Shaz

Shaz — CS2 Stats

76561198201613628[U:1:241347900]Steam profile ↗✓ No bans

722Tracked matches40%Win rate2022Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating19,310Top 50% of 205,052 CSDB-tracked playersPurple band · top ~11.2% of ranked players (population est.)
CSDB Leaderboard#92381 of 252151 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

19,310Peak Premier on CSDB
1,285Highest Faceit ELO seen on CSDB
47Days played since 2026-05-08

Premier CS Rating

  • At peak — 19,310
  • Next: Pink band at 20,000 — 690 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGShazFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER19,310 · Purple bandPEAK ELO1,285csdb.gg/stats

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Performance scores

Aim71
Positioning58
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY44–56Last 10044%Win rateLWWWLLWLLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +4.1pp headshot accuracy · −65ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 530ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 540ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 572ms

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 (+1.6 against its own average).

Aim7.1
Utility3.7
Positioning5.8
Opening Duels3.3
Clutch3.8

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 96% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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. 572ms 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

Aim7.1
Positioning5.8
Utility3.7
Mechanics6.2
Opening Duels3.9
Win Impact1.7

Composite 5.3/10 (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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time584ms−49ms
first ⅓ avg 633ms → last ⅓ avg 584ms
Headshot accuracy15.1%−3.4%
first ⅓ avg 18.5% → 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

0.12Best match rating · 13–0 · cache, 5 Oct →
38%Best headshot accuracy · 13–8 · ancient, 20 Aug →
422msFastest reaction time · 13–7 · ancient, 1 Oct →
13–0Biggest win · cache, 5 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–11In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 60% over 5nukeWeakest map · 25% over 20
MapGradePlayedRecordWin rateAvg rating
ancientB2814–1450%0.00
anubisB2513–1252%-0.00
nukeD205–1525%-0.00
cacheB157–847%-0.00
vertigoC52–340%0.01
infernoA53–260%0.03
dust2—10–10%-0.00
overpass—10–10%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

412Matches
51%Win rate
1.13Avg K/D
79.1ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient10556%1.1716.1
Anubis10254%1.1015.2
Nuke7649%1.1215.8
Cache3554%1.2116.3
Inferno3441%1.0114.5
Mirage2646%1.2614.7
Dust21338%1.0013.2
Vertigo1233%1.0516.3

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.

14.2%Headshot accuracy
36.5%Accuracy (enemy spotted)
39.8%Spray accuracy
77.8%Counter-strafing
9.4°Preaim
572msReaction time
44.5%T opening success
47.0%CT opening success
0.42Enemies flashed / flash
4.1%Flash assists
8.26HE damage / grenade
4.39Flashes / 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 14.2424% — 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 0.4222 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

25% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient3–13-0.0517%6 Oct →
cache13–00.1217%5 Oct →
ancient13–70.0925%1 Oct →
anubis13–11-0.0317%1 Oct →
nuke11–13-0.0216%28 Sept →
anubis9–13-0.0313%28 Sept →
cache13–110.0113%28 Sept →
dust212–16-0.0010%25 Sept →
cache5–13-0.0322%23 Sept →
ancient10–13-0.057%23 Sept →
nuke5–13-0.0213%23 Sept →
vertigo16–140.0015%16 Sept →
anubis13–10.050%16 Sept →
inferno8–130.0016%13 Sept →
cache6–130.0516%11 Sept →
cache8–13-0.0518%11 Sept →
cache7–13-0.040%9 Sept →
ancient13–8-0.0016%9 Sept →
inferno13–11-0.009%8 Sept →
cache8–13-0.0213%8 Sept →
nuke10–13-0.017%8 Sept →
nuke11–130.0118%7 Sept →
anubis13–100.0013%7 Sept →
vertigo16–19-0.0517%6 Sept →
anubis19–17-0.0221%6 Sept →
ancient11–130.0120%6 Sept →
nuke13–3-0.0020%6 Sept →
anubis9–13-0.077%6 Sept →
nuke10–13-0.0013%5 Sept →
anubis13–50.0111%5 Sept →
vertigo7–13-0.0019%5 Sept →
nuke3–130.0030%2 Sept →
ancient13–30.0126%2 Sept →
anubis13–4-0.0417%2 Sept →
vertigo5–130.0114%2 Sept →
cache13–110.0226%1 Sept →
ancient4–13-0.175%1 Sept →
anubis5–13-0.0312%29 Aug →
nuke9–130.0512%28 Aug →
nuke6–13-0.0011%28 Aug →
ancient13–11-0.0122%25 Aug →
vertigo13–100.0622%20 Aug →
ancient13–8-0.0038%20 Aug →
cache13–4-0.0218%19 Aug →
inferno13–70.0824%19 Aug →
ancient13–80.0421%19 Aug →
anubis13–40.0926%19 Aug →
ancient11–130.0121%17 Aug →
nuke6–13-0.0317%15 Aug →
ancient13–60.1121%15 Aug →
inferno16–19-0.0020%14 Aug →
nuke14–16-0.0122%13 Aug →
ancient8–13-0.0119%13 Aug →
anubis2–13-0.0223%12 Aug →
ancient10–13-0.0615%12 Aug →
nuke11–130.0326%7 Aug →
nuke13–70.0523%4 Aug →
anubis13–20.0822%3 Aug →
ancient13–100.0219%3 Aug →
ancient14–160.0119%3 Aug →
ancient11–130.0114%2 Aug →
anubis9–130.0019%28 Jul →
cache13–40.0433%28 Jul →
ancient16–140.0226%28 Jul →
nuke3–13-0.0710%27 Jul →
anubis6–13-0.0112%27 Jul →
anubis14–16-0.0220%20 Jul →
ancient13–50.0823%20 Jul →
ancient13–110.0312%20 Jul →
nuke2–13-0.0717%19 Jul →
anubis2–13-0.0131%9 Jul →
ancient13–80.0514%9 Jul →
anubis13–30.0322%9 Jul →
nuke13–40.0617%14 Jun →
overpass9–13-0.0217%14 Jun →
ancient13–50.0227%14 Jun →
anubis13–90.0120%11 Jun →
nuke13–60.0329%11 Jun →
anubis4–13-0.0510%8 Jun →
ancient16–12-0.0214%8 Jun →
anubis4–13-0.0419%8 Jun →
nuke13–30.0210%3 Jun →
anubis13–100.0312%3 Jun →
cache2–13-0.0133%17 May →
ancient7–13-0.0111%17 May →
anubis16–140.0018%17 May →
cache13–30.0118%15 May →
ancient14–160.0017%15 May →
ancient8–13-0.0413%14 May →
anubis13–100.0521%14 May →
anubis9–13-0.0412%13 May →
nuke6–130.0022%13 May →
anubis9–13-0.0213%12 May →
nuke11–13-0.059%11 May →
ancient3–13-0.039%11 May →
cache22–200.0217%10 May →
inferno16–130.0531%10 May →
cache3–13-0.1031%10 May →
cache10–13-0.0329%8 May →
ancient9–130.0113%8 May →

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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