Danz s> genuines

Danz s> genuines — CS2 Stats

AU76561197992584463[U:1:32318735]Steam profile ↗✓ No bans

2,609Tracked matches61%Win rate2022Tracked since
8,016Hours in CS6Hrs last 2 wks
CSDB Rating5.0 DevelopingClutch Specialist
FaceitLevel 4 · 949 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGDanz s> genuinesFACEITLevel 4 · 949 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning45
Utility50

0–100 skill scores via Leetify.

Recent form

HOT49447Last 10049%Win rateLWWLWWLWWW

Last 10 vs previous 10: +40pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim6.8
Aggression5.4
Utility5.0
Positioning4.5
Opening Duels1.3
Clutch8.4

Strong CT-side openerReliable in 1v1s

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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim6.8
Positioning4.5
Utility5.0
Mechanics5.7
Opening Duels1.8
Win Impact8.6

Composite 5.0/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time591ms+9ms
first ⅓ avg 583ms → last ⅓ avg 591ms
Headshot accuracy17.3%+1.0%
first ⅓ avg 16.3% → last ⅓ avg 17.3%

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

0.14Best rating — nuke 4–2
131Biggest win — nuke
8Longest win streak
85In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 64% over 11ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B31141745%-0.01
cacheA1710759%-0.00
mirageA117464%-0.00
infernoC104640%-0.02
ancientD81713%-0.07
nukeA85363%0.00
anubisD72529%-0.02
train43175%0.01
vertigo32167%-0.01
overpass110100%-0.04

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

139,037Lifetime kills
0.88K/D
15,206Matches
44.8%Match win rate
34.7%Headshot %
11.5%Shot accuracy
10,176MVPs
4,399Hours (in match)
2,773Bombs planted
765Bombs defused

Most-used weapons

AWP33,948
AK-4726,107
SSG 083,083
MP92,525
MP71,997

Lifetime map wins

7,872dust2
6,687inferno
6,586nuke
2,587vertigo
2,482train
813office
484italy
451militia

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

Faceit stats

Combat

34Matches
50%Win rate
1.00Avg K/D
79.0ADR
42%Headshot %

Clutches & streaks

62%1v1 clutch win
13%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust21080%1.2716.4
Mirage1050%0.9915.9
Inferno367%0.6911.3
Nuke2100%1.2419.0
Train10%0.5910.0
Ancient10%1.2024.0
Overpass10%0.9314.0

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.

17.0%Headshot accuracy
36.0%Accuracy (enemy spotted)
37.2%Spray accuracy
75.7%Counter-strafing
9.8°Preaim
585msReaction time
26.6%T opening success
44.2%CT opening success
0.61Enemies flashed / flash
6.6%Flash assists
6.61HE damage / grenade
6.76Flashes / 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 26.557% — 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
inferno7–13-0.099%24 Aug
cache7–6-0.0217%24 Aug
dust213–9-0.0416%24 Aug
cache7–13-0.0421%27 Jul
vertigo13–60.039%27 Jul
dust213–40.0117%27 Jul
ancient4–13-0.0026%27 Jul
nuke13–110.0212%20 Jul
train13–90.0117%20 Jul
mirage13–40.0317%20 Jul
dust213–8-0.0123%20 Jul
dust28–13-0.079%13 Jul
nuke4–20.1414%13 Jul
dust26–130.0120%13 Jul
dust29–13-0.0511%13 Jul
ancient3–13-0.1117%13 Jul
mirage13–30.0120%13 Jul
dust212–12-0.0128%12 Jul
nuke9–130.1016%12 Jul
dust212–12-0.0418%7 Jul
cache13–30.1024%7 Jul
cache13–4-0.0114%7 Jul
dust28–13-0.0214%6 Jul
nuke13–1-0.0617%6 Jul
dust214–160.0217%6 Jul
dust29–130.0212%5 Jul
mirage13–70.0218%5 Jul
dust213–4-0.0324%5 Jul
mirage12–3-0.0229%5 Jul
ancient13–6-0.119%5 Jul
anubis13–110.0219%5 Jul
ancient1–13-0.1018%5 Jul
ancient11–13-0.0320%4 Jul
dust20–13-0.0613%4 Jul
dust26–10.0521%4 Jul
ancient4–13-0.038%4 Jul
inferno13–7-0.0323%29 Jun
dust213–11-0.0521%29 Jun
cache6–13-0.0218%29 Jun
dust29–13-0.0615%27 Jun
cache13–40.0720%27 Jun
inferno11–13-0.0818%24 Jun
dust213–60.0019%24 Jun
cache13–8-0.0114%24 Jun
overpass13–8-0.0410%24 Jun
mirage12–12-0.0410%24 Jun
dust24–13-0.0514%21 Jun
nuke13–8-0.0111%21 Jun
cache7–130.0112%21 Jun
inferno13–60.0522%17 Jun
cache11–130.0034%17 Jun
cache3–13-0.0710%16 Jun
train13–20.1024%16 Jun
inferno4–13-0.0320%16 Jun
dust27–13-0.0616%16 Jun
ancient7–13-0.0922%14 Jun
dust24–13-0.0429%14 Jun
mirage12–12-0.0326%14 Jun
dust28–13-0.0120%13 Jun
cache13–30.0119%13 Jun
inferno12–120.0314%13 Jun
anubis2–13-0.1117%13 Jun
cache11–13-0.0113%13 Jun
inferno13–110.0217%11 Jun
dust213–90.0525%11 Jun
dust213–4-0.0442%10 Jun
nuke4–13-0.0911%10 Jun
dust213–30.1122%10 Jun
inferno13–50.0618%10 Jun
anubis13–5-0.0216%10 Jun
vertigo13–6-0.0510%10 Jun
dust213–100.0433%7 Jun
cache13–5-0.0112%7 Jun
nuke13–5-0.0219%6 Jun
dust213–40.0115%6 Jun
mirage10–130.0214%6 Jun
cache13–50.0513%6 Jun
vertigo12–12-0.0212%3 Jun
mirage13–9-0.0313%2 Jun
mirage13–5-0.0023%2 Jun
dust29–13-0.0720%2 Jun
train8–13-0.0516%2 Jun
cache13–70.0110%2 Jun
dust22–9-0.045%2 Jun
ancient4–13-0.1111%2 Jun
anubis7–130.0820%1 Jun
anubis2–130.017%1 Jun
dust210–130.0428%1 Jun
dust213–11-0.0116%1 Jun
inferno7–13-0.0321%1 Jun
anubis10–130.0215%1 Jun
inferno5–13-0.0516%1 Jun
cache5–13-0.0630%1 Jun
dust213–11-0.0114%1 Jun
nuke12–12-0.0411%1 Jun
mirage4–13-0.009%1 Jun
train13–10-0.0124%1 Jun
cache13–10-0.0619%31 May
anubis5–13-0.114%31 May
mirage13–100.0322%31 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 →