teible

teible — CS2 Stats

76561198341132399[U:1:380866671]Steam profile ↗✓ No bans

907Tracked matches59%Win rate2022Tracked since
1,603Hours in CS2Hrs last 2 wks
CSDB Rating4.9 DevelopingSupport
Premier CS Rating13,503Blue band · top ~36.3% of ranked players (population est.)
FaceitLevel 4 · 998 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,503 +1,280 29 Jul – 14 Oct · 23 days played
10,42414,990peak 14,99029 Jul14 Oct
14,990Peak Premier in tracked matches
998Highest Faceit ELO seen on CSDB
31Days played since 2026-07-21

Faceit ELO

  • At peak — 998
  • Next: Level 5 at 1,051 — 53 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 1,487 below peak (14,990)
  • +3,079 over 30 days · improving
  • +1,280 over 90 days
  • Next: Purple band at 15,000 — 1,497 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,312), 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 4 medianLevel 5 medianvs Level 5
Headshot rate36.0%42.7%43.7%7.8% short
Shot accuracy5.2%11.3%12.0%6.8% short
Kill/death ratio0.840.991.020.17 short
Match win rate42.5%43.9%44.7%2.2% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGteibleFACEITLevel 4 · 998 ELOSTANDINGTop 81.0% of rankedPREMIER13,503 · Blue bandPEAK ELO998csdb.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

Aim42
Positioning52
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWWTLWLWWLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −3.4pp headshot accuracy · +15ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 559ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 548ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 540ms

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 (+2.4 against its own average).

Aim4.2
Utility6.2
Positioning5.2
Opening Duels2.9
Clutch0.8

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

donk

Plays most like donk 67% 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

Counter-strafing. Only 69% 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
Utility6.2
Mechanics4.2
Opening Duels4.8
Win Impact7.9

Composite 4.9/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time539ms−38ms
first ⅓ avg 577ms → last ⅓ avg 539ms
Headshot accuracy12.2%−0.5%
first ⅓ avg 12.7% → last ⅓ avg 12.2%

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

0.31Best match rating · 9–4 · vertigo, 10 Aug →
39%Best headshot accuracy · 9–13 · dust2, 24 Sept →
336msFastest reaction time · 3–13 · inferno, 13 Aug →
13–0Biggest win · inferno, 28 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
5–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 78% over 18ancientWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C2310–1343%-0.00
infernoA1912–763%0.01
mirageS1814–478%-0.00
ancientD154–1127%-0.02
anubisA106–460%-0.01
cacheD62–433%0.00
nuke—43–175%0.04
debris—21–150%0.06
overpass—11–0100%0.15
fachwerk—10–10%0.02
vertigo—11–0100%0.31

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,673Lifetime kills
0.84K/D
2,287Matches
42.5%Match win rate
36.0%Headshot %
5.2%Shot accuracy
6,103MVPs
2,119Hours (in match)
2,305Bombs planted
664Bombs defused

Most-used weapons

Lifetime map wins

5,088inferno
1,248nuke
1,131vertigo
1,109dust2
555train
33cbble
27office
23lake

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

Faceit stats

Combat

36Matches
58%Win rate
0.96Avg K/D
78.8ADR
43%Headshot %

Clutches & streaks

24%1v1 clutch win
13%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno978%0.8114.4
Anubis862%1.1414.5
Ancient650%0.9014.2
Cache450%0.9114.5
Mirage333%1.1117.0
Nuke250%0.7514.0
Dust2250%0.8614.0
Vertigo1100%2.4024.0

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.

12.8%Headshot accuracy
30.9%Accuracy (enemy spotted)
36.7%Spray accuracy
69.1%Counter-strafing
13.5°Preaim
530msReaction time
49.6%T opening success
49.1%CT opening success
0.66Enemies flashed / flash
7.6%Flash assists
8.39HE damage / grenade
10.67Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.4937° — above the 12° mark we flag

    Aim Training →
  2. 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 12.8303% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.066%14 Oct →
cache13–6-0.028%30 Sept →
dust215–15-0.0213%30 Sept →
mirage5–13-0.0321%29 Sept →
mirage13–100.035%29 Sept →
dust29–13-0.022%28 Sept →
anubis13–8-0.0010%28 Sept →
mirage13–60.0114%28 Sept →
dust29–13-0.1017%28 Sept →
inferno13–00.0121%28 Sept →
anubis13–16-0.0926%28 Sept →
dust213–110.024%28 Sept →
dust29–130.0139%24 Sept →
inferno13–100.049%23 Sept →
dust26–13-0.0214%23 Sept →
dust216–130.0013%23 Sept →
dust25–13-0.0218%23 Sept →
mirage13–110.007%22 Sept →
nuke13–40.077%21 Sept →
nuke13–30.0415%21 Sept →
mirage13–9-0.0115%18 Sept →
ancient10–13-0.1013%18 Sept →
inferno13–110.0111%16 Sept →
inferno9–7-0.045%14 Sept →
ancient12–16-0.0110%14 Sept →
inferno13–70.016%14 Sept →
dust213–100.0119%14 Sept →
overpass9–50.157%11 Sept →
mirage4–13-0.0213%11 Sept →
ancient13–100.0414%11 Sept →
dust211–13-0.019%11 Sept →
nuke11–130.109%11 Sept →
inferno9–130.034%10 Sept →
anubis13–40.039%10 Sept →
mirage13–80.0215%8 Sept →
anubis7–13-0.0211%8 Sept →
mirage0–13-0.0821%8 Sept →
dust29–13-0.0220%8 Sept →
inferno13–110.0511%8 Sept →
inferno11–130.0218%8 Sept →
mirage8–13-0.0510%8 Sept →
ancient8–13-0.0419%8 Sept →
ancient3–13-0.0312%8 Sept →
mirage13–00.0513%7 Sept →
dust213–50.0728%7 Sept →
dust210–130.098%7 Sept →
mirage13–5-0.028%7 Sept →
cache10–130.036%7 Sept →
dust211–3-0.0414%6 Sept →
ancient4–13-0.0114%6 Sept →
cache12–16-0.0626%6 Sept →
anubis11–13-0.044%6 Sept →
dust25–130.0023%6 Sept →
ancient13–7-0.037%30 Aug →
inferno13–9-0.0310%28 Aug →
dust210–13-0.0221%28 Aug →
dust213–7-0.0319%28 Aug →
ancient11–130.0318%28 Aug →
inferno3–13-0.058%13 Aug →
inferno13–50.089%12 Aug →
dust213–50.0214%12 Aug →
ancient9–13-0.0412%12 Aug →
dust213–90.1018%11 Aug →
mirage13–90.0110%11 Aug →
nuke13–6-0.0612%11 Aug →
fachwerk6–130.0215%10 Aug →
vertigo9–40.3111%10 Aug →
debris9–40.0911%10 Aug →
debris7–90.035%10 Aug →
inferno3–10-0.010%10 Aug →
mirage13–5-0.0115%6 Aug →
mirage13–90.0012%5 Aug →
ancient13–30.0312%5 Aug →
anubis13–10-0.0216%5 Aug →
inferno16–130.0413%5 Aug →
dust211–13-0.0622%4 Aug →
cache6–13-0.0813%4 Aug →
ancient11–13-0.076%4 Aug →
mirage13–100.0213%4 Aug →
dust213–5-0.0011%4 Aug →
anubis9–13-0.0410%4 Aug →
inferno13–6-0.039%4 Aug →
dust213–60.0625%30 Jul →
dust29–13-0.0923%29 Jul →
inferno15–150.0114%29 Jul →
mirage13–5-0.0223%29 Jul →
inferno13–9-0.0411%29 Jul →
ancient13–20.0013%29 Jul →
mirage13–10-0.023%29 Jul →
ancient6–130.0121%29 Jul →
mirage13–80.0711%29 Jul →
inferno7–130.0111%28 Jul →
inferno10–13-0.0316%28 Jul →
cache10–13-0.0014%23 Jul →
ancient5–13-0.028%23 Jul →
anubis13–80.0316%23 Jul →
cache13–40.1213%22 Jul →
anubis13–90.0911%22 Jul →
inferno13–100.0510%21 Jul →
ancient5–13-0.0412%21 Jul →

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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