 37% | 6 Aug → | ||
| 13–10 | 0.12 | 36% | 5 Aug → | ||
| 13–7 | 0.08 | 41% | 23 Jul → | ||
| 13–3 | 0.09 | 30% | 23 Jul → | ||
| 7–13 | -0.05 | 15% | 21 Jul → | ||
| 5–13 | -0.01 | 14% | 20 Jul → | ||
| 13–10 | 0.03 | 17% | 20 Jul → | ||
| 2–13 | -0.00 | 15% | 20 Jul → | ||
| 13–6 | 0.02 | 27% | 20 Jul → | ||
| 13–11 | 0.05 | 23% | 19 Jul → | ||
| 13–6 | 0.06 | 24% | 19 Jul → | ||
| 13–3 | -0.03 | 26% | 19 Jul → | ||
| 5–13 | -0.03 | 29% | 19 Jul → | ||
| 13–4 | 0.10 | 28% | 19 Jul → | ||
| 13–7 | 0.00 | 18% | 18 Jul → | ||
| 12–16 | 0.01 | 9% | 16 Jul → | ||
| 13–6 | 0.06 | 25% | 16 Jul → | ||
| 11–13 | -0.01 | 24% | 16 Jul → | ||
| 13–9 | 0.04 | 17% | 15 Jul → | ||
| 11–13 | -0.02 | 22% | 14 Jul → | ||
| 4–13 | -0.06 | 29% | 14 Jul → | ||
| 6–13 | -0.02 | 33% | 14 Jul → | ||
| 13–7 | 0.11 | 23% | 13 Jul → | ||
| 13–7 | 0.01 | 13% | 13 Jul → | ||
| 4–13 | -0.04 | 22% | 13 Jul → | ||
| 13–10 | 0.12 | 43% | 13 Jul → | ||
| 10–13 | -0.01 | 29% | 11 Jul → | ||
| 2–13 | 0.02 | 41% | 11 Jul → | ||
| 13–9 | -0.02 | 26% | 11 Jul → | ||
| 9–13 | 0.05 | 26% | 10 Jul → | ||
| 13–3 | 0.11 | 17% | 10 Jul → | ||
| 3–1 | 0.07 | 43% | 10 Jul → | ||
| 13–10 | 0.13 | 21% | 10 Jul → | ||
| 13–5 | 0.04 | 29% | 6 Jul → | ||
| 13–4 | 0.09 | 27% | 6 Jul → | ||
| 13–2 | 0.04 | 11% | 5 Jul → | ||
| 8–13 | -0.03 | 24% | 5 Jul → | ||
| 9–13 | -0.01 | 24% | 29 Jun → | ||
| 9–13 | 0.01 | 14% | 29 Jun → | ||
| 9–13 | -0.01 | 18% | 22 Jun → | ||
| 13–9 | 0.08 | 22% | 22 Jun → | ||
| 12–16 | -0.01 | 25% | 15 Jun → | ||
| 13–11 | -0.02 | 15% | 15 Jun → | ||
| 13–9 | 0.11 | 16% | 14 Jun → | ||
| 16–13 | -0.00 | 15% | 14 Jun → | ||
| 9–13 | 0.03 | 18% | 14 Jun → | ||
| 13–10 | 0.03 | 16% | 10 Jun → | ||
| 6–13 | 0.12 | 24% | 10 Jun → | ||
| 15–15 | 0.03 | 21% | 10 Jun → | ||
| 13–8 | 0.10 | 24% | 10 Jun → | ||
| 3–13 | -0.03 | 22% | 9 Jun → | ||
| 0–13 | -0.03 | 37% | 9 Jun → | ||
| 4–13 | 0.04 | 22% | 8 Jun → | ||
| 13–16 | 0.06 | 23% | 8 Jun → | ||
| 13–16 | 0.06 | 24% | 8 Jun → | ||
| 5–13 | 0.04 | 25% | 8 Jun → | ||
| 13–16 | -0.00 | 15% | 5 Jun → | ||
| 13–1 | 0.10 | 32% | 5 Jun → | ||
| 13–1 | 0.00 | 26% | 5 Jun → | ||
| 6–13 | -0.06 | 13% | 4 Jun → | ||
| 9–13 | 0.08 | 33% | 4 Jun → | ||
| 7–13 | -0.06 | 25% | 3 Jun → | ||
| 8–13 | 0.06 | 14% | 3 Jun → | ||
| 13–5 | -0.07 | 13% | 3 Jun → | ||
| 11–13 | -0.03 | 25% | 2 Jun → | ||
| 8–13 | -0.02 | 20% | 2 Jun → | ||
| 13–3 | 0.09 | 18% | 2 Jun → | ||
| 8–13 | -0.02 | 17% | 2 Jun → | ||
| 8–13 | -0.02 | 9% | 1 Jun → | ||
| 13–10 | 0.02 | 24% | 1 Jun → | ||
| 5–13 | 0.06 | 17% | 1 Jun → | ||
| 2–13 | -0.05 | 21% | 1 Jun → | ||
| 13–11 | 0.02 | 18% | 31 May → | ||
| 13–7 | 0.04 | 31% | 31 May → | ||
| 13–3 | -0.02 | 25% | 31 May → | ||
| 4–13 | 0.05 | 21% | 31 May → | ||
| 11–13 | 0.01 | 8% | 22 May → | ||
| 13–9 | 0.05 | 32% | 22 May → | ||
| 10–13 | 0.01 | 33% | 22 May → | ||
| 12–12 | 0.01 | 14% | 22 May → | ||
| 6–13 | -0.07 | 12% | 22 May → | ||
| 1–13 | -0.03 | 18% | 19 May → |
Match data via Leetify.