Tezza J

Tezza J — CS2 Stats

JM76561198853175529[U:1:892909801]Steam profile ↗✓ No bans

2,302Tracked matches39%Win rate2022Tracked since
CSDB Rating3.4 LearningPositional Player
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,302 tracked matches. 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. 51 days played since 2 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,000 -78 11 Nov18 Nov · 2 days played
15,00015,078peak 15,07811 Nov18 Nov
Faceit ELO: 1,236 +0 9 Sept13 Sept · 2 observations
1,2361,236peak 1,2369 Sept13 Sept
15,078Peak Premier in tracked matches
1,236Highest Faceit ELO seen on CSDB
51Days played since 2025-11-02

Faceit ELO

  • At peak — 1,236
  • Next: Level 7 at 1,351 115 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-09
  • Level 5 first seen 2026-09-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGTezza JPEAK ELO1,236csdb.gg/stats

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Performance scores

Aim52
Positioning40
Utility19

0–100 skill scores via Leetify.

Recent form

COLD345313Last 10034%Win rateWTLWLLLTWT

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −3.0pp headshot accuracy · +9ms reaction

Win rate +10pp 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

  • 221 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 699ms

Last 10

  • 343 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 680ms

Last 20

  • 587 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 675ms

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 (+1.2 against its own average).

Aim5.2
Utility1.9
Positioning4.0
Opening Duels2.5
Clutch2.8

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

donk

Plays most like donk 90% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

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

Reaction time. 700ms 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

Aim5.2
Positioning4.0
Utility1.9
Mechanics5.4
Opening Duels1.9
Win Impact1.4

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time715ms−7ms
first ⅓ avg 722ms → last ⅓ avg 715ms
Headshot accuracy18.0%−7.3%
first ⅓ avg 25.3% → last ⅓ avg 18.0%

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

0.10Best match rating · 6–13 · ancient, 16 Feb
48%Best headshot accuracy · 8–13 · nuke, 23 Nov
484msFastest reaction time · 2–13 · vertigo, 11 Nov
13–1Biggest win · nuke, 3 Dec

Across the last 100 tracked matches.

Highlights

3Longest win streak
55In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 42% over 33infernoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
vertigoC39152438%-0.01
nukeC33141942%-0.02
infernoD5050%-0.07
cache31233%-0.05
overpass3030%-0.00
ancient3030%0.03
anubis31233%-0.02
alpine21150%-0.04
warden2020%-0.09
dust221150%0.00
rooftop2020%-0.06
shelter110100%-0.02
mirage1010%-0.02
stronghold1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

306Matches
51%Win rate
0.76Avg K/D
69.8ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
16%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient7847%0.8013.4
Mirage4947%0.7012.2
Vertigo3667%0.8513.5
Inferno3355%0.8313.9
Nuke2952%0.7112.4
Anubis2654%0.8012.8
Train862%0.8413.4
Dust2714%0.498.3

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.

18.6%Headshot accuracy
35.7%Accuracy (enemy spotted)
36.8%Spray accuracy
74.5%Counter-strafing
11.6°Preaim
700msReaction time
31.8%T opening success
43.4%CT opening success
0.30Enemies flashed / flash
4.4%Flash assists
5.54HE damage / grenade
2.31Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 700.1705ms — above the 700ms 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 0.3017 — 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 31.8177% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
shelter13–7-0.0226%8 Jul
cache12–12-0.0611%6 Jul
overpass3–13-0.0615%29 Jun
cache13–6-0.0313%8 Jun
vertigo9–13-0.0121%3 Jun
cache7–13-0.0721%5 May
nuke9–13-0.0419%24 Apr
mirage12–12-0.0216%30 Mar
vertigo13–5-0.065%18 Mar
vertigo12–12-0.0624%18 Mar
vertigo6–130.0529%16 Mar
vertigo12–12-0.0413%16 Mar
vertigo13–100.0117%15 Mar
vertigo12–120.0826%15 Mar
vertigo11–130.0218%14 Mar
nuke13–8-0.0114%12 Mar
inferno12–12-0.0117%12 Mar
vertigo3–13-0.038%12 Mar
nuke4–13-0.0829%12 Mar
vertigo12–12-0.0229%11 Mar
nuke6–13-0.1321%5 Mar
vertigo13–6-0.0624%5 Mar
vertigo5–13-0.048%4 Mar
alpine9–13-0.0129%4 Mar
vertigo13–4-0.0610%19 Feb
nuke8–13-0.0715%18 Feb
nuke8–13-0.0714%18 Feb
nuke13–4-0.0828%18 Feb
ancient6–130.1018%16 Feb
nuke13–50.0418%11 Feb
warden11–13-0.0715%8 Feb
vertigo9–13-0.0020%8 Feb
nuke5–13-0.084%8 Feb
nuke13–7-0.0213%5 Feb
nuke13–4-0.048%5 Feb
nuke13–10-0.0224%29 Jan
vertigo12–120.0523%28 Jan
vertigo13–80.0120%28 Jan
nuke9–130.0319%28 Jan
vertigo13–100.0825%28 Jan
anubis14–16-0.0420%27 Jan
warden6–13-0.1111%22 Jan
alpine13–10-0.0738%22 Jan
stronghold5–13-0.0417%22 Jan
vertigo4–13-0.0516%15 Jan
ancient3–13-0.0318%15 Jan
nuke4–13-0.0622%4 Jan
inferno1–13-0.078%4 Jan
nuke13–6-0.0434%1 Jan
nuke13–80.0124%1 Jan
vertigo8–130.0217%31 Dec
nuke3–13-0.0437%31 Dec
nuke7–13-0.0121%31 Dec
vertigo9–13-0.0726%26 Dec
nuke3–13-0.0613%26 Dec
nuke8–13-0.0426%21 Dec
inferno6–9-0.1915%13 Dec
anubis13–11-0.0227%10 Dec
nuke13–60.0432%10 Dec
inferno7–13-0.0217%10 Dec
vertigo7–130.0020%4 Dec
vertigo11–13-0.0717%4 Dec
nuke10–13-0.0128%4 Dec
nuke13–10.0812%3 Dec
nuke13–80.0130%27 Nov
vertigo12–120.0118%26 Nov
vertigo13–60.0519%26 Nov
vertigo13–5-0.0433%26 Nov
ancient12–120.0117%25 Nov
nuke5–13-0.0027%24 Nov
vertigo13–100.0229%24 Nov
dust213–100.0524%23 Nov
anubis7–13-0.0127%23 Nov
vertigo8–13-0.0519%23 Nov
vertigo13–40.0630%23 Nov
nuke8–13-0.0448%23 Nov
nuke7–13-0.0124%23 Nov
rooftop3–9-0.0442%22 Nov
vertigo13–110.0320%22 Nov
nuke13–100.0329%22 Nov
nuke13–70.0224%19 Nov
nuke12–12-0.0329%19 Nov
vertigo3–13-0.1014%19 Nov
inferno7–13-0.0525%18 Nov
nuke13–11-0.0224%17 Nov
nuke10–130.0530%12 Nov
vertigo11–13-0.0123%12 Nov
rooftop3–9-0.0727%11 Nov
overpass2–13-0.0221%11 Nov
overpass6–130.0629%11 Nov
vertigo2–13-0.0829%11 Nov
vertigo2–13-0.0125%11 Nov
vertigo13–110.0321%10 Nov
vertigo13–2-0.0126%10 Nov
vertigo13–11-0.0711%8 Nov
vertigo12–12-0.0726%8 Nov
dust26–13-0.0429%5 Nov
vertigo2–13-0.0616%5 Nov
nuke12–12-0.0415%5 Nov
vertigo13–10-0.0322%2 Nov

Match data via Leetify.

Recent teammates

Milestones

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