wizmon

wizmon — CS2 Stats

76561198264669702[U:1:304403974]Steam profile ↗✓ No bans

789Tracked matches38%Win rate2023Tracked since
478Hours in CS
CSDB Rating3.2 LearningSupport
FaceitLevel 3 · 846 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 846 → 846
+1Tracked matches · now 789
0.0ppWin rate · 37.9% → 37.9%
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. 57 days played since 11 Jun 2025. 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: 6,722 -217 1 Dec14 Jan · 9 days played
6,0867,095peak 7,0951 Dec14 Jan
7,095Peak Premier in tracked matches
846Highest Faceit ELO seen on CSDB
57Days played since 2025-06-11

Faceit ELO

  • At peak — 846
  • Next: Level 4 at 901 55 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-30
  • Level 2 first seen 2026-08-30

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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches10
Win rate0%
K/D0.18
Headshot %67%

Measured 12 Sep 202617 Sep 2026; previous 2 Sep 2026 → 12 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=8,548), 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 3 medianLevel 4 medianvs Level 4
Headshot rate51.7%41.9%42.7%above
Shot accuracy7.4%12.2%11.2%3.8% short
Kill/death ratio0.740.980.990.25 short
Match win rate43.6%43.3%43.9%meets

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGwizmonFACEITLevel 3 · 846 ELOSTANDINGTop 90.6% of rankedPEAK ELO846csdb.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

Aim44
Positioning30
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY38584Last 10038%Win rateLWLLWLLWWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −9.5pp headshot accuracy · +20ms 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

  • 23 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 686ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 680ms

Last 20

  • 7112 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 670ms

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 (+2.3 against its own average).

Aim4.4
Utility4.8
Positioning3.0
Opening Duels0.0
Clutch2.4

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

Twistzz

Plays most like Twistzz 79% playstyle similarity

Most alike: positioning profile, utility contribution.

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 30% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 669ms 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

Aim4.4
Positioning3.0
Utility4.8
Mechanics5.6
Opening Duels0.0
Win Impact1.0

Composite 3.2/10 (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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time669ms−33ms
first ⅓ avg 702ms → last ⅓ avg 669ms
Headshot accuracy17.8%−1.9%
first ⅓ avg 19.7% → last ⅓ avg 17.8%

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 · 9–3 · inferno, 25 May
44%Best headshot accuracy · 1–13 · inferno, 25 Jun
453msFastest reaction time · 13–7 · dust2, 14 Jan
13–1Biggest win · train, 12 Nov

Across the last 100 tracked matches.

Highlights

4Longest win streak
47In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2D2581732%-0.04
infernoB20101050%-0.04
nukeD123925%-0.04
ancientD81713%-0.03
overpassD81713%-0.04
anubisS75271%-0.04
mirageB63350%-0.02
trainS64267%-0.02
office31233%-0.05
sanctum1010%-0.16
poseidon1010%-0.07
warden1010%-0.07
vertigo110100%0.01
italy110100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,834Lifetime kills
0.74K/D
1,185Matches
43.6%Match win rate · Top 50% of Level 3 players
51.7%Headshot % · Top 25% of Level 3 players
7.4%Shot accuracy
1,908MVPs
478Hours (in match)
862Bombs planted
194Bombs defused

Most-used weapons

Lifetime map wins

2,120dust2
2,027inferno
1,337vertigo
1,060nuke
341train
107office
38italy
9stmarc

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

Faceit stats

Combat

74Matches
46%Win rate
0.68Avg K/D
59.2ADR
54%Headshot %

Clutches & streaks

32%1v1 clutch win
7%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1638%0.6810.3
Dust21547%0.6610.7
Anubis1242%0.7810.7
Mirage683%0.8310.3
Nuke633%0.669.3
Train560%0.6511.6
Vertigo250%0.7211.5
Ancient10%0.649.0

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.

17.3%Headshot accuracy
27.4%Accuracy (enemy spotted)
33.8%Spray accuracy
75.1%Counter-strafing
9.8°Preaim
669msReaction time
13.5%T opening success
29.5%CT opening success
0.45Enemies flashed / flash
6.6%Flash assists
8.81HE damage / grenade
6.63Flashes / 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 0.4513 — below the 0.5 mark we flag

    Grenade Lineups
  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 13.5246% — 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.

13% 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
dust25–13-0.116%16 Sept
anubis13–3-0.1315%25 Aug
nuke14–16-0.0220%25 Aug
dust26–13-0.0814%9 Aug
mirage16–120.056%21 Jul
ancient5–13-0.0920%12 Jul
dust22–13-0.108%12 Jul
anubis13–10-0.0820%12 Jul
inferno13–8-0.0219%22 Jun
dust210–13-0.0811%19 Jun
dust24–13-0.0723%2 Jun
anubis8–13-0.0317%2 Jun
anubis13–60.0024%28 May
mirage13–8-0.0227%26 May
overpass8–13-0.0228%25 May
inferno13–8-0.0636%25 May
overpass8–8-0.0128%25 May
sanctum3–9-0.1611%25 May
nuke8–80.0316%25 May
poseidon5–9-0.0724%25 May
inferno9–30.1320%25 May
inferno4–9-0.1913%4 May
warden12–12-0.0718%18 Apr
dust211–13-0.0513%17 Apr
inferno6–13-0.0819%17 Apr
nuke2–13-0.0621%17 Apr
nuke7–13-0.1023%26 Mar
inferno13–5-0.0118%26 Mar
dust213–7-0.0610%14 Jan
nuke8–13-0.0810%30 Dec
inferno13–6-0.0316%30 Dec
vertigo13–70.0116%23 Dec
dust28–13-0.0621%23 Dec
ancient9–130.0017%22 Dec
overpass9–130.0121%22 Dec
inferno9–13-0.038%21 Dec
dust23–13-0.0617%14 Dec
inferno11–13-0.0216%14 Dec
dust213–9-0.0615%11 Dec
office13–4-0.0320%10 Dec
ancient10–130.0117%9 Dec
office11–13-0.0922%8 Dec
nuke13–30.0434%8 Dec
inferno6–13-0.0320%8 Dec
train11–13-0.0417%7 Dec
overpass10–130.0226%6 Dec
nuke13–7-0.0414%6 Dec
dust213–9-0.0610%6 Dec
train13–30.0614%5 Dec
dust213–110.0219%4 Dec
mirage3–13-0.0913%3 Dec
ancient9–13-0.0420%3 Dec
dust29–13-0.0717%1 Dec
inferno13–7-0.0122%1 Dec
inferno5–13-0.0512%29 Nov
dust213–90.0424%25 Nov
dust213–9-0.0324%24 Nov
inferno13–11-0.0222%24 Nov
inferno13–16-0.0319%19 Nov
dust214–16-0.0317%18 Nov
ancient13–11-0.0119%18 Nov
train13–7-0.0028%18 Nov
ancient1–13-0.0623%17 Nov
inferno13–5-0.0726%17 Nov
train4–13-0.128%17 Nov
dust213–50.1114%17 Nov
mirage4–13-0.0413%17 Nov
inferno13–11-0.0623%16 Nov
ancient8–13-0.0231%16 Nov
overpass13–8-0.0720%16 Nov
train13–1-0.0318%12 Nov
dust213–4-0.068%12 Nov
ancient7–13-0.0721%11 Nov
nuke15–15-0.0323%11 Nov
nuke6–13-0.0513%8 Nov
dust29–13-0.076%8 Nov
train13–80.019%28 Oct
dust26–13-0.0423%28 Oct
overpass6–13-0.0728%21 Jul
office7–13-0.0210%19 Jul
italy13–6-0.0322%19 Jul
overpass13–16-0.0514%19 Jul
overpass7–13-0.1220%17 Jul
dust211–130.0220%17 Jul
nuke13–80.0223%16 Jul
mirage2–13-0.0542%4 Jul
dust23–13-0.0416%3 Jul
anubis10–13-0.049%25 Jun
inferno1–13-0.0644%25 Jun
dust29–13-0.0618%22 Jun
inferno5–13-0.0625%22 Jun
dust212–16-0.0411%20 Jun
nuke8–13-0.0417%20 Jun
anubis13–80.0318%19 Jun
inferno22–18-0.0418%18 Jun
inferno6–13-0.1016%17 Jun
mirage13–7-0.0024%13 Jun
dust27–13-0.0622%12 Jun
anubis13–9-0.049%11 Jun
nuke1–13-0.0832%11 Jun

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 →