_Tuller

_Tuller — CS2 Stats

US76561198067212084[U:1:106946356]Steam profile ↗✓ No bans

1,146Tracked matches50%Win rate2020Tracked since
3,356Hours in CS25Hrs last 2 wks
CSDB Rating6.1 SolidSupport
Premier CS Rating23,848Top 25% of 190,010 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#31369 of 238044 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. 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. 29 days played since 27 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 23,848 +2,178 27 Jul22 Sept · 22 days played
21,62423,861peak 23,86127 Jul22 Sept
23,861Peak Premier in tracked matches
29Days played since 2026-07-27

Premier CS Rating

  • 13 below peak (23,861)
  • +1,998 over 30 days · improving
  • Next: Red band at 25,000 1,152 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-22
  • Purple band first seen 2026-09-22

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 8 among CSDB-tracked players (n=13,860), 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 8 medianLevel 9 medianvs Level 9
Headshot rate41.9%46.8%48.3%6.4% short
Shot accuracy15.1%13.0%13.2%above
Kill/death ratio1.021.061.070.05 short
Match win rate43.4%46.3%46.9%3.5% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG_TullerFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,848 · Pink bandcsdb.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

Aim84
Positioning46
Utility49

0–100 skill scores via Leetify.

Recent form

HOT50455Last 10050%Win rateWLWWWWTWWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +2.5pp headshot accuracy · −78ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 500ms

Last 10

  • 811 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 512ms

Last 20

  • 1262 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 551ms

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 (+1.8 against its own average).

Aim8.4
Utility4.9
Positioning4.6
Opening Duels0.0
Clutch3.0

Strong T-side opener

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

sh1ro

Plays most like sh1ro 81% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 38% on T to 20% on CT — first contacts on the defending side are being lost.

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

Aim8.4
Positioning4.6
Utility4.9
Mechanics7.7
Opening Duels1.1
Win Impact5.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time544ms−69ms
first ⅓ avg 613ms → last ⅓ avg 544ms
Headshot accuracy19.4%−2.9%
first ⅓ avg 22.4% → last ⅓ avg 19.4%

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

0.11Best match rating · 13–5 · dust2, 7 Sept
47%Best headshot accuracy · 8–13 · mirage, 22 Aug
352msFastest reaction time · 13–4 · ancient, 20 Sept
13–2Biggest win · mirage, 20 Sept

Across the last 100 tracked matches.

Highlights

10Longest win streak
910In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 67% over 9anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B179853%-0.00
mirageB179853%0.00
cacheC167944%-0.00
ancientB147750%-0.01
nukeA148657%0.00
infernoS96367%0.01
anubisD92722%-0.01
train32167%0.02
vertigo1010%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,269Lifetime kills
1.02K/D
4,921Matches
43.4%Match win rate
41.9%Headshot %
15.1%Shot accuracy · Top 50% of Level 8 players
10,104MVPs
4,411Hours (in match)
3,848Bombs planted
937Bombs defused

Most-used weapons

AK-4742,786
AWP10,275
MAC-102,928
P902,484
P2502,328
FAMAS2,075

Lifetime map wins

9,369dust2
6,048inferno
2,580nuke
1,562train
1,175vertigo
787cbble
243office
46italy

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

Faceit stats

Combat

563Matches
51%Win rate
1.16Avg K/D
80.7ADR
41%Headshot %

Clutches & streaks

35%1v1 clutch win
12%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2370%1.1515.1
Anubis1856%0.8912.6
Inferno1527%0.8612.1
Vertigo1436%0.9515.1
Nuke1173%1.1915.9
Ancient944%1.0213.7
Dust2743%0.9815.6
Cache650%1.2618.3

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.

19.6%Headshot accuracy
37.2%Accuracy (enemy spotted)
38.3%Spray accuracy
84.7%Counter-strafing
8.8°Preaim
545msReaction time
38.4%T opening success
20.1%CT opening success
0.43Enemies flashed / flash
5.7%Flash assists
5.37HE damage / grenade
15.47Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4261 — below the 0.5 mark we flag

    Grenade Lineups
  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 38.4497% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno16–120.0119%21 Sept
ancient11–13-0.0624%21 Sept
ancient13–4-0.0225%20 Sept
cache13–60.0227%20 Sept
dust216–140.0318%20 Sept
nuke16–14-0.0128%20 Sept
anubis15–15-0.0314%20 Sept
nuke13–110.0323%20 Sept
mirage13–20.0322%20 Sept
train13–80.069%19 Sept
cache12–120.0820%19 Sept
ancient10–13-0.0414%19 Sept
ancient13–90.0215%15 Sept
cache13–110.0114%13 Sept
ancient5–13-0.0311%13 Sept
cache13–9-0.0510%12 Sept
mirage13–100.0224%12 Sept
ancient3–13-0.0326%12 Sept
anubis13–16-0.0326%12 Sept
vertigo2–13-0.0424%12 Sept
mirage11–13-0.0021%12 Sept
dust27–13-0.0830%12 Sept
inferno16–130.0524%10 Sept
dust23–13-0.0436%9 Sept
cache4–13-0.0111%9 Sept
anubis8–130.0318%7 Sept
dust213–50.1116%7 Sept
inferno4–13-0.017%7 Sept
nuke5–13-0.0123%7 Sept
mirage11–13-0.0113%7 Sept
ancient10–13-0.0424%7 Sept
mirage13–8-0.0211%6 Sept
nuke13–50.0516%6 Sept
mirage13–50.077%6 Sept
cache13–30.0513%6 Sept
ancient13–80.0026%6 Sept
ancient16–140.0412%6 Sept
ancient15–15-0.039%6 Sept
cache11–13-0.0320%5 Sept
anubis11–13-0.0010%5 Sept
dust27–13-0.0710%5 Sept
ancient12–12-0.0621%4 Sept
dust213–40.0619%4 Sept
mirage13–9-0.0112%4 Sept
nuke13–4-0.0237%3 Sept
dust211–130.0616%3 Sept
dust213–80.0925%2 Sept
cache12–16-0.0127%2 Sept
dust213–50.0332%31 Aug
mirage9–13-0.0328%31 Aug
ancient13–100.0221%30 Aug
nuke10–130.0323%30 Aug
cache9–13-0.0216%30 Aug
nuke11–130.0024%30 Aug
mirage10–13-0.0020%29 Aug
anubis6–13-0.0716%29 Aug
cache10–13-0.0312%29 Aug
nuke4–13-0.0318%29 Aug
anubis11–130.0114%29 Aug
dust28–13-0.0325%27 Aug
dust213–9-0.0017%26 Aug
anubis13–8-0.0123%26 Aug
inferno13–60.0018%26 Aug
nuke13–2-0.0214%25 Aug
nuke4–3-0.1033%25 Aug
dust213–7-0.0515%24 Aug
inferno13–80.0419%24 Aug
mirage13–8-0.0211%24 Aug
inferno13–100.0230%24 Aug
anubis13–110.0324%23 Aug
cache8–13-0.0511%23 Aug
anubis9–13-0.0521%23 Aug
inferno5–13-0.0528%23 Aug
ancient13–50.0239%23 Aug
cache9–13-0.0321%23 Aug
dust22–13-0.0610%23 Aug
mirage13–90.0218%22 Aug
ancient16–120.0119%22 Aug
dust211–130.0219%22 Aug
mirage8–13-0.0347%22 Aug
inferno13–110.0118%22 Aug
nuke13–110.0126%22 Aug
cache13–9-0.0115%22 Aug
inferno12–120.0026%22 Aug
nuke9–130.0121%15 Aug
train13–50.0326%15 Aug
train9–13-0.0217%14 Aug
mirage10–13-0.0325%9 Aug
cache13–20.0427%9 Aug
mirage13–8-0.0321%9 Aug
nuke13–60.0925%9 Aug
dust211–13-0.0724%8 Aug
cache13–90.0316%8 Aug
mirage7–13-0.0314%1 Aug
nuke9–130.0142%1 Aug
mirage13–40.0327%1 Aug
dust213–4-0.070%1 Aug
dust213–90.0217%1 Aug
mirage4–130.0628%27 Jul
cache7–130.0023%27 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →