tej

tej — CS2 Stats

76561198094846207[U:1:134580479]Steam profile ↗✓ No bans

4,161Tracked matches70%Win rate2020Tracked since
CSDB Rating8.0 StrongPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

+50Tracked matches · now 4,161
−18.1ppWin rate · 88.5% → 70.4%

Rating over time

Faceit ELO: 2,380 +0 28 Aug – 18 Sept · 4 observations
2,3802,380peak 2,38028 Aug18 Sept
2,380Highest Faceit ELO seen on CSDB
23Days played since 2026-08-26

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

CSDB.GGtejFACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO2,380csdb.gg/stats

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Performance scores

Aim87
Positioning76
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY68–24–8Last 10068%Win rateWLWLWWTWLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −2.0pp headshot accuracy · +39ms reaction

Win rate −10pp 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 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 594ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 567ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 547ms

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 (+1.8 against its own average).

Aim8.7
Utility6.2
Positioning7.6
Opening Duels5.9
Clutch3.6

Sharp aimer

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 94% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 554ms 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

Aim8.7
Positioning7.6
Utility6.2
Mechanics7.7
Opening Duels7.9
Win Impact10.0

Composite 8.0/10 (Strong), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time548ms−47ms
first ⅓ avg 595ms → last ⅓ avg 548ms
Headshot accuracy26.8%−2.5%
first ⅓ avg 29.4% → last ⅓ avg 26.8%

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

0.17Best match rating · 8–2 · ancient, 16 Sept →
73%Best headshot accuracy · 13–2 · dust2, 30 Aug →
422msFastest reaction time · 13–6 · dust2, 15 Sept →
13–1Biggest win · dust2, 12 Oct →

Across the last 100 tracked matches.

Highlights

15Longest win streak
6–6In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 88% over 17infernoWeakest map · 63% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A2214–864%0.04
nukeS1715–288%0.03
infernoA1610–663%0.05
ancientS1310–377%0.05
cacheS97–278%0.02
mirageA85–363%0.01
anubis—43–175%0.00
rush_001—40–40%-0.03
train—43–175%0.01
overpass—11–0100%-0.05
debris—10–10%-0.02
vertigo—10–10%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (63% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

845Matches
54%Win rate
1.14Avg K/D
85.2ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient7758%1.1517.3
Anubis4854%1.0516.5
Nuke4757%1.1016.7
Mirage4050%1.0915.8
Inferno3569%1.0815.9
Dust23432%1.0916.3
Train2854%1.2216.9
Overpass2568%1.1516.4

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.

25.7%Headshot accuracy
36.7%Accuracy (enemy spotted)
38.5%Spray accuracy
84.6%Counter-strafing
9.4°Preaim
554msReaction time
65.8%T opening success
57.5%CT opening success
0.52Enemies flashed / flash
10.5%Flash assists
10.33HE damage / grenade
8.45Flashes / match

Recent matches

MapScoreRatingHS%Date
cache13–80.0422%15 Oct →
dust28–130.0220%14 Oct →
nuke13–90.0122%13 Oct →
cache11–13-0.0320%13 Oct →
nuke13–50.0516%13 Oct →
inferno13–8-0.0016%13 Oct →
dust212–120.0425%13 Oct →
mirage13–50.1016%13 Oct →
dust25–130.0335%12 Oct →
nuke13–90.0335%12 Oct →
dust213–10.0132%12 Oct →
inferno13–50.0630%12 Oct →
anubis13–70.0716%12 Oct →
ancient13–110.0427%12 Oct →
inferno13–50.0215%12 Oct →
rush_0011–5-0.1430%12 Oct →
ancient9–130.0516%10 Oct →
cache13–110.0225%10 Oct →
inferno12–120.0836%10 Oct →
overpass13–10-0.0522%10 Oct →
mirage13–100.0224%7 Oct →
inferno13–20.0225%7 Oct →
dust210–130.0116%7 Oct →
rush_0017–80.0150%7 Oct →
nuke13–50.0430%6 Oct →
mirage6–130.0133%6 Oct →
dust212–120.0839%6 Oct →
dust213–110.0935%6 Oct →
mirage13–40.0827%6 Oct →
ancient13–9-0.0623%6 Oct →
anubis3–13-0.0143%5 Oct →
ancient11–13-0.0332%5 Oct →
dust213–10.1132%5 Oct →
inferno7–40.1426%4 Oct →
dust213–20.1148%4 Oct →
mirage13–1-0.0123%4 Oct →
ancient13–4-0.0129%4 Oct →
train13–10-0.0329%4 Oct →
nuke13–3-0.0232%4 Oct →
cache13–10.0923%4 Oct →
rush_0017–8-0.010%4 Oct →
rush_0016–80.020%4 Oct →
inferno13–30.0835%30 Sept →
nuke13–50.0230%30 Sept →
cache13–10-0.0422%30 Sept →
cache7–13-0.0026%30 Sept →
mirage8–13-0.0321%30 Sept →
dust212–12-0.0038%17 Sept →
mirage13–5-0.0028%17 Sept →
ancient13–30.1325%17 Sept →
inferno7–13-0.0114%17 Sept →
dust213–110.0116%17 Sept →
nuke13–50.1437%17 Sept →
ancient8–20.1736%16 Sept →
cache13–20.0840%16 Sept →
nuke13–50.1138%16 Sept →
inferno13–80.0026%15 Sept →
anubis8–0-0.0418%15 Sept →
nuke13–20.0725%15 Sept →
cache13–60.0224%15 Sept →
dust213–30.0423%15 Sept →
dust213–60.0237%15 Sept →
dust213–3-0.0327%14 Sept →
ancient13–50.1030%14 Sept →
inferno13–60.1029%14 Sept →
inferno9–60.1417%14 Sept →
debris6–9-0.0222%14 Sept →
ancient13–60.0719%13 Sept →
dust213–70.0022%11 Sept →
train12–12-0.0129%11 Sept →
cache13–20.0131%11 Sept →
vertigo12–120.0422%10 Sept →
nuke13–30.0526%10 Sept →
ancient7–13-0.0314%10 Sept →
mirage10–13-0.0412%2 Sept →
nuke13–110.0117%1 Sept →
train13–90.0434%1 Sept →
dust212–120.0126%1 Sept →
train13–10.0310%1 Sept →
nuke13–2-0.0820%1 Sept →
ancient13–60.0924%1 Sept →
inferno8–13-0.0328%1 Sept →
dust213–70.0628%1 Sept →
ancient13–100.0221%1 Sept →
nuke7–13-0.0726%1 Sept →
dust213–20.0773%30 Aug →
ancient13–40.1347%30 Aug →
dust213–50.0432%30 Aug →
nuke12–120.0133%30 Aug →
inferno13–30.1239%30 Aug →
dust213–60.0836%30 Aug →
dust213–70.0038%29 Aug →
nuke13–10.1044%29 Aug →
inferno6–130.0138%29 Aug →
inferno3–20.0417%29 Aug →
nuke13–8-0.0120%29 Aug →
inferno6–130.0432%27 Aug →
nuke13–30.0228%27 Aug →
dust211–13-0.0130%27 Aug →
anubis13–5-0.0155%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches15-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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