Sweet Meat — CS2 Stats
FJ76561199122336092[U:1:1162070364]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 9 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 7 days observed since 1 Sep 2026. Come back after the next session and the change shows above.
Is this you? Sign in with Steam to claim it and connect match tracking →
Rating over time
Faceit ELO
- At peak — 696
- Next: Level 3 at 751 — 55 to go
- Reached: Level 2
- Level 2 first seen 2026-09-01
Premier CS Rating
- 1,257 below peak (16,074)
- Next: Purple band at 15,000 — 183 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-09-01
- Blue band first seen 2026-09-01
Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was 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.
Player DNA
Primary style: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).
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.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like ZywOo 85% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: lower opening-duel success; 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
Areas to improve
T-side openings. Opening success drops from 56% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 572ms 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 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 74 | 43% | 0.93 | 14.3 |
| Anubis | 42 | 43% | 0.95 | 15.1 |
| Mirage | 40 | 42% | 0.82 | 14.2 |
| Dust2 | 39 | 44% | 0.88 | 14.5 |
| Inferno | 38 | 61% | 1.11 | 17.1 |
| Nuke | 33 | 36% | 0.93 | 15.5 |
| Cache | 20 | 65% | 1.00 | 16.1 |
| Overpass | 8 | 50% | 0.78 | 10.3 |
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
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 38.2774% — below the 40% mark we flag