PyTeX

PyTeX — CS2 Stats

76561198283405489[U:1:323139761]Steam profile ↗✓ No bans

4,377Tracked matches72%Win rate2020Tracked since
CSDB Rating7.8 StrongPositional Player
Premier CS Rating26,730Top 5% of 212,910 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#7919 of 259662 tracked
FaceitLevel 10 · 3,078 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 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.

Rating over time

Premier CS Rating: 26,730 -2,603 16 Mar – 2 Nov · 22 days played
17,87129,588peak 29,58816 Mar2 Nov
30,467Peak Premier in tracked matches
3,078Highest Faceit ELO seen on CSDB
51Days played since 2026-03-16

Faceit ELO

  • At peak — 3,078
  • Next: 3,500 ELO at 3,500 — 422 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-09-13
  • 2,500 ELO first seen 2026-09-13

Premier CS Rating

  • 2,858 below peak (29,588)
  • +1,816 over 30 days · improving
  • Next: Gold band at 30,000 — 3,270 to go
  • Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGPyTeXFACEITLevel 10 · 3,078 ELOSTANDINGTop 12.4% of rankedPREMIER26,730 · Red bandPEAK ELO3,078csdb.gg/stats

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Performance scores

Aim91
Positioning68
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY59–40–1Last 10059%Win rateLWWLLWWWLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −0.5pp headshot accuracy · +96ms reaction

Win rate down 20pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 522ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 551ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 503ms

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

Aim9.1
Utility5.1
Positioning6.8
Opening Duels4.8
Clutch4.6

Sharp aimer

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 92% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim9.1
Positioning6.8
Utility5.1
Mechanics6.9
Opening Duels5.2
Win Impact10.0

Composite 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.04
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time501ms−68ms
first ⅓ avg 568ms → last ⅓ avg 501ms
Headshot accuracy21.7%+1.0%
first ⅓ avg 20.6% → last ⅓ avg 21.7%

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

0.24Best match rating · 13–6 · inferno, 21 Aug →
55%Best headshot accuracy · 3–13 · anubis, 19 Mar →
359msFastest reaction time · 1–6 · office, 8 Sept →
13–0Biggest win · mirage, 25 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 75% over 12cacheWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA3321–1264%0.03
ancientB2111–1052%0.00
anubisA127–558%0.02
infernoS129–375%0.04
dust2A95–456%0.00
cacheC52–340%0.05
nuke—42–250%0.00
overpass—21–150%0.04
office—10–10%-0.07
vertigo—11–0100%0.08

Across the last 100 tracked matches.

Faceit stats

Combat

4,288Matches
52%Win rate
1.17Avg K/D
83.0ADR
50%Headshot %

Clutches & streaks

43%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage56154%1.2316.5
Ancient34254%1.1416.7
Anubis29453%1.1516.0
Inferno25257%1.2316.9
Dust214143%1.0315.8
Overpass9348%1.1816.3
Vertigo6453%1.0514.9
Cache1662%1.0715.2

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.

20.7%Headshot accuracy
40.7%Accuracy (enemy spotted)
40.1%Spray accuracy
81.2%Counter-strafing
7.2°Preaim
502msReaction time
45.1%T opening success
56.3%CT opening success
0.55Enemies flashed / flash
7.2%Flash assists
9.90HE damage / grenade
6.06Flashes / match

Recommended for you

Spend your practice time on Cache

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0119%2 Nov →
ancient8–2-0.0224%2 Nov →
anubis16–13-0.0124%2 Nov →
ancient10–130.0820%1 Nov →
mirage11–130.0421%24 Oct →
anubis13–100.1616%24 Oct →
ancient13–50.0214%24 Oct →
mirage13–60.0223%10 Oct →
mirage1–13-0.0918%10 Oct →
anubis13–6-0.0033%10 Oct →
mirage13–60.0430%10 Oct →
cache13–50.0918%10 Oct →
ancient13–70.0332%10 Oct →
mirage15–15-0.0421%10 Oct →
dust213–7-0.0223%10 Oct →
ancient13–3-0.0220%2 Oct →
mirage13–9-0.0015%30 Sept →
inferno16–120.0813%29 Sept →
inferno13–30.0319%22 Sept →
office1–6-0.0725%8 Sept →
inferno9–70.0450%31 Aug →
cache6–130.0627%31 Aug →
cache16–120.0722%31 Aug →
mirage13–110.1520%21 Aug →
inferno13–60.2428%21 Aug →
mirage13–50.2221%21 Aug →
ancient13–11-0.029%18 Aug →
mirage7–130.1024%7 Aug →
mirage13–70.1019%2 Aug →
mirage13–70.0819%30 Jul →
dust21–13-0.0516%25 Jul →
mirage13–70.1019%12 Jul →
cache8–130.0416%12 Jul →
mirage9–20.1311%12 Jul →
dust213–110.0623%12 Jul →
ancient6–13-0.0316%6 Jul →
nuke13–90.0125%3 Jul →
ancient9–130.0017%3 Jul →
mirage11–13-0.0125%1 Jul →
overpass7–13-0.0220%28 Jun →
ancient11–13-0.0215%23 Jun →
overpass13–110.0920%22 Jun →
anubis6–13-0.0320%17 Jun →
mirage12–16-0.057%23 May →
cache13–160.0121%21 May →
mirage10–130.0325%3 May →
ancient10–13-0.0022%1 May →
inferno13–20.018%1 May →
ancient5–130.0318%29 Apr →
ancient13–10-0.1020%28 Apr →
mirage13–100.1325%26 Apr →
nuke3–13-0.0230%19 Apr →
mirage13–70.0515%18 Apr →
inferno13–60.0222%16 Apr →
dust24–13-0.0538%11 Apr →
inferno13–70.0818%11 Apr →
mirage13–90.0412%11 Apr →
ancient10–130.1019%11 Apr →
anubis13–110.1612%11 Apr →
dust213–80.0420%10 Apr →
inferno13–40.0112%9 Apr →
ancient13–40.0825%8 Apr →
mirage13–6-0.0126%8 Apr →
ancient12–16-0.0316%5 Apr →
inferno13–70.0431%5 Apr →
mirage13–9-0.0025%5 Apr →
mirage0–130.000%5 Apr →
vertigo13–20.0812%4 Apr →
dust213–70.0935%2 Apr →
mirage13–11-0.0221%2 Apr →
anubis13–80.1026%2 Apr →
dust213–16-0.0025%2 Apr →
inferno11–130.0422%31 Mar →
ancient16–14-0.0118%30 Mar →
mirage5–13-0.0428%28 Mar →
anubis10–13-0.0513%26 Mar →
anubis16–120.0016%26 Mar →
dust212–160.0217%25 Mar →
mirage13–00.0220%25 Mar →
inferno4–13-0.0421%25 Mar →
anubis11–130.0011%21 Mar →
mirage1–13-0.0613%21 Mar →
anubis3–13-0.0455%19 Mar →
ancient0–13-0.0627%19 Mar →
mirage10–13-0.130%18 Mar →
ancient7–13-0.019%18 Mar →
anubis6–130.0010%18 Mar →
ancient8–00.0235%18 Mar →
nuke13–40.0320%18 Mar →
mirage13–10.1313%18 Mar →
mirage13–90.0014%18 Mar →
anubis13–6-0.0115%17 Mar →
ancient13–2-0.0123%17 Mar →
mirage13–50.0921%17 Mar →
mirage10–130.0819%17 Mar →
inferno5–13-0.0619%17 Mar →
ancient13–30.0512%17 Mar →
mirage13–7-0.0131%16 Mar →
dust213–7-0.0614%16 Mar →
mirage13–00.0250%16 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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