Trell'Mit

Trell'Mit — CS2 Stats

AX76561198142187866[U:1:181922138]Steam profile ↗✓ No bans

727Tracked matches53%Win rate2020Tracked since
774Hours in CS
CSDB Rating4.4 DevelopingAll-Rounder
Premier CS Rating11,363Blue band · top ~47.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−143Premier CS Rating · 11,506 → 11,363

Rating over time

Premier CS Rating: 11,363 +6,247 1 Aug – 14 Nov · 43 days played
4,86211,545peak 11,5451 Aug14 Nov
11,808Peak Premier in tracked matches
37Days played since 2026-08-01

Premier CS Rating

  • 182 below peak (11,545)
  • +533 over 30 days · improving
  • +1,061 over 90 days
  • Next: Purple band at 15,000 — 3,637 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-18
  • Light Blue band first seen 2026-09-18

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches185+13
Win rate44%0%+44pp
K/D0.830.42+0.41
Headshot %31%41%−10pp

Measured 19 Oct 2026 → 14 Nov 2026; previous 18 Sep 2026 → 19 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate33.0%42.0%44.4%11.4% short
Shot accuracy12.5%9.6%11.9%above
Kill/death ratio0.910.981.030.12 short
Match win rate36.3%43.8%45.2%8.9% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTrell'MitPREMIER11,363 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning52
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateWLLWWLLLWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.9pp headshot accuracy · −41ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 533ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 577ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 597ms

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.

Aim4.2
Utility5.0
Positioning5.2
Opening Duels4.6

Strong CT-side openerLimited utility dependence

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 80% 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

T-side openings. Opening success drops from 58% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning5.2
Utility5.0
Mechanics3.2
Opening Duels4.7
Win Impact6.1

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.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time598ms−81ms
first ⅓ avg 679ms → last ⅓ avg 598ms
Headshot accuracy10.8%−0.7%
first ⅓ avg 11.5% → last ⅓ avg 10.8%

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

0.14Best match rating · 13–2 · dust2, 13 Aug →
32%Best headshot accuracy · 4–13 · ancient, 18 Aug →
391msFastest reaction time · 4–13 · ancient, 18 Aug →
13–1Biggest win · mirage, 13 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 75% over 8nukeWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2S2718–967%-0.00
mirageA2516–964%0.01
nukeD134–931%0.00
anubisC94–544%-0.01
ancientA95–456%-0.00
infernoC83–538%0.02
cacheS86–275%0.04
rush_001—10–10%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,959Lifetime kills
0.91K/D
2,533Matches
36.3%Match win rate
33.0%Headshot %
12.5%Shot accuracy · Top 50% of Blue band
3,349MVPs
774Hours (in match)
1,602Bombs planted
390Bombs defused

Most-used weapons

Lifetime map wins

4,649dust2
1,961nuke
1,621inferno
354train
306vertigo
66ar_shoots
34safehouse
34militia

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.8%Headshot accuracy
33.5%Accuracy (enemy spotted)
36.0%Spray accuracy
64.2%Counter-strafing
10.1°Preaim
596msReaction time
39.3%T opening success
58.1%CT opening success
0.53Enemies flashed / flash
4.6%Flash assists
12.13HE damage / grenade
4.74Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.7937% — below the 15% mark we flag

    Aim Training →
  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 39.3131% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–70.0329%14 Nov →
anubis2–13-0.104%14 Nov →
inferno10–130.059%13 Nov →
anubis13–90.0513%13 Nov →
mirage13–10.127%13 Nov →
dust25–13-0.080%13 Nov →
anubis2–13-0.0619%12 Nov →
nuke9–13-0.026%11 Nov →
mirage13–50.0410%11 Nov →
dust213–100.0114%11 Nov →
anubis3–13-0.067%8 Nov →
cache13–100.0112%8 Nov →
cache13–16-0.018%7 Nov →
dust213–40.0112%7 Nov →
dust28–13-0.025%6 Nov →
dust213–40.0410%6 Nov →
rush_0016–8-0.0527%1 Oct →
inferno9–13-0.034%10 Sept →
ancient13–9-0.019%10 Sept →
mirage13–80.108%8 Sept →
dust213–100.0111%6 Sept →
ancient9–1-0.028%6 Sept →
nuke13–80.0110%5 Sept →
dust213–100.0410%4 Sept →
cache7–130.1120%3 Sept →
ancient5–13-0.073%2 Sept →
nuke8–13-0.0019%2 Sept →
anubis13–80.0713%2 Sept →
mirage10–13-0.028%2 Sept →
dust24–13-0.0512%1 Sept →
mirage13–7-0.023%1 Sept →
inferno6–130.0015%1 Sept →
mirage16–14-0.0714%1 Sept →
nuke4–13-0.037%31 Aug →
cache13–10-0.0617%31 Aug →
nuke10–130.0719%28 Aug →
dust27–13-0.050%26 Aug →
mirage8–130.0114%26 Aug →
mirage5–130.0013%26 Aug →
nuke15–150.0118%20 Aug →
mirage13–90.005%20 Aug →
anubis13–10-0.0211%19 Aug →
mirage13–80.0314%19 Aug →
ancient4–13-0.0432%18 Aug →
nuke5–13-0.0123%16 Aug →
dust213–9-0.0913%15 Aug →
inferno3–13-0.047%14 Aug →
mirage4–13-0.0115%14 Aug →
mirage10–130.0317%14 Aug →
mirage16–130.0414%13 Aug →
mirage13–5-0.0211%13 Aug →
dust213–20.144%13 Aug →
mirage11–50.036%13 Aug →
dust213–90.0814%13 Aug →
dust213–4-0.0716%13 Aug →
anubis15–150.029%12 Aug →
nuke11–13-0.085%12 Aug →
anubis13–50.0115%12 Aug →
dust213–7-0.0314%12 Aug →
dust213–10.0227%11 Aug →
nuke6–13-0.0210%11 Aug →
dust213–100.026%10 Aug →
nuke13–10.0413%10 Aug →
inferno13–3-0.0112%9 Aug →
ancient16–140.0211%9 Aug →
nuke13–11-0.023%9 Aug →
ancient11–13-0.029%9 Aug →
mirage13–11-0.017%8 Aug →
cache13–110.0822%8 Aug →
mirage10–13-0.0311%8 Aug →
mirage10–13-0.0115%8 Aug →
cache13–110.107%8 Aug →
mirage13–3-0.037%8 Aug →
inferno11–130.039%7 Aug →
dust213–110.0114%7 Aug →
dust213–10-0.0010%7 Aug →
cache13–8-0.0016%7 Aug →
dust213–6-0.026%7 Aug →
nuke11–130.0030%6 Aug →
ancient13–80.0919%6 Aug →
mirage13–100.0320%6 Aug →
nuke13–60.129%6 Aug →
dust27–2-0.0214%6 Aug →
dust29–13-0.0610%5 Aug →
cache13–40.0710%5 Aug →
dust23–13-0.060%5 Aug →
anubis15–15-0.047%5 Aug →
dust211–2-0.0122%5 Aug →
dust213–80.0410%5 Aug →
mirage12–160.0112%4 Aug →
mirage13–10.1210%4 Aug →
ancient5–130.009%4 Aug →
dust210–130.0212%2 Aug →
mirage13–100.0211%2 Aug →
dust24–13-0.038%2 Aug →
mirage9–130.0211%2 Aug →
mirage16–14-0.015%2 Aug →
inferno13–110.1013%2 Aug →
dust214–160.057%2 Aug →
ancient13–80.019%1 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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