Initz — CS2 Stats

76561197992390864[U:1:32125136]✓ No bans

2,055Tracked matches41%Win rate2020Tracked since
CSDB Rating4.3 DevelopingSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGInitzFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning33
Utility75

0–100 skill scores via Leetify.

Recent form

COLD44506Last 10044%Win rateLLLWTWWLLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim4.6
Aggression2.0
Utility7.5
Positioning3.3
Opening Duels0.0
Clutch0.0

Strong CT-side openerEffective flashesHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 72% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 75 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 36% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 652ms 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

Aim4.6
Positioning3.3
Utility7.5
Mechanics5.4
Opening Duels0.7
Win Impact2.1

Composite 4.3/10 (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-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time636ms+14ms
first ⅓ avg 622ms → last ⅓ avg 636ms
Headshot accuracy17.6%+0.8%
first ⅓ avg 16.8% → last ⅓ avg 17.6%

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.

Highlights

0.11Best rating — mirage 13–0
130Biggest win — mirage
6Longest win streak
L3Current streak
811In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 75% over 12dust2Weakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
infernoC27111641%-0.03
dust2C2281436%-0.03
nukeB179853%-0.01
cacheC135838%-0.02
mirageS129375%-0.01
anubisC52340%-0.04
overpass2020%-0.07
ancient1010%-0.08
train1010%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

464Matches
50%Win rate
0.93Avg K/D
47.1ADR
43%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis1080%1.4213.7
Mirage1030%0.7112.4
Inferno560%0.8913.6
Nuke30%0.7214.3
Overpass10%0.7110.0
Ancient10%0.8821.0

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.

18.5%Headshot accuracy
29.2%Accuracy (enemy spotted)
32.1%Spray accuracy
74.2%Counter-strafing
10.1°Preaim
652msReaction time
18.0%T opening success
35.8%CT opening success
0.75Enemies flashed / flash
7.2%Flash assists
11.67HE damage / grenade
12.08Flashes / 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. 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 17.9506% — below the 40% mark we flag

Spend your practice time on Dust 2

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

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0815%23 Aug
inferno2–13-0.140%23 Aug
nuke6–9-0.0420%22 Aug
inferno9–6-0.0229%22 Aug
inferno8–8-0.019%22 Aug
nuke9–70.0816%22 Aug
inferno13–10-0.0620%17 Aug
dust27–13-0.0726%17 Aug
inferno11–13-0.0424%17 Aug
nuke8–13-0.0730%22 Jul
mirage5–2-0.060%22 Jul
dust216–14-0.029%22 Jul
anubis4–13-0.0223%22 Jul
dust211–13-0.0124%21 Jul
nuke13–5-0.0018%20 Jul
dust213–16-0.0513%20 Jul
nuke11–130.0310%16 Jul
inferno9–13-0.078%16 Jul
dust23–13-0.1330%16 Jul
cache15–15-0.0426%14 Jul
cache13–80.0112%14 Jul
dust29–13-0.0526%14 Jul
cache13–60.0315%12 Jul
cache13–3-0.055%12 Jul
nuke8–8-0.0311%12 Jul
cache12–16-0.0713%9 Jul
inferno16–14-0.0316%9 Jul
cache11–13-0.1011%8 Jul
train10–13-0.0526%8 Jul
inferno13–70.0017%8 Jul
mirage13–110.0419%7 Jul
inferno13–7-0.0131%7 Jul
cache6–130.0330%7 Jul
dust214–16-0.0327%1 Jul
inferno13–20.0114%1 Jul
nuke7–130.0213%30 Jun
mirage13–8-0.0220%30 Jun
nuke7–9-0.0519%30 Jun
inferno13–11-0.0625%30 Jun
cache13–6-0.0730%30 Jun
inferno5–9-0.1617%30 Jun
inferno11–13-0.0224%30 Jun
cache11–130.0112%30 Jun
inferno12–120.0123%30 Jun
mirage7–13-0.0721%30 Jun
inferno13–80.0318%29 Jun
mirage13–20.0645%29 Jun
cache9–13-0.0124%29 Jun
inferno5–130.0012%19 Jun
nuke13–8-0.0524%19 Jun
cache13–7-0.0020%19 Jun
inferno7–9-0.0517%19 Jun
nuke4–9-0.0817%19 Jun
dust213–6-0.0017%18 Jun
dust213–40.0018%18 Jun
inferno7–13-0.069%18 Jun
nuke6–13-0.0526%18 Jun
dust213–30.0340%17 Jun
mirage13–40.0016%17 Jun
dust213–9-0.0421%17 Jun
anubis13–9-0.0315%17 Jun
inferno13–11-0.0123%16 Jun
mirage13–50.0521%16 Jun
dust27–13-0.0426%16 Jun
nuke16–12-0.0113%16 Jun
nuke13–80.0614%15 Jun
mirage13–00.1131%15 Jun
dust213–80.0323%15 Jun
inferno4–90.0018%15 Jun
dust29–13-0.0329%14 Jun
dust211–13-0.0321%14 Jun
nuke9–70.0924%14 Jun
anubis3–13-0.067%11 Jun
inferno10–130.0115%11 Jun
dust24–13-0.0315%11 Jun
mirage9–13-0.1026%9 Jun
inferno3–13-0.0820%9 Jun
anubis5–13-0.0311%9 Jun
dust21–13-0.0619%9 Jun
inferno12–16-0.0415%8 Jun
dust21–13-0.0815%8 Jun
dust216–130.0215%4 Jun
inferno13–80.0619%4 Jun
overpass8–13-0.109%3 Jun
mirage13–3-0.066%3 Jun
overpass15–15-0.0412%2 Jun
anubis13–4-0.0511%2 Jun
nuke13–10-0.046%2 Jun
nuke13–10-0.078%1 Jun
mirage11–13-0.0127%1 Jun
dust212–40.0127%1 Jun
inferno12–12-0.0119%31 May
cache0–6-0.0920%31 May
cache7–130.0622%31 May
dust210–13-0.0314%30 May
nuke13–6-0.0221%30 May
mirage13–6-0.0015%30 May
inferno13–16-0.0218%30 May
inferno9–7-0.0111%30 May
dust21–13-0.0714%30 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 →