Tellur

Tellur — CS2 Stats

76561197963547937[U:1:3282209]Steam profile ↗✓ No bans

1,211Tracked matches37%Win rate2020Tracked since
CSDB Rating3.3 LearningSupport
FaceitLevel 4 · 1,108 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,211 tracked matches. 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. 42 days played since 13 Sep 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 24,665 +5,452 24 Oct2 Jun · 7 days played
18,57125,532peak 25,53224 Oct2 Jun
Faceit ELO: 1,108 +0 1 Sept12 Sept · 2 observations
1,1081,108peak 1,1081 Sept12 Sept
25,638Peak Premier in tracked matches
1,108Highest Faceit ELO seen on CSDB
42Days played since 2025-09-13

Faceit ELO

  • At peak — 1,108
  • Next: Level 6 at 1,201 93 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-01
  • Level 4 first seen 2026-09-01

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.GGTellurFACEITLevel 4 · 1,108 ELOSTANDINGTop 81.0% of rankedPEAK ELO1,108csdb.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

Aim36
Positioning44
Utility55

0–100 skill scores via Leetify.

Recent form

COLD46531Last 10046%Win rateLWLWLLLLLL

Last 10 vs previous 10: −50pp win rate · +0.00 avg rating · +4.3pp headshot accuracy · +22ms reaction

Win rate down 50pp 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

  • 23 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 719ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 675ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 664ms

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: SupportUtility contribution stands above the rest of this profile (+2.1 against its own average).

Aim3.6
Utility5.5
Positioning4.4
Opening Duels1.3
Clutch2.6

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

NiKo

Plays most like NiKo 64% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 643ms 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

Aim3.6
Positioning4.4
Utility5.5
Mechanics5.0
Opening Duels0.7
Win Impact0.6

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time651ms−55ms
first ⅓ avg 706ms → last ⅓ avg 651ms
Headshot accuracy15.1%−3.4%
first ⅓ avg 18.5% → last ⅓ avg 15.1%

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 · 13–7 · cache, 21 Jul
35%Best headshot accuracy · 9–13 · inferno, 13 Sept
406msFastest reaction time · 11–13 · anubis, 21 Jul
13–0Biggest win · inferno, 5 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
69In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 63% over 16anubisWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB24131154%-0.01
nukeB21111052%-0.03
ancientC1661038%-0.02
overpassA1610663%-0.03
anubisD1441029%-0.04
cacheD72529%-0.02
mirage1010%-0.06
train1010%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

427Matches
52%Win rate
0.91Avg K/D
63.3ADR
36%Headshot %

Clutches & streaks

33%1v1 clutch win
10%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3832%0.7311.4
Nuke3256%0.8212.1
Inferno2055%0.7311.0
Overpass1974%0.9213.8
Anubis967%0.8212.0
Vertigo650%0.8316.2
Train520%0.9114.6
Dust220%0.539.0

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.

14.8%Headshot accuracy
28.8%Accuracy (enemy spotted)
24.3%Spray accuracy
72.7%Counter-strafing
9.7°Preaim
643msReaction time
29.5%T opening success
35.3%CT opening success
0.59Enemies flashed / flash
1.5%Flash assists
10.85HE damage / grenade
7.30Flashes / 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 14.8131% — 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 29.4732% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis3–13-0.128%1 Sept
inferno13–7-0.0019%17 Aug
ancient11–130.0310%17 Aug
nuke13–110.0528%15 Aug
inferno10–130.0526%15 Aug
anubis5–13-0.0717%15 Aug
nuke10–13-0.0414%11 Aug
cache14–16-0.0316%11 Aug
anubis3–13-0.0518%5 Aug
cache13–16-0.0415%5 Aug
inferno13–00.045%5 Aug
mirage11–13-0.0613%1 Aug
nuke13–6-0.0117%1 Aug
cache5–13-0.0615%28 Jul
nuke13–11-0.047%28 Jul
anubis13–9-0.0319%27 Jul
cache13–10-0.0411%27 Jul
cache5–13-0.0215%23 Jul
ancient13–10-0.085%23 Jul
cache13–70.0822%21 Jul
anubis11–13-0.0623%21 Jul
ancient9–13-0.0416%15 Jul
inferno13–8-0.042%15 Jul
cache8–13-0.0213%8 Jul
inferno9–13-0.0824%25 Jun
ancient10–13-0.0613%25 Jun
overpass10–13-0.0115%25 Jun
nuke9–13-0.049%16 Jun
inferno13–10-0.0215%2 Jun
ancient11–13-0.0111%2 Jun
inferno9–130.0114%17 May
overpass2–13-0.1219%17 May
nuke3–13-0.0925%14 Apr
overpass13–100.0016%14 Apr
nuke3–13-0.0926%14 Mar
overpass13–9-0.0420%14 Mar
ancient13–10-0.0216%14 Mar
nuke21–25-0.0522%14 Mar
anubis13–10-0.045%14 Mar
inferno10–13-0.0524%14 Mar
nuke14–16-0.079%14 Mar
inferno13–6-0.048%14 Mar
ancient5–13-0.0921%14 Mar
ancient4–13-0.0316%14 Mar
ancient9–13-0.0018%14 Mar
nuke13–80.0529%14 Mar
nuke16–14-0.0523%13 Mar
anubis14–16-0.0418%13 Mar
anubis6–13-0.0319%13 Mar
nuke13–80.0816%13 Mar
overpass13–6-0.0114%13 Mar
anubis13–7-0.0427%13 Mar
ancient16–12-0.0512%13 Mar
inferno5–13-0.0217%13 Mar
nuke16–14-0.0721%8 Mar
anubis9–13-0.0111%8 Mar
overpass13–10-0.0112%7 Mar
inferno13–10-0.0416%7 Mar
ancient6–130.0120%7 Mar
anubis13–10.0415%5 Mar
inferno13–10-0.0215%1 Mar
anubis8–13-0.0615%24 Feb
anubis6–13-0.0610%22 Feb
ancient12–120.0115%22 Feb
anubis8–13-0.0219%15 Feb
ancient13–40.0111%11 Jan
nuke13–9-0.0019%11 Jan
inferno14–16-0.0626%1 Jan
ancient13–8-0.079%1 Jan
nuke8–13-0.1127%30 Nov
inferno13–80.0123%30 Nov
overpass13–11-0.0021%24 Nov
inferno13–20.0119%24 Nov
overpass1–13-0.1630%17 Nov
overpass8–13-0.0425%11 Nov
nuke10–13-0.0212%5 Nov
overpass2–130.0030%5 Nov
nuke13–6-0.0219%2 Nov
ancient13–5-0.0126%2 Nov
overpass13–5-0.033%2 Nov
inferno9–13-0.0124%29 Oct
inferno13–60.0417%29 Oct
overpass3–13-0.0418%24 Oct
overpass11–20.0012%24 Oct
ancient8–130.0516%20 Oct
inferno5–13-0.0412%6 Oct
inferno13–80.0118%2 Oct
inferno5–13-0.0617%2 Oct
inferno13–30.0419%22 Sept
inferno8–13-0.070%22 Sept
inferno13–30.0326%18 Sept
nuke13–5-0.049%13 Sept
nuke8–13-0.0520%13 Sept
overpass13–50.0010%13 Sept
overpass13–80.0516%13 Sept
overpass13–11-0.0120%13 Sept
nuke13–40.0416%13 Sept
train5–13-0.0417%13 Sept
nuke14–16-0.0119%13 Sept
inferno9–13-0.0035%13 Sept

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 →