TiX

TiX — CS2 Stats

76561198002318453[U:1:42052725]Steam profile ↗✓ No bans

826Tracked matches47%Win rate2020Tracked since
CSDB Rating4.4 DevelopingClutch Specialist
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 826 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,261 +922 24 Oct – 1 May · 24 days played
10,29412,166peak 12,16624 Oct1 May
12,489Peak Premier in tracked matches
40Days played since 2025-10-24

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

Performance scores

Aim48
Positioning46
Utility46

0–100 skill scores via Leetify.

Recent form

HOT45–52–3Last 10045%Win rateWWWWLWWLWW

Last 10 vs previous 10: +60pp win rate · +0.04 avg rating · −1.2pp headshot accuracy · +50ms reaction

Win rate up 60pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 697ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 683ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 658ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim4.8
Utility4.6
Positioning4.6
Opening Duels3.5
Clutch6.2

Strong CT-side openerLimited 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

jL

Plays most like jL 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 52% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 677ms 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

Aim4.8
Positioning4.6
Utility4.6
Mechanics4.6
Opening Duels2.8
Win Impact3.9

Composite 4.4/10 (Developing), 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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time688ms−70ms
first ⅓ avg 758ms → last ⅓ avg 688ms
Headshot accuracy16.8%−1.3%
first ⅓ avg 18.1% → last ⅓ avg 16.8%

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

0.12Best match rating · 13–6 · inferno, 4 Mar →
50%Best headshot accuracy · 1–13 · mirage, 10 Jan →
414msFastest reaction time · 13–9 · dust2, 29 Aug →
13–4Biggest win · mirage, 23 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
7–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 86% over 7infernoWeakest map · 36% over 25
MapGradePlayedRecordWin rateAvg rating
infernoC259–1636%-0.00
nukeB199–1047%-0.01
mirageC187–1139%0.00
dust2A116–555%-0.02
ancientB115–645%-0.01
overpassS76–186%-0.02
anubisC52–340%-0.03
train—31–233%-0.03
vertigo—10–10%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

308Matches
48%Win rate
0.93Avg K/D
72.7ADR
42%Headshot %

Clutches & streaks

51%1v1 clutch win
19%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno2352%0.8113.7
Mirage2157%1.0115.6
Nuke1040%0.9513.4
Dust2933%0.8112.9
Ancient743%0.9015.0
Overpass450%0.9414.3
Anubis40%0.497.5
Vertigo1100%1.1721.0

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.

17.0%Headshot accuracy
33.3%Accuracy (enemy spotted)
34.8%Spray accuracy
70.7%Counter-strafing
10.1°Preaim
677msReaction time
27.5%T opening success
52.3%CT opening success
0.64Enemies flashed / flash
4.2%Flash assists
11.79HE damage / grenade
4.29Flashes / 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

    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 27.4662% — 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.

36% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–90.0212%6 Sept →
dust213–9-0.0619%29 Aug →
mirage13–110.0421%29 Aug →
mirage13–110.0218%29 Aug →
nuke10–13-0.058%29 Aug →
mirage13–100.109%29 Aug →
inferno13–6-0.0118%29 Aug →
ancient5–130.0320%28 Aug →
anubis13–5-0.0010%28 Aug →
nuke13–100.0215%28 Aug →
mirage9–13-0.0715%28 Aug →
dust28–13-0.0322%24 Aug →
mirage10–13-0.017%24 Aug →
nuke4–130.0022%24 Aug →
ancient7–13-0.0214%24 Aug →
mirage16–130.0017%23 Aug →
inferno2–130.0114%22 Aug →
anubis9–13-0.099%22 Aug →
nuke10–13-0.0033%22 Aug →
nuke13–9-0.079%22 Aug →
dust28–13-0.0225%9 Aug →
inferno8–13-0.0117%27 Jul →
inferno9–13-0.0516%24 Jul →
nuke13–100.0616%1 May →
mirage9–13-0.0026%1 May →
anubis13–80.0221%16 Apr →
nuke13–110.0017%16 Apr →
inferno11–130.0317%16 Apr →
dust29–13-0.0723%23 Mar →
mirage13–4-0.0421%23 Mar →
dust211–13-0.0115%23 Mar →
inferno13–60.0321%5 Mar →
mirage6–13-0.008%4 Mar →
inferno13–60.1214%4 Mar →
anubis10–13-0.0218%3 Mar →
mirage13–50.0525%2 Mar →
nuke13–6-0.0518%2 Mar →
inferno4–13-0.0911%2 Mar →
overpass13–110.0411%21 Feb →
nuke0–9-0.0317%21 Feb →
inferno4–13-0.0412%7 Feb →
dust213–9-0.0321%24 Jan →
dust213–70.0212%24 Jan →
dust216–130.0117%24 Jan →
nuke13–60.0311%23 Jan →
inferno10–13-0.0717%23 Jan →
anubis14–16-0.0519%23 Jan →
ancient6–13-0.0215%22 Jan →
mirage8–130.0715%22 Jan →
ancient14–16-0.0231%10 Jan →
overpass9–13-0.066%10 Jan →
nuke13–4-0.0118%10 Jan →
inferno13–70.027%10 Jan →
nuke15–150.0217%10 Jan →
mirage1–13-0.0550%10 Jan →
ancient13–10-0.0612%10 Jan →
inferno8–13-0.0412%9 Jan →
inferno13–9-0.0310%9 Jan →
inferno6–13-0.0023%5 Jan →
nuke13–80.0012%5 Jan →
inferno13–80.0122%4 Jan →
vertigo8–80.0623%30 Nov →
nuke5–90.0227%30 Nov →
inferno4–9-0.1113%30 Nov →
inferno5–9-0.0717%30 Nov →
nuke10–13-0.0120%29 Nov →
dust25–13-0.0123%28 Nov →
inferno13–90.0614%28 Nov →
overpass13–6-0.037%28 Nov →
overpass13–9-0.0112%28 Nov →
mirage15–15-0.018%26 Nov →
mirage13–100.0115%25 Nov →
ancient13–9-0.0120%25 Nov →
nuke11–130.0020%25 Nov →
ancient9–13-0.0427%25 Nov →
nuke14–16-0.0615%23 Nov →
ancient13–100.0524%23 Nov →
mirage1–13-0.0236%22 Nov →
inferno13–70.1019%21 Nov →
overpass13–50.0419%21 Nov →
nuke13–11-0.0124%21 Nov →
ancient8–13-0.0217%21 Nov →
overpass13–11-0.0621%9 Nov →
inferno10–13-0.0532%9 Nov →
dust213–5-0.0619%8 Nov →
inferno12–16-0.0221%8 Nov →
inferno8–13-0.0016%8 Nov →
mirage11–13-0.0110%8 Nov →
nuke7–13-0.0416%2 Nov →
mirage10–13-0.0623%1 Nov →
inferno8–13-0.0212%1 Nov →
train7–13-0.0418%1 Nov →
ancient16–13-0.0125%29 Oct →
train11–13-0.0714%29 Oct →
train13–80.0136%29 Oct →
mirage7–130.0121%25 Oct →
inferno13–60.0910%25 Oct →
overpass13–5-0.068%25 Oct →
ancient13–11-0.044%25 Oct →
inferno13–160.0112%24 Oct →

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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