Tixuli

Tixuli — CS2 Stats

FI76561198729238637[U:1:768972909]Steam profile ↗✓ No bans

215Tracked matches59%Win rate2026Tracked since
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating14,678Blue band · top ~30.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 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.

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. 41 days played since 29 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,678 +5,193 29 May20 Sept · 32 days played
7,14515,472peak 15,47229 May20 Sept
15,896Peak Premier in tracked matches
41Days played since 2026-05-29

Premier CS Rating

  • 794 below peak (15,472)
  • +52 over 30 days · steady
  • +7,077 over 90 days
  • Next: Purple band at 15,000 322 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGTixuliPREMIER14,678 · Blue bandcsdb.gg/stats

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Performance scores

Aim50
Positioning43
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY55432Last 10055%Win rateWWLWLWWLLW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +3.3pp headshot accuracy · +44ms 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

  • 32 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 562ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 598ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 576ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim5.0
Utility3.0
Positioning4.3
Opening Duels1.2

Limited utility dependence

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 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 586ms 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

Aim5.0
Positioning4.3
Utility3.0
Mechanics5.0
Opening Duels1.3
Win Impact7.9

Composite 4.3/10 (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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time593ms−33ms
first ⅓ avg 626ms → last ⅓ avg 593ms
Headshot accuracy9.8%−1.4%
first ⅓ avg 11.2% → last ⅓ avg 9.8%

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

0.19Best match rating · 9–3 · inferno, 15 Jul
26%Best headshot accuracy · 4–0 · ancient, 29 May
375msFastest reaction time · 10–13 · nuke, 5 Aug
13–0Biggest win · dust2, 4 Aug

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
64In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 87% over 15infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientB2091145%-0.04
nukeS1611569%-0.01
anubisS1513287%-0.02
mirageA127558%-0.02
dust2A116555%-0.03
cacheD93633%-0.04
infernoD61517%-0.02
overpassD51420%-0.02
train32167%-0.02
vertigo21150%-0.05
debris110100%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.8%Headshot accuracy
33.9%Accuracy (enemy spotted)
40.4%Spray accuracy
72.4%Counter-strafing
11.2°Preaim
586msReaction time
28.2%T opening success
40.3%CT opening success
0.28Enemies flashed / flash
1.6%Flash assists
9.26HE damage / grenade
4.80Flashes / 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 9.8447% — below the 15% mark we flag

    Aim Training
  2. 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 0.2785 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 28.1712% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass9–00.1113%22 Sept
nuke5–0-0.0111%20 Sept
ancient4–130.0416%20 Sept
mirage13–40.0119%20 Sept
ancient3–13-0.1216%14 Sept
ancient13–9-0.0318%10 Sept
nuke13–1-0.030%10 Sept
ancient2–13-0.110%28 Aug
ancient12–16-0.1018%28 Aug
dust213–30.0614%25 Aug
ancient8–13-0.007%21 Aug
nuke8–1-0.0314%21 Aug
ancient10–13-0.0110%20 Aug
inferno7–13-0.049%19 Aug
ancient13–7-0.107%13 Aug
anubis13–60.0210%12 Aug
ancient13–11-0.072%12 Aug
anubis13–3-0.068%12 Aug
mirage13–2-0.047%7 Aug
dust27–13-0.1318%7 Aug
cache9–13-0.0614%7 Aug
anubis13–11-0.058%7 Aug
nuke13–70.1211%7 Aug
inferno11–13-0.023%6 Aug
debris9–7-0.0910%6 Aug
dust213–5-0.017%6 Aug
cache15–15-0.0311%5 Aug
ancient10–13-0.0210%5 Aug
nuke10–13-0.114%5 Aug
dust213–0-0.0112%4 Aug
mirage13–4-0.046%4 Aug
anubis13–20.005%4 Aug
ancient9–13-0.075%30 Jul
cache16–14-0.0211%30 Jul
cache7–13-0.0111%29 Jul
anubis13–8-0.025%28 Jul
nuke2–13-0.086%28 Jul
inferno2–13-0.120%28 Jul
nuke0–13-0.070%28 Jul
anubis4–130.0510%28 Jul
dust20–13-0.070%28 Jul
nuke13–10-0.057%28 Jul
nuke13–9-0.037%28 Jul
ancient13–5-0.0314%26 Jul
cache9–10.052%26 Jul
anubis13–6-0.086%24 Jul
anubis13–9-0.0919%24 Jul
nuke2–130.1311%24 Jul
nuke13–60.0116%21 Jul
cache3–13-0.095%21 Jul
mirage1–13-0.1111%21 Jul
ancient3–13-0.0415%21 Jul
nuke13–3-0.024%21 Jul
dust25–13-0.0513%21 Jul
nuke8–13-0.026%20 Jul
mirage9–13-0.0410%16 Jul
ancient13–10-0.019%16 Jul
mirage7–2-0.0315%16 Jul
mirage13–1-0.0412%16 Jul
dust213–6-0.019%15 Jul
inferno9–30.198%15 Jul
ancient13–70.058%15 Jul
ancient13–11-0.0611%14 Jul
anubis13–20.0310%13 Jul
ancient13–8-0.007%13 Jul
dust27–13-0.0210%13 Jul
cache13–7-0.0719%10 Jul
anubis13–11-0.028%10 Jul
anubis13–70.0215%7 Jul
nuke13–9-0.027%7 Jul
ancient10–13-0.0824%7 Jul
train4–13-0.0910%7 Jul
vertigo1–13-0.049%7 Jul
mirage13–30.048%2 Jul
nuke13–00.016%2 Jul
anubis13–7-0.017%24 Jun
mirage13–00.0611%24 Jun
inferno9–13-0.0614%24 Jun
overpass4–13-0.0915%22 Jun
cache12–12-0.0416%21 Jun
train13–10-0.0112%21 Jun
overpass8–13-0.0519%20 Jun
train13–100.0510%18 Jun
ancient3–130.0119%14 Jun
anubis13–7-0.029%14 Jun
vertigo13–3-0.069%12 Jun
cache6–13-0.0514%12 Jun
anubis13–20.0011%10 Jun
anubis8–13-0.054%10 Jun
overpass12–16-0.059%10 Jun
dust213–90.039%8 Jun
dust213–3-0.0010%8 Jun
inferno7–13-0.076%4 Jun
overpass11–13-0.039%4 Jun
dust211–13-0.105%2 Jun
mirage8–130.016%2 Jun
mirage11–130.0115%2 Jun
nuke13–5-0.0211%29 May
mirage7–13-0.007%29 May
ancient4–00.0326%29 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →