⍟ Miami Vice

⍟ Miami Vice — CS2 Stats

AU76561198075724079[U:1:115458351]Steam profile ↗

1,927Tracked matches52%Win rate2021Tracked since
3,974Hours in CS8Hrs last 2 wks
CSDB Rating5.5 Solid
Premier CS Rating16,721Purple band · top ~21.5% of ranked players (population est.)
CSDB Leaderboard#10331 of 17486 tracked
FaceitLevel 6 · 1,316 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GG⍟ Miami ViceFACEITLevel 6 · 1,316 ELOSTANDINGTop 54.0% of rankedPREMIER16,721 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning58
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY50464Last 10050%Win rateWWLWLLWLLW

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

Player DNA

Aim5.6
Aggression8.1
Utility6.0
Positioning5.8
Opening Duels3.9
Clutch2.2

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

b1t

Plays most like b1t 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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

Reaction time. 643ms 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

Aim5.6
Positioning5.8
Utility6.0
Mechanics5.6
Opening Duels3.9
Win Impact5.6

Composite 5.5/10 (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+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time634ms+6ms
first ⅓ avg 628ms → last ⅓ avg 634ms
Headshot accuracy15.6%+0.5%
first ⅓ avg 15.1% → last ⅓ avg 15.6%

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

0.13Best rating — train 6–13
130Biggest win — cache
6Longest win streak
W2Current streak
86In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 64% over 11cacheWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB1991047%-0.01
dust2A1610663%-0.00
nukeB158753%0.00
cacheC114736%-0.01
anubisA117464%-0.00
ancientB105550%-0.01
mirageB84450%0.00
train4040%0.02
overpass41325%0.00
office220100%-0.03

Across the last 100 tracked matches.

Lifetime stats

76,822Lifetime kills
0.95K/D
4,585Matches
48.9%Match win rate · Top 50% of tracked players
39.1%Headshot %
10.5%Shot accuracy
8,608MVPs
2,069Hours (in match)
4,740Bombs planted
1,025Bombs defused

Most-used weapons

AK-4725,733
AWP6,106
P903,820
MP72,485
MP92,198
MAC-101,581

Lifetime map wins

15,924dust2
9,347inferno
4,877nuke
1,670vertigo
1,194train
249cbble
55office
12italy

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

Faceit stats

Combat

33Matches
58%Win rate
1.15Avg K/D
75.5ADR
45%Headshot %

Clutches & streaks

31%1v1 clutch win
24%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke743%1.2114.7
Inferno786%1.3516.0
Ancient757%1.1516.7
Anubis540%0.9613.8
Train367%1.0314.3
Mirage367%1.1916.3
Dust210%0.5211.0

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.

15.5%Headshot accuracy
32.5%Accuracy (enemy spotted)
38.4%Spray accuracy
75.4%Counter-strafing
9.7°Preaim
643msReaction time
41.3%T opening success
50.2%CT opening success
0.55Enemies flashed / flash
13.2%Flash assists
10.04HE damage / grenade
8.38Flashes / match

Recommended for you

Spend your practice time on Cache

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 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0611%18 Aug
nuke13–100.0210%17 Aug
ancient5–13-0.087%16 Aug
cache13–60.0217%16 Aug
cache2–130.0115%15 Aug
nuke3–13-0.0319%15 Aug
anubis13–90.0310%14 Aug
ancient7–13-0.0213%14 Aug
cache10–130.0118%13 Aug
anubis13–20.0716%13 Aug
train9–130.0117%12 Aug
cache13–16-0.0224%9 Aug
cache13–00.0319%3 Aug
nuke13–50.0918%2 Aug
mirage13–110.0318%31 Jul
nuke5–13-0.107%30 Jul
dust213–80.0237%28 Jul
dust213–90.0614%28 Jul
anubis13–7-0.0713%28 Jul
mirage15–150.0218%28 Jul
mirage5–13-0.0514%28 Jul
nuke13–100.0717%28 Jul
inferno13–60.0514%28 Jul
ancient7–130.0413%28 Jul
dust24–13-0.0512%27 Jul
anubis13–9-0.017%27 Jul
ancient12–16-0.0313%27 Jul
mirage8–130.0110%27 Jul
inferno9–13-0.0622%26 Jul
ancient13–60.0319%26 Jul
cache13–60.0513%26 Jul
dust213–00.0118%26 Jul
inferno7–130.0122%26 Jul
nuke14–160.0021%25 Jul
dust23–13-0.0316%25 Jul
inferno10–13-0.0122%25 Jul
nuke10–13-0.0020%25 Jul
inferno13–11-0.0432%25 Jul
nuke2–13-0.0217%25 Jul
ancient13–80.0118%24 Jul
cache8–13-0.0213%24 Jul
ancient13–4-0.0118%24 Jul
ancient6–13-0.0216%21 Jul
inferno4–130.0617%21 Jul
mirage13–8-0.0118%17 Jul
inferno9–13-0.0218%17 Jul
inferno13–70.0334%17 Jul
anubis3–6-0.1014%17 Jul
inferno15–150.0120%14 Jul
nuke13–50.0121%14 Jul
nuke7–13-0.0414%14 Jul
mirage14–160.0410%14 Jul
inferno16–130.0220%13 Jul
dust28–130.0419%13 Jul
anubis13–16-0.0722%13 Jul
anubis13–90.0612%12 Jul
inferno16–13-0.0013%12 Jul
dust213–10-0.0025%12 Jul
cache6–13-0.0521%12 Jul
inferno5–13-0.0620%11 Jul
nuke13–80.0418%11 Jul
ancient13–90.0314%11 Jul
cache3–130.0112%11 Jul
dust211–13-0.0416%10 Jul
dust216–140.0231%10 Jul
dust213–10-0.0019%10 Jul
cache13–11-0.0316%10 Jul
inferno9–13-0.0620%9 Jul
cache8–13-0.0717%9 Jul
office13–4-0.0420%8 Jul
office13–4-0.0116%8 Jul
nuke13–8-0.0516%5 Jul
dust215–15-0.0121%5 Jul
dust213–11-0.0218%2 Jul
inferno16–130.0623%2 Jul
inferno13–9-0.0212%2 Jul
dust213–90.019%1 Jul
anubis11–13-0.025%1 Jul
anubis13–60.097%30 Jun
overpass13–5-0.016%30 Jun
anubis10–13-0.029%26 Jun
dust213–9-0.076%26 Jun
inferno13–11-0.0614%26 Jun
nuke13–50.057%25 Jun
mirage13–5-0.0318%25 Jun
anubis13–110.0417%24 Jun
inferno13–5-0.0333%24 Jun
overpass11–130.0414%24 Jun
dust213–70.1120%24 Jun
nuke15–150.0111%22 Jun
overpass5–130.0321%22 Jun
mirage13–70.0221%18 Jun
train5–13-0.0312%18 Jun
train6–130.1320%18 Jun
train10–13-0.0114%18 Jun
nuke13–100.0211%16 Jun
inferno11–13-0.0515%16 Jun
overpass5–13-0.0415%14 Jun
inferno10–13-0.0516%14 Jun
dust23–13-0.0513%14 Jun

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 →