Trinkyy #'

Trinkyy #' — CS2 Stats

76561198069824544[U:1:109558816]Steam profile ↗✓ No bans

3,362Tracked matches53%Win rate2020Tracked since
CSDB Rating6.0 SolidAll-Rounder
Premier CS Rating26,822Top 5% of 194,975 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)
CSDB Leaderboard#6709 of 242881 tracked
FaceitLevel 9 · 1,862 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 19 days played since 25 Jun 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

Premier CS Rating: 26,822 +311 3 Jul – 22 Sept · 16 days played
22,50826,822peak 26,8223 Jul22 Sept
Faceit ELO: 1,862 +0 5 Sept – 13 Sept · 3 observations
1,8621,862peak 1,8625 Sept13 Sept
26,822Peak Premier in tracked matches
1,862Highest Faceit ELO seen on CSDB
19Days played since 2026-06-25

Faceit ELO

  • At peak — 1,862
  • Next: Level 10 at 2,001 — 139 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-05
  • Level 8 first seen 2026-09-05

Premier CS Rating

  • At peak — 26,822
  • +1,938 over 30 days · improving
  • +311 over 90 days
  • Next: Gold band at 30,000 — 3,178 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-05
  • Purple band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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

CSDB.GGTrinkyy #'FACEITLevel 9 · 1,862 ELOSTANDINGTop 20.7% of rankedPREMIER26,822 · Red bandPEAK ELO1,862csdb.gg/stats

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Performance scores

Aim78
Positioning47
Utility47

0–100 skill scores via Leetify.

Recent form

HOT52–46–2Last 10052%Win rateLWWLWWLWWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +3.3pp headshot accuracy · −107ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 555ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 512ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 565ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.8
Utility4.7
Positioning4.7
Opening Duels2.4
Clutch4.0

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

device

Plays most like device 95% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Positioning. Positioning trails aim by 31 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. 564ms 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

Aim7.8
Positioning4.7
Utility4.7
Mechanics5.8
Opening Duels2.8
Win Impact6.1

Composite 6.0/10 (Solid), 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

Match rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time580ms−5ms
first ⅓ avg 586ms → last ⅓ avg 580ms
Headshot accuracy24.3%+4.0%
first ⅓ avg 20.3% → last ⅓ avg 24.3%

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.

Personal bests

0.13Best match rating · 9–3 · inferno, 23 Aug →
100%Best headshot accuracy · 13–0 · nuke, 25 Jul →
313msFastest reaction time · 10–4 · inferno, 22 Sept →
13–0Biggest win · nuke, 25 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 100% over 7cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA2516–964%-0.02
dust2C2410–1442%-0.01
anubisB158–753%-0.01
ancientB105–550%-0.01
cacheD93–633%0.00
nukeS77–0100%0.01
mirageA53–260%-0.03
vertigo—20–20%0.01
overpass—10–10%-0.03
office—10–10%-0.06
debris—10–10%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

1,725Matches
51%Win rate
0.97Avg K/D
82.3ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno13651%1.0716.8
Anubis10652%1.0116.2
Nuke9760%1.0716.7
Dust29054%1.0015.9
Ancient8351%1.0216.6
Vertigo5544%1.0215.6
Mirage5238%0.8815.0
Overpass2365%1.1816.6

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.

22.8%Headshot accuracy
35.9%Accuracy (enemy spotted)
36.6%Spray accuracy
76.2%Counter-strafing
9.0°Preaim
564msReaction time
39.2%T opening success
43.3%CT opening success
0.36Enemies flashed / flash
6.0%Flash assists
9.97HE damage / grenade
6.91Flashes / match

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.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3593 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 39.1555% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust214–16-0.0421%22 Sept →
inferno13–70.0126%22 Sept →
ancient13–11-0.0227%22 Sept →
ancient0–13-0.0431%22 Sept →
nuke13–7-0.0320%22 Sept →
anubis13–70.0222%22 Sept →
inferno9–130.0531%22 Sept →
inferno10–4-0.0729%22 Sept →
inferno13–70.0120%22 Sept →
anubis13–4-0.0238%22 Sept →
inferno16–14-0.0321%22 Sept →
ancient13–3-0.0129%18 Sept →
dust210–13-0.0126%18 Sept →
dust211–130.0117%27 Aug →
cache4–13-0.0433%27 Aug →
nuke13–8-0.0017%27 Aug →
dust26–13-0.0513%27 Aug →
inferno13–100.0320%27 Aug →
anubis6–13-0.0226%27 Aug →
dust213–60.0129%27 Aug →
dust29–130.0619%27 Aug →
inferno0–9-0.2345%23 Aug →
overpass8–8-0.0327%23 Aug →
inferno3–9-0.1120%23 Aug →
inferno9–30.1332%23 Aug →
inferno3–9-0.1917%23 Aug →
anubis6–130.1228%12 Aug →
dust213–30.0428%12 Aug →
ancient9–130.0329%12 Aug →
anubis1–3-0.0325%11 Aug →
anubis0–13-0.050%11 Aug →
cache16–130.0717%11 Aug →
nuke13–7-0.0118%11 Aug →
anubis9–130.0321%11 Aug →
ancient13–50.0313%11 Aug →
anubis7–13-0.0617%11 Aug →
ancient3–130.0132%11 Aug →
dust213–7-0.0017%9 Aug →
dust24–13-0.0024%8 Aug →
cache0–130.0233%8 Aug →
dust22–13-0.0633%8 Aug →
anubis13–2-0.0422%8 Aug →
mirage2–13-0.070%8 Aug →
ancient13–11-0.0115%30 Jul →
inferno13–11-0.0113%30 Jul →
dust22–13-0.1211%30 Jul →
inferno13–5-0.0114%30 Jul →
dust213–40.0023%30 Jul →
dust213–90.0218%25 Jul →
mirage13–4-0.046%25 Jul →
dust213–110.0017%25 Jul →
dust28–13-0.0926%25 Jul →
nuke13–00.01100%25 Jul →
mirage11–130.0122%25 Jul →
dust27–130.0217%25 Jul →
mirage13–9-0.0029%25 Jul →
dust213–50.0620%23 Jul →
dust22–130.0125%23 Jul →
inferno11–13-0.0521%23 Jul →
nuke16–130.0122%23 Jul →
cache8–130.0117%23 Jul →
anubis12–6-0.0528%23 Jul →
inferno4–13-0.0222%23 Jul →
office2–13-0.060%22 Jul →
anubis3–13-0.1414%22 Jul →
inferno9–130.0119%22 Jul →
inferno13–80.0214%20 Jul →
inferno13–20.1122%20 Jul →
inferno10–20.0319%20 Jul →
anubis13–10.0218%20 Jul →
ancient13–4-0.0727%20 Jul →
nuke13–10.0618%20 Jul →
dust20–13-0.090%13 Jul →
vertigo7–13-0.0022%13 Jul →
debris8–8-0.0424%13 Jul →
dust24–13-0.0330%13 Jul →
anubis13–40.0627%13 Jul →
inferno13–80.0328%13 Jul →
inferno0–13-0.0314%13 Jul →
nuke13–30.0229%13 Jul →
inferno13–100.0116%10 Jul →
dust213–60.0621%10 Jul →
inferno13–90.0319%10 Jul →
cache9–130.0215%10 Jul →
cache13–9-0.0421%10 Jul →
cache13–60.0124%10 Jul →
ancient7–13-0.0212%10 Jul →
anubis13–40.0721%10 Jul →
dust213–16-0.0317%9 Jul →
inferno13–4-0.0221%9 Jul →
anubis13–70.0121%9 Jul →
ancient11–13-0.036%9 Jul →
cache6–13-0.0330%9 Jul →
dust213–30.0322%9 Jul →
inferno13–5-0.0122%9 Jul →
inferno4–13-0.0213%9 Jul →
mirage13–11-0.0336%3 Jul →
dust213–40.0322%2 Jul →
cache2–100.0010%25 Jun →
vertigo7–130.0224%25 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →