tch1LL

tch1LL — CS2 Stats

OM76561198026168496[U:1:65902768]Steam profile ↗✓ No bans

1,572Tracked matches41%Win rate2020Tracked since
CSDB Rating5.9 SolidPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

+11Tracked matches · now 1,572
0.0ppWin rate · 40.7% → 40.7%

Rating over time

Premier CS Rating: 20,622 +1,018 22 Apr – 29 Jun · 16 days played
19,22621,284peak 21,28422 Apr29 Jun
Faceit ELO: 2,047 +0 17 Sept – 19 Oct · 4 observations
2,0472,047peak 2,04717 Sept19 Oct
21,284Peak Premier in tracked matches
2,047Highest Faceit ELO seen on CSDB
66Days played since 2025-08-10

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.

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CSDB.GGtch1LLPEAK ELO2,047csdb.gg/stats

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Performance scores

Aim73
Positioning67
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY39–52–9Last 10039%Win rateWLWLLWTLWW

Last 10 vs previous 10: +30pp win rate · −0.04 avg rating · +3.1pp headshot accuracy · −47ms reaction

Win rate up 30pp 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 (−0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 558ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 573ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 596ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim7.3
Utility5.0
Positioning6.7
Opening Duels5.2
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 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 603ms 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

Aim7.3
Positioning6.7
Utility5.0
Mechanics6.4
Opening Duels4.9
Win Impact1.9

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time598ms−47ms
first ⅓ avg 645ms → last ⅓ avg 598ms
Headshot accuracy20.5%−2.0%
first ⅓ avg 22.5% → last ⅓ avg 20.5%

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

0.20Best match rating · 13–6 · mirage, 7 Mar →
50%Best headshot accuracy · 7–13 · nuke, 21 Apr →
406msFastest reaction time · 13–7 · nuke, 28 Oct →
13–1Biggest win · vertigo, 4 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2D226–1627%0.02
cacheD186–1233%0.05
ancientB178–947%0.06
mirageA127–558%0.03
infernoD102–820%0.02
anubisC73–443%0.05
nukeS64–267%0.03
train—42–250%0.04
overpass—30–30%0.02
vertigo—11–0100%0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,177Matches
50%Win rate
1.10Avg K/D
80.0ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient28650%1.0816.2
Anubis25857%1.1417.0
Mirage19552%1.1316.3
Inferno9835%1.0016.1
Dust28748%1.0816.5
Train4159%1.0516.1
Vertigo3459%1.1616.6
Overpass3037%1.1017.3

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.

20.3%Headshot accuracy
37.3%Accuracy (enemy spotted)
40.2%Spray accuracy
79.0%Counter-strafing
11.2°Preaim
603msReaction time
43.6%T opening success
56.0%CT opening success
0.53Enemies flashed / flash
9.0%Flash assists
5.82HE damage / grenade
9.95Flashes / match

Recommended for you

Spend your practice time on Inferno

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–7-0.0035%28 Oct →
dust23–13-0.0540%28 Oct →
cache13–80.1015%27 Oct →
inferno0–13-0.0925%27 Oct →
anubis4–13-0.0024%22 Sept →
anubis13–40.0716%22 Sept →
dust215–150.0617%14 Sept →
cache3–13-0.0426%14 Sept →
cache13–70.1011%11 Sept →
ancient13–11-0.0320%10 Sept →
ancient15–150.1418%10 Sept →
cache10–130.0216%9 Sept →
dust25–130.0723%9 Sept →
dust29–130.1018%8 Sept →
inferno5–130.0127%8 Sept →
cache10–130.1329%14 Aug →
ancient5–13-0.0613%11 Aug →
mirage13–80.0625%11 Aug →
cache5–13-0.0520%10 Aug →
nuke13–30.0810%10 Aug →
mirage12–120.0316%5 Aug →
vertigo13–10.1416%4 Aug →
ancient13–60.1521%4 Aug →
dust213–80.0124%29 Jul →
dust24–130.0525%27 Jul →
cache11–130.0414%26 Jul →
inferno10–130.0716%26 Jul →
cache9–130.0829%23 Jul →
anubis13–70.0316%20 Jul →
dust24–13-0.1011%12 Jul →
inferno13–3-0.0122%12 Jul →
dust29–130.0828%29 Jun →
inferno5–13-0.0211%29 Jun →
mirage13–110.0623%28 Jun →
cache11–130.1023%14 Jun →
cache10–130.0543%10 Jun →
dust29–130.1326%9 Jun →
overpass2–130.1127%6 Jun →
mirage10–130.0627%3 Jun →
cache12–120.0615%1 Jun →
dust26–130.1024%1 Jun →
mirage0–13-0.0612%1 Jun →
inferno10–13-0.0217%31 May →
inferno2–130.0225%31 May →
train12–120.1244%30 May →
cache13–8-0.0013%28 May →
dust24–130.0318%23 May →
dust213–11-0.0222%22 May →
cache9–130.0424%22 May →
dust213–70.0419%21 May →
dust28–130.0024%21 May →
nuke13–50.0333%16 May →
ancient4–130.0723%9 May →
cache6–13-0.0025%9 May →
dust27–130.0720%8 May →
cache13–80.1714%7 May →
cache13–100.1228%5 May →
dust213–9-0.0626%5 May →
ancient11–130.1034%4 May →
cache12–12-0.0021%3 May →
dust24–13-0.0230%3 May →
cache13–50.0722%29 Apr →
mirage13–6-0.0011%28 Apr →
inferno5–90.0518%28 Apr →
ancient13–70.0920%27 Apr →
dust20–13-0.0222%24 Apr →
mirage15–15-0.0218%24 Apr →
overpass11–130.0014%23 Apr →
dust215–15-0.0327%23 Apr →
anubis11–70.0436%22 Apr →
nuke1–7-0.0122%22 Apr →
nuke7–13-0.0550%21 Apr →
ancient13–110.0916%21 Apr →
dust213–110.0229%21 Apr →
anubis5–13-0.0425%8 Apr →
ancient15–15-0.0120%1 Apr →
ancient10–130.0314%31 Mar →
ancient13–80.1420%29 Mar →
ancient13–90.1622%29 Mar →
inferno13–50.1423%14 Mar →
nuke13–30.1728%14 Mar →
mirage13–60.2029%7 Mar →
anubis11–130.0921%6 Mar →
mirage11–130.0421%6 Mar →
dust29–13-0.0121%19 Jan →
mirage13–100.0037%28 Oct →
train13–40.0734%27 Oct →
train10–50.0216%23 Oct →
ancient13–90.0616%21 Oct →
inferno10–130.0025%25 Sept →
anubis11–130.1322%11 Sept →
mirage16–14-0.0219%14 Aug →
mirage13–5-0.0612%13 Aug →
overpass10–13-0.0416%13 Aug →
ancient10–13-0.0110%13 Aug →
ancient10–13-0.0515%12 Aug →
train11–13-0.0314%11 Aug →
dust213–7-0.0113%11 Aug →
ancient8–130.0520%10 Aug →
ancient13–90.0336%10 Aug →

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 →

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