titanazor

titanazor — CS2 Stats

US76561198217317565[U:1:257051837]Steam profile ↗✓ No bans

973Tracked matches48%Win rate2022Tracked since
1,267Hours in CS4Hrs last 2 wks
CSDB Rating6.1 SolidHybrid Rifler
WingmanGold Nova III
Ladder ranks via Leetify

Performance scores

Aim83
Positioning52
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY56386Last 10056%Win rateLWLWWLLLLW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.3
Aggression6.2
Utility4.7
Positioning5.2
Opening Duels1.6
Clutch4.0

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.

Your pro match

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 47% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms 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

Aim8.3
Positioning5.2
Utility4.7
Mechanics8.0
Opening Duels2.2
Win Impact4.4

Composite 6.1/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time578ms+25ms
first ⅓ avg 554ms → last ⅓ avg 578ms
Headshot accuracy25.2%−5.9%
first ⅓ avg 31.1% → last ⅓ avg 25.2%

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

0.17Best rating — dust2 6–0
130Biggest win — train
7Longest win streak
87In matches decided by ≤2 rounds

Map breakdown

officeBest map · 67% over 6dust2Weakest map · 47% over 19
MapGradePlayedRecordWin rateAvg rating
infernoB20101050%0.03
dust2B1991047%0.01
cacheS1711665%0.00
vertigoA106460%0.01
anubisB84450%0.01
ancientB63350%0.03
officeS64267%-0.02
train43175%0.04
mirage42250%-0.01
overpass32167%0.00
nuke21150%0.01
italy110100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,804Lifetime kills
1.16K/D · Top 25% of tracked players
1,885Matches
44.3%Match win rate
70.3%Headshot % · Top 5% of tracked players
2.6%Shot accuracy
5,794MVPs
1,016Hours (in match)
350Bombs planted
535Bombs defused

Most-used weapons

Lifetime map wins

2,845dust2
2,453inferno
1,524nuke
1,267vertigo
658train
625office
22italy
11ar_baggage

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

Faceit stats

Combat

2Matches
0%Win rate
1.36Avg K/D
93.3ADR
51%Headshot %

Clutches & streaks

40%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust210%1.1425.0
Mirage10%1.5946.0

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.

25.0%Headshot accuracy
34.2%Accuracy (enemy spotted)
36.3%Spray accuracy
85.9%Counter-strafing
8.5°Preaim
583msReaction time
25.8%T opening success
47.3%CT opening success
0.55Enemies flashed / flash
8.2%Flash assists
6.69HE damage / grenade
10.13Flashes / 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 25.7545% — 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.

47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
train10–13-0.0348%17 Aug
dust213–11-0.0430%16 Aug
dust28–13-0.1224%7 Aug
ancient13–60.0529%7 Aug
inferno13–70.0622%7 Aug
cache3–13-0.0624%7 Aug
inferno11–13-0.0419%5 Aug
dust28–13-0.0117%5 Aug
vertigo5–13-0.0627%1 Aug
vertigo13–11-0.0736%29 Jul
vertigo13–30.0227%29 Jul
nuke6–13-0.0815%28 Jul
inferno8–130.0127%28 Jul
anubis11–130.0018%28 Jul
anubis13–1-0.0322%28 Jul
dust212–120.0825%28 Jul
inferno13–10-0.0213%28 Jul
ancient8–13-0.0419%22 Jul
dust26–00.1750%22 Jul
anubis7–13-0.0322%22 Jul
inferno13–50.0533%22 Jul
dust213–60.0328%17 Jul
inferno6–130.0322%17 Jul
dust27–130.0315%9 Jul
cache8–13-0.0721%6 Jul
cache13–9-0.0322%6 Jul
mirage3–13-0.0737%6 Jul
cache13–30.0318%4 Jul
inferno13–50.1432%4 Jul
dust213–70.0526%4 Jul
cache13–110.0627%3 Jul
inferno7–130.0316%3 Jul
dust211–130.0019%3 Jul
cache13–8-0.0224%3 Jul
anubis13–60.0732%2 Jul
cache10–130.0123%2 Jul
ancient13–30.0225%2 Jul
vertigo8–130.0325%1 Jul
inferno9–130.0334%1 Jul
cache13–60.0739%1 Jul
dust213–11-0.0125%1 Jul
cache13–7-0.1024%30 Jun
vertigo12–120.0546%30 Jun
dust213–90.0429%29 Jun
inferno13–40.0522%29 Jun
ancient12–120.0423%29 Jun
overpass12–120.0123%29 Jun
inferno12–12-0.0432%29 Jun
dust28–13-0.0124%28 Jun
cache13–50.0533%28 Jun
office13–9-0.0919%28 Jun
ancient11–130.0619%28 Jun
cache13–8-0.0516%27 Jun
ancient13–90.0317%26 Jun
cache13–50.0116%24 Jun
vertigo8–13-0.0122%24 Jun
inferno13–40.0632%24 Jun
inferno1–13-0.0610%22 Jun
office10–130.0123%22 Jun
italy13–4-0.0342%22 Jun
dust213–9-0.0224%21 Jun
train13–70.0441%21 Jun
train13–60.0625%21 Jun
train13–00.0820%21 Jun
cache4–13-0.0614%19 Jun
inferno5–130.0525%17 Jun
vertigo13–110.0525%17 Jun
vertigo13–11-0.0125%15 Jun
anubis13–6-0.0225%15 Jun
dust213–10.0435%15 Jun
overpass13–10-0.0834%15 Jun
inferno13–8-0.0036%15 Jun
dust213–80.0129%13 Jun
inferno10–130.0028%13 Jun
anubis13–30.0522%13 Jun
cache3–80.0752%13 Jun
office13–10-0.0434%13 Jun
office12–120.0130%12 Jun
office13–11-0.0327%12 Jun
nuke13–50.1142%8 Jun
cache8–130.0327%8 Jun
anubis11–130.0443%8 Jun
dust211–130.1139%8 Jun
overpass13–30.0834%8 Jun
mirage13–60.0426%8 Jun
vertigo13–4-0.0134%7 Jun
anubis11–130.0129%7 Jun
dust25–13-0.0625%7 Jun
mirage7–13-0.0039%7 Jun
inferno13–90.0529%25 May
cache13–110.0626%21 May
cache13–100.0221%20 May
inferno10–130.0133%20 May
mirage13–6-0.0122%20 May
inferno13–90.0320%20 May
office13–70.0532%20 May
inferno13–50.1134%18 May
vertigo13–50.0624%18 May
dust22–8-0.0550%18 May
dust24–13-0.0121%17 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 →