mimikatz.exe

mimikatz.exe — CS2 Stats

76561198075623182[U:1:115357454]Steam profile ↗✓ No bans

522Tracked matches31%Win rate2020Tracked since
CSDB Rating5.0 DevelopingAggressive Rifler
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim71
Positioning54
Utility16

0–100 skill scores via Leetify.

Recent form

COLD44497Last 10044%Win rateLLLLLLLLLW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.1
Aggression9.4
Utility1.6
Positioning5.4
Opening Duels4.0

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

sh1ro

Plays most like sh1ro 82% playstyle similarity

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

Where you differ: lower aim profile; 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

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

Reaction time. 634ms 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

Aim7.1
Positioning5.4
Utility1.6
Mechanics7.7
Opening Duels4.0
Win Impact0.0

Composite 5.0/10 (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-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time643ms+37ms
first ⅓ avg 606ms → last ⅓ avg 643ms
Headshot accuracy29.7%+4.3%
first ⅓ avg 25.4% → last ⅓ avg 29.7%

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 — dust2 13–7
132Biggest win — office
6Longest win streak
L9Current streak
75In matches decided by ≤2 rounds
3Overtime games

Map breakdown

trainBest map · 63% over 8infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB29141548%0.01
officeB2091145%0.00
dust2C94544%0.02
ancientC94544%-0.01
trainA85363%0.01
anubisB63350%-0.01
infernoC52340%-0.05
overpass42250%0.01
vertigo31233%-0.02
cache2020%-0.01
nuke2020%-0.03
grail1010%-0.04
edin1010%-0.03
whistle1010%-0.22

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

28.2%Headshot accuracy
31.5%Accuracy (enemy spotted)
35.4%Spray accuracy
84.7%Counter-strafing
11.3°Preaim
634msReaction time
44.4%T opening success
47.7%CT opening success
0.36Enemies flashed / flash
0.4%Flash assists
8.91HE damage / grenade
6.79Flashes / 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 0.3584 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0345%19 Jun
cache6–13-0.0070%19 Jun
office2–130.0029%4 Jun
cache8–13-0.0227%30 Apr
dust25–13-0.0563%1 Apr
mirage4–130.0536%1 Mar
ancient0–13-0.0931%16 Aug
ancient6–13-0.0610%10 Aug
mirage9–13-0.0037%3 Aug
office13–11-0.0218%15 Jul
mirage11–13-0.038%13 Jul
grail9–13-0.040%1 Jun
overpass8–130.0019%30 May
mirage6–13-0.0024%29 May
ancient4–12-0.0621%6 Mar
mirage9–13-0.0316%17 Feb
mirage13–100.0138%17 Feb
mirage13–30.039%17 Feb
dust29–13-0.0319%16 Feb
train6–13-0.0431%16 Feb
train13–80.0534%16 Feb
mirage13–80.088%15 Feb
office12–12-0.0029%15 Feb
train16–14-0.0142%14 Feb
anubis11–130.0229%13 Feb
nuke11–13-0.0331%13 Feb
dust213–80.0835%6 Feb
anubis13–8-0.0437%6 Feb
mirage13–100.0019%6 Feb
vertigo1–13-0.0238%6 Feb
mirage7–130.0567%5 Feb
ancient13–100.0638%4 Feb
ancient4–130.0724%4 Feb
office4–130.0244%3 Feb
office5–00.10100%3 Feb
mirage3–13-0.1125%3 Feb
overpass13–50.0512%3 Feb
mirage6–13-0.0516%3 Feb
dust28–130.0218%2 Feb
anubis13–80.0216%2 Feb
anubis9–13-0.047%2 Feb
office8–13-0.040%2 Feb
anubis10–13-0.0715%2 Feb
mirage13–50.0143%1 Feb
ancient13–7-0.0235%1 Feb
ancient13–6-0.0324%1 Feb
train13–100.0048%1 Feb
mirage13–110.0321%1 Feb
dust213–90.0721%1 Feb
office12–12-0.080%31 Jan
office13–30.0429%31 Jan
nuke11–13-0.0317%31 Jan
ancient13–80.0169%30 Jan
office4–130.0325%29 Jan
dust211–130.0439%29 Jan
office13–5-0.0333%29 Jan
inferno4–9-0.0017%29 Jan
train12–120.0444%28 Jan
office6–13-0.0418%28 Jan
mirage8–130.0228%28 Jan
edin10–13-0.0321%28 Jan
dust213–11-0.0331%27 Jan
inferno6–4-0.0531%27 Jan
train12–120.0126%27 Jan
train4–10.0718%27 Jan
office6–130.0067%27 Jan
mirage13–60.0529%26 Jan
mirage7–130.0019%26 Jan
office13–70.0615%26 Jan
mirage9–13-0.0540%26 Jan
mirage13–9-0.0225%25 Jan
mirage2–10.0833%25 Jan
mirage13–80.0431%25 Jan
mirage13–9-0.0123%25 Jan
office6–130.0124%25 Jan
office3–130.0325%24 Jan
inferno13–8-0.079%24 Jan
office13–60.0919%24 Jan
overpass4–130.0130%24 Jan
office13–2-0.0815%24 Jan
vertigo3–13-0.0417%23 Jan
mirage12–120.0117%23 Jan
office13–6-0.0222%23 Jan
office5–13-0.0326%22 Jan
mirage13–90.0042%22 Jan
mirage13–5-0.0063%21 Jan
anubis16–120.0435%21 Jan
mirage13–80.0233%21 Jan
mirage9–130.0236%20 Jan
ancient9–13-0.0225%20 Jan
overpass13–6-0.0113%20 Jan
mirage9–13-0.0020%19 Jan
mirage3–130.0038%19 Jan
dust213–70.1332%19 Jan
train13–6-0.0024%19 Jan
office13–4-0.0129%19 Jan
vertigo13–110.0117%18 Jan
inferno15–15-0.0511%18 Jan
inferno8–8-0.0921%17 Jan
whistle3–9-0.2211%17 Jan

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 →