trinkmann

trinkmann — CS2 Stats

76561198106661067[U:1:146395339]Steam profile ↗✓ No bans

2,504Tracked matches50%Win rate2020Tracked since
4,176Hours in CS2Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
FaceitLevel 8 · 1,780 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,780 → 1,780
+2Tracked matches · now 2,504
0.0ppWin rate · 50.0% → 50.0%
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. 66 days played since 4 Oct 2025. 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

1,780Highest Faceit ELO seen on CSDB
66Days played since 2025-10-04

Faceit ELO

  • At peak — 1,780
  • Next: Level 10 at 2,001 — 221 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,086), 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.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate57.2%46.8%48.3%above
Shot accuracy16.3%13.0%13.2%above
Kill/death ratio0.951.061.070.12 short
Match win rate42.0%46.3%46.9%4.9% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGtrinkmannFACEITLevel 8 · 1,780 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,780csdb.gg/stats

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

Aim48
Positioning56
Utility60

0–100 skill scores via Leetify.

Recent form

HOT49–48–3Last 10049%Win rateWWWLWWWWWW

Last 10 vs previous 10: +50pp win rate · +0.00 avg rating · −1.4pp headshot accuracy · +6ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 622ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 632ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 629ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim4.8
Utility6.0
Positioning5.6
Opening Duels4.2
Clutch3.6

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

jL

Plays most like jL 68% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 615ms 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

Aim4.8
Positioning5.6
Utility6.0
Mechanics5.0
Opening Duels2.9
Win Impact5.0

Composite 4.7/10 (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.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time612ms−8ms
first ⅓ avg 620ms → last ⅓ avg 612ms
Headshot accuracy17.4%+0.1%
first ⅓ avg 17.3% → last ⅓ avg 17.4%

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

0.08Best match rating · 13–5 · ancient, 17 Nov →
40%Best headshot accuracy · 13–7 · inferno, 21 Nov →
414msFastest reaction time · 5–13 · ancient, 9 Jan →
13–2Biggest win · ancient, 3 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
11–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 56% over 27nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA2715–1256%-0.02
ancientB2411–1346%-0.02
dust2C208–1240%-0.02
overpassB137–654%-0.02
nukeD62–433%-0.03
mirageC52–340%-0.00
cache—33–0100%0.01
anubis—11–0100%-0.06
train—10–10%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

173,876Lifetime kills
0.95K/D
5,399Matches
42.0%Match win rate
57.2%Headshot % · Top 25% of Level 8 players
16.3%Shot accuracy · Top 25% of Level 8 players
11,379MVPs
4,626Hours (in match)
5,083Bombs planted
1,354Bombs defused

Most-used weapons

AK-4750,000
AWP15,658
FAMAS4,762
Knife3,143
P2502,443

Lifetime map wins

15,450dust2
13,782inferno
3,172nuke
1,352train
1,262vertigo
490cbble
149lake
51office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

2,343Matches
51%Win rate
0.98Avg K/D
76.7ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno31358%0.9615.0
Dust221151%0.9314.8
Ancient21146%0.8614.5
Nuke9250%0.9414.7
Anubis8335%0.8113.2
Overpass6949%0.9715.5
Mirage3135%0.8815.1
Train2839%0.9015.7

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.

18.3%Headshot accuracy
30.3%Accuracy (enemy spotted)
32.3%Spray accuracy
72.4%Counter-strafing
10.9°Preaim
615msReaction time
34.3%T opening success
49.0%CT opening success
0.59Enemies flashed / flash
4.4%Flash assists
10.81HE damage / grenade
8.89Flashes / 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. 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 34.3465% — below the 40% mark we flag

Spend your practice time on Nuke

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 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–3-0.0218%11 Aug →
ancient13–9-0.0117%31 Jul →
inferno13–11-0.0315%31 Jul →
nuke2–13-0.075%20 Jul →
dust216–12-0.0218%3 Jul →
ancient4–00.0120%3 Jul →
inferno13–7-0.0213%1 Jul →
dust213–40.0429%1 Jul →
inferno13–7-0.099%27 Jun →
cache13–80.0321%26 Jun →
cache16–12-0.0514%26 Jun →
dust29–13-0.0133%26 Jun →
dust213–100.0023%22 Jun →
cache13–40.048%16 Jun →
inferno8–13-0.049%16 Jun →
inferno8–13-0.0328%15 Jun →
ancient13–4-0.0310%10 Jun →
dust210–13-0.0417%10 Jun →
inferno11–13-0.0419%9 Jun →
inferno6–13-0.0318%8 Jun →
dust29–13-0.0216%8 Jun →
ancient10–13-0.0216%8 Jun →
mirage6–130.0020%8 Jun →
overpass13–8-0.0412%7 Jun →
dust28–13-0.0523%29 May →
dust29–13-0.0229%19 May →
dust21–13-0.0927%15 May →
inferno16–19-0.0327%27 Apr →
ancient13–11-0.0020%24 Apr →
dust210–13-0.0210%19 Apr →
ancient6–13-0.064%18 Apr →
inferno11–13-0.0412%13 Apr →
inferno14–16-0.0317%8 Apr →
overpass13–9-0.0427%8 Apr →
overpass3–13-0.0624%3 Apr →
ancient13–2-0.0211%3 Apr →
ancient13–9-0.0122%31 Mar →
ancient16–14-0.0215%31 Mar →
ancient7–13-0.0821%29 Mar →
nuke3–13-0.0427%26 Mar →
mirage13–30.0614%26 Mar →
dust27–13-0.0413%25 Mar →
inferno13–80.0214%16 Feb →
dust213–9-0.0314%7 Feb →
inferno13–11-0.0213%2 Feb →
inferno13–11-0.0416%28 Jan →
anubis16–12-0.067%11 Jan →
ancient3–13-0.075%10 Jan →
dust26–13-0.0416%10 Jan →
ancient5–13-0.046%9 Jan →
overpass10–13-0.0414%9 Jan →
overpass9–13-0.0119%8 Jan →
overpass13–5-0.0219%8 Jan →
inferno7–13-0.0119%7 Jan →
ancient10–13-0.0311%7 Jan →
dust211–13-0.0617%5 Jan →
ancient11–130.0322%5 Jan →
ancient13–10-0.0613%2 Jan →
nuke13–110.009%31 Dec →
ancient9–130.0223%30 Dec →
dust210–13-0.0514%29 Dec →
inferno13–10-0.0011%24 Dec →
inferno13–70.0215%23 Dec →
ancient1–13-0.0925%10 Dec →
ancient13–11-0.0120%7 Dec →
mirage15–150.0015%1 Dec →
inferno15–150.0017%1 Dec →
inferno15–150.0316%22 Nov →
overpass6–13-0.0415%21 Nov →
inferno13–7-0.0340%21 Nov →
dust213–80.0517%21 Nov →
dust213–10-0.0213%20 Nov →
inferno13–100.0615%20 Nov →
ancient13–50.0823%17 Nov →
dust211–13-0.0214%17 Nov →
overpass13–11-0.0125%16 Nov →
ancient13–6-0.0116%15 Nov →
overpass13–110.0122%15 Nov →
inferno16–12-0.0422%11 Nov →
ancient10–130.0215%11 Nov →
nuke14–160.0216%10 Nov →
inferno11–13-0.0310%10 Nov →
inferno7–13-0.039%10 Nov →
mirage13–7-0.0326%10 Nov →
overpass10–130.0310%9 Nov →
mirage15–19-0.0414%8 Nov →
ancient10–13-0.0811%6 Nov →
inferno13–100.0615%4 Nov →
overpass13–6-0.0222%4 Nov →
nuke9–13-0.0319%4 Nov →
dust213–11-0.0118%3 Nov →
ancient11–13-0.0616%18 Oct →
inferno13–50.0123%18 Oct →
train9–13-0.0521%16 Oct →
overpass16–14-0.0319%14 Oct →
overpass18–22-0.0312%7 Oct →
inferno13–9-0.0118%5 Oct →
ancient10–13-0.0123%5 Oct →
nuke13–5-0.088%5 Oct →
inferno13–6-0.048%4 Oct →

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 →