wiz

wiz — CS2 Stats

76561198008580933[U:1:48315205]Steam profile ↗✓ No bans

3,630Tracked matches52%Win rate2020Tracked since
12,904Hours in CS44Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating17,347Purple band · top ~19.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 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: 17,347 +489 2 Sept – 5 Nov · 28 days played
15,00020,763peak 20,7632 Sept5 Nov
Faceit ELO: 1,463 +0 2 Sept – 9 Sept · 3 observations
1,4631,463peak 1,4632 Sept9 Sept
20,763Peak Premier in tracked matches
1,463Highest Faceit ELO seen on CSDB
25Days played since 2026-09-02

Premier CS Rating

  • 3,416 below peak (20,763)
  • -623 over 30 days · declining
  • Next: Pink band at 20,000 — 2,653 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate29.3%44.4%46.9%17.6% short
Shot accuracy14.8%11.9%13.0%above
Kill/death ratio0.951.031.080.13 short
Match win rate46.1%45.2%46.7%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGwizPREMIER17,347 · Purple bandPEAK ELO1,463csdb.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

Aim80
Positioning73
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWWLWLLWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +10.2pp headshot accuracy · +132ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 651ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 609ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 543ms

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 (+2.8 against its own average).

Aim8.0
Utility1.6
Positioning7.3
Opening Duels5.6
Clutch3.4

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 70% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

T openings. 61% T opening-duel success — entries that actually open the round.

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

Aim8.0
Positioning7.3
Utility1.6
Mechanics5.3
Opening Duels7.1
Win Impact5.6

Composite 6.2/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time515ms+17ms
first ⅓ avg 498ms → last ⅓ avg 515ms
Headshot accuracy18.9%−4.2%
first ⅓ avg 23.2% → last ⅓ avg 18.9%

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

0.13Best match rating · 13–8 · ancient, 28 Oct →
64%Best headshot accuracy · 13–5 · anubis, 17 Oct →
344msFastest reaction time · 16–14 · inferno, 11 Oct →
13–2Biggest win · dust2, 13 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–6In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 69% over 16nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%0.01
infernoB199–1047%0.02
anubisS1611–569%-0.00
mirageB137–654%-0.01
ancientC104–640%0.01
cacheS96–367%0.02
nukeD72–529%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

306,052Lifetime kills
0.95K/D
16,398Matches
46.1%Match win rate · Top 50% of Purple band
29.3%Headshot %
14.8%Shot accuracy · Top 50% of Purple band
41,698MVPs
7,467Hours (in match)
23,084Bombs planted
3,862Bombs defused

Most-used weapons

AWP164,976
AK-4731,703
Glock-1816,597
MAC-107,498
MP97,230
P905,224
P2504,618

Lifetime map wins

50,391dust2
34,243inferno
9,889nuke
5,070train
3,635cbble
1,335vertigo
373dust
156aztec

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

Faceit stats

Combat

1,737Matches
50%Win rate
1.06Avg K/D
73.1ADR
28%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno13851%1.1616.5
Mirage12147%1.0415.2
Ancient11358%1.1515.7
Dust210349%1.0916.9
Anubis8841%1.0115.3
Nuke4641%1.0616.0
Vertigo2348%0.8211.6
Overpass1060%1.1817.0

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.

18.4%Headshot accuracy
38.3%Accuracy (enemy spotted)
38.0%Spray accuracy
74.0%Counter-strafing
8.7°Preaim
520msReaction time
61.2%T opening success
55.7%CT opening success
0.27Enemies flashed / flash
1.6%Flash assists
9.18HE damage / grenade
0.98Flashes / 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. 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 0.272 — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–16-0.0312%5 Nov →
dust213–4-0.0116%5 Nov →
nuke13–60.0314%5 Nov →
dust27–130.0129%4 Nov →
dust213–40.0444%4 Nov →
dust27–130.0122%4 Nov →
mirage8–13-0.0715%2 Nov →
cache13–80.0323%2 Nov →
mirage13–100.0650%1 Nov →
cache7–130.0414%1 Nov →
cache9–13-0.0119%1 Nov →
dust213–100.0222%1 Nov →
dust213–50.044%1 Nov →
cache13–100.0513%1 Nov →
inferno13–90.0216%1 Nov →
dust25–130.0110%1 Nov →
inferno13–100.0218%1 Nov →
nuke11–130.0310%1 Nov →
cache13–50.0612%1 Nov →
inferno8–130.0816%1 Nov →
inferno13–70.0613%1 Nov →
mirage9–130.0616%1 Nov →
inferno13–9-0.0329%31 Oct →
dust211–130.0528%31 Oct →
inferno15–15-0.069%31 Oct →
dust26–13-0.0117%31 Oct →
dust213–90.0814%31 Oct →
inferno4–130.0522%31 Oct →
dust210–130.1112%31 Oct →
mirage13–110.0319%31 Oct →
anubis4–13-0.0714%30 Oct →
nuke11–13-0.0335%30 Oct →
anubis13–100.0118%30 Oct →
ancient9–130.0010%30 Oct →
mirage13–16-0.0827%29 Oct →
dust213–7-0.0322%28 Oct →
ancient13–80.1332%28 Oct →
anubis3–13-0.0733%27 Oct →
anubis13–7-0.0214%27 Oct →
dust210–130.0233%27 Oct →
ancient14–16-0.089%26 Oct →
mirage13–11-0.0513%26 Oct →
mirage8–130.0119%26 Oct →
nuke11–130.0332%26 Oct →
ancient3–13-0.0220%25 Oct →
dust24–13-0.0550%25 Oct →
dust213–10-0.0414%25 Oct →
mirage13–100.0436%25 Oct →
dust20–13-0.0325%25 Oct →
ancient13–110.0417%25 Oct →
inferno11–13-0.086%24 Oct →
anubis15–150.0115%24 Oct →
anubis13–90.0218%24 Oct →
ancient13–70.0729%24 Oct →
nuke15–15-0.0217%24 Oct →
dust210–13-0.0314%24 Oct →
inferno16–120.0814%24 Oct →
dust213–70.0421%24 Oct →
dust28–13-0.0617%22 Oct →
inferno13–110.0424%22 Oct →
dust213–90.0016%22 Oct →
anubis3–13-0.1010%21 Oct →
dust213–30.0036%21 Oct →
ancient12–160.0123%21 Oct →
anubis13–70.0631%20 Oct →
dust26–130.0529%19 Oct →
anubis13–110.0619%19 Oct →
nuke8–13-0.074%18 Oct →
dust213–90.1123%18 Oct →
inferno10–130.0218%18 Oct →
anubis13–80.0814%18 Oct →
dust213–160.0118%18 Oct →
mirage13–11-0.0533%17 Oct →
inferno15–150.0842%17 Oct →
inferno13–16-0.0024%17 Oct →
inferno7–13-0.0214%17 Oct →
anubis13–50.0364%17 Oct →
mirage6–13-0.0333%17 Oct →
ancient7–13-0.0711%16 Oct →
dust25–13-0.0317%16 Oct →
cache13–11-0.0211%15 Oct →
cache6–13-0.027%15 Oct →
anubis16–130.0424%14 Oct →
cache13–90.0531%14 Oct →
inferno6–13-0.0023%13 Oct →
dust213–20.0820%13 Oct →
mirage13–6-0.0127%13 Oct →
mirage5–13-0.0343%12 Oct →
inferno8–130.0314%12 Oct →
mirage13–100.0216%12 Oct →
cache13–50.048%12 Oct →
inferno13–100.0524%12 Oct →
ancient13–70.038%12 Oct →
ancient6–130.0050%12 Oct →
nuke13–7-0.0131%11 Oct →
anubis13–11-0.0420%11 Oct →
anubis16–13-0.0114%11 Oct →
inferno16–140.035%11 Oct →
inferno16–12-0.0520%10 Oct →
anubis13–9-0.0156%10 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.