Tezz

Tezz — CS2 Stats

AD76561198065850360[U:1:105584632]Steam profile ↗✓ No bans

2,279Tracked matches41%Win rate2020Tracked since
4,662Hours in CS3Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,279 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. 34 days played since 14 May 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: 21,828 -3,052 14 May2 Jul · 17 days played
21,82825,920peak 25,92014 May2 Jul
Faceit ELO: 2,063 +0 28 Aug1 Sept · 2 observations
2,0632,063peak 2,06328 Aug1 Sept
25,920Peak Premier in tracked matches
2,063Highest Faceit ELO seen on CSDB
34Days played since 2026-05-14

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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=13,115), 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 rate40.3%46.8%48.3%8.0% short
Shot accuracy12.3%13.0%13.2%0.9% short
Kill/death ratio0.911.061.070.16 short
Match win rate46.7%46.3%46.9%meets

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.GGTezzFACEITLevel 8STANDINGTop 31.2% of rankedPEAK ELO2,063csdb.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

Aim60
Positioning53
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY46522Last 10046%Win rateLLWWWLWWTL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −0.8pp headshot accuracy · −45ms 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

  • 32 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 594ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 565ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 588ms

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 (+1.6 against its own average).

Aim6.0
Utility6.2
Positioning5.3
Opening Duels3.5
Clutch3.4

Strong CT-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

jL

Plays most like jL 81% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 53% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim6.0
Positioning5.3
Utility6.2
Mechanics5.8
Opening Duels2.9
Win Impact2.1

Composite 5.2/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time590ms+23ms
first ⅓ avg 567ms → last ⅓ avg 590ms
Headshot accuracy15.1%−1.0%
first ⅓ avg 16.1% → last ⅓ avg 15.1%

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

0.15Best match rating · 6–0 · nuke, 18 May
46%Best headshot accuracy · 2–13 · mirage, 16 May
383msFastest reaction time · 8–13 · inferno, 11 Jun
13–1Biggest win · inferno, 14 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
79In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 56% over 18ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C25101540%-0.02
mirageB20101050%-0.02
infernoA1810856%-0.01
anubisB178947%-0.02
ancientC83538%-0.01
nukeC52340%0.01
vertigo32167%0.02
cache2020%0.01
overpass21150%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,765Lifetime kills
0.91K/D
5,360Matches
46.7%Match win rate · Top 50% of Level 8 players
40.3%Headshot %
12.3%Shot accuracy
12,213MVPs
2,386Hours (in match)
5,339Bombs planted
1,674Bombs defused

Most-used weapons

AK-4738,754
AWP17,927
Knife1,453
P2501,380
MP91,129

Lifetime map wins

11,562inferno
9,550dust2
2,084nuke
1,738vertigo
1,051cbble
993train
56office
53lake

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

Faceit stats

Combat

1,607Matches
51%Win rate
0.99Avg K/D
75.4ADR
37%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis8753%0.9214.6
Mirage8553%1.0714.8
Inferno8555%1.1115.1
Dust25050%0.8613.7
Ancient4042%0.9213.9
Vertigo1540%1.0314.9
Nuke812%1.0316.4
Overpass888%0.9113.5

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.

14.1%Headshot accuracy
32.6%Accuracy (enemy spotted)
38.9%Spray accuracy
76.3%Counter-strafing
10.0°Preaim
585msReaction time
26.9%T opening success
52.9%CT opening success
0.59Enemies flashed / flash
5.1%Flash assists
8.52HE damage / grenade
15.48Flashes / 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 14.1379% — below the 15% mark we flag

    Aim Training
  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 26.9461% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache6–130.0820%23 Jul
mirage6–130.0319%23 Jul
mirage13–9-0.0217%22 Jul
ancient16–14-0.0212%22 Jul
mirage13–90.0010%21 Jul
cache7–13-0.067%21 Jul
dust213–30.0020%21 Jul
dust213–50.036%21 Jul
dust215–15-0.0513%20 Jul
inferno17–19-0.0110%20 Jul
mirage10–13-0.0313%17 Jul
inferno13–80.0418%17 Jul
anubis10–13-0.0512%17 Jul
inferno11–13-0.0212%17 Jul
mirage11–13-0.0522%16 Jul
anubis13–7-0.0216%16 Jul
inferno16–13-0.0611%16 Jul
ancient10–13-0.0310%16 Jul
anubis7–13-0.0515%15 Jul
inferno13–60.0215%15 Jul
ancient11–13-0.0213%15 Jul
dust24–13-0.0218%14 Jul
inferno13–10.0328%14 Jul
inferno10–130.015%13 Jul
mirage9–13-0.1015%9 Jul
anubis9–13-0.0117%9 Jul
inferno13–70.0132%8 Jul
dust28–13-0.0615%8 Jul
mirage13–4-0.047%8 Jul
nuke4–13-0.027%2 Jul
dust28–13-0.0220%30 Jun
anubis9–13-0.0119%30 Jun
dust213–5-0.0323%30 Jun
ancient9–13-0.0211%25 Jun
dust212–16-0.0322%25 Jun
ancient7–13-0.072%24 Jun
dust216–14-0.0313%24 Jun
anubis13–8-0.0222%22 Jun
dust213–6-0.026%22 Jun
mirage13–20.0213%22 Jun
mirage16–120.0314%21 Jun
inferno13–8-0.038%21 Jun
inferno9–13-0.0616%21 Jun
ancient13–80.0010%21 Jun
mirage9–130.016%21 Jun
ancient9–13-0.017%21 Jun
dust213–6-0.036%20 Jun
dust25–13-0.066%20 Jun
anubis22–20-0.049%20 Jun
inferno11–13-0.0613%16 Jun
dust22–13-0.0231%15 Jun
inferno10–13-0.0021%13 Jun
mirage13–8-0.068%13 Jun
mirage4–13-0.0810%11 Jun
dust213–11-0.0116%11 Jun
dust25–13-0.0321%11 Jun
dust24–130.0227%11 Jun
inferno8–13-0.0519%11 Jun
anubis13–80.0322%10 Jun
nuke13–90.0330%10 Jun
overpass8–130.0121%10 Jun
nuke6–13-0.0322%10 Jun
vertigo13–90.0727%4 Jun
vertigo2–13-0.0617%3 Jun
vertigo13–110.0423%3 Jun
mirage13–80.0012%3 Jun
anubis13–60.0024%2 Jun
anubis12–12-0.0315%2 Jun
nuke1–13-0.0815%27 May
mirage11–13-0.0413%20 May
anubis14–16-0.0317%20 May
anubis6–13-0.0410%19 May
dust29–13-0.017%19 May
inferno13–10-0.0114%18 May
dust213–10.015%18 May
overpass13–110.0615%18 May
nuke6–00.1533%18 May
dust29–13-0.0219%18 May
anubis13–50.0523%17 May
mirage9–130.0015%17 May
inferno13–8-0.0010%17 May
mirage13–7-0.0119%17 May
dust213–10.0524%17 May
anubis13–100.009%17 May
inferno13–50.0218%16 May
inferno10–13-0.0515%16 May
mirage2–130.0246%16 May
mirage11–13-0.0217%16 May
anubis13–100.0421%16 May
dust213–11-0.038%16 May
mirage13–80.0116%16 May
anubis4–13-0.0320%16 May
dust29–13-0.0421%15 May
dust22–13-0.100%15 May
mirage13–5-0.0111%15 May
dust211–13-0.0623%15 May
anubis10–13-0.109%14 May
dust29–13-0.0125%14 May
inferno13–80.047%14 May
ancient13–20.0811%14 May

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 →