MS Mechanical Engineering

MS Mechanical Engineering — CS2 Stats

CA76561198184537889[U:1:224272161]Steam profile ↗✓ No bans

505Tracked matches47%Win rate2021Tracked since
1,795Hours in CS15Hrs last 2 wks
CSDB Rating5.0 DevelopingHybrid Rifler
Premier CS Rating14,397Blue band · top ~31.6% of ranked players (population est.)
CSDB Leaderboard#11439 of 17246 tracked
Ladder ranks via Leetify

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CSDB.GGMS Mechanical EngineeringPREMIER14,397 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning52
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateWLLLWWLWLW

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

Player DNA

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

Aim6.5
Aggression7.9
Utility4.4
Positioning5.2
Opening Duels2.9

Strong CT-side openerLimited utility dependence

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 87% playstyle similarity

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

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

T-side openings. Opening success drops from 50% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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

Aim6.5
Positioning5.2
Utility4.4
Mechanics6.2
Opening Duels2.9
Win Impact3.9

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time578ms−55ms
first ⅓ avg 633ms → last ⅓ avg 578ms
Headshot accuracy14.9%+2.2%
first ⅓ avg 12.7% → last ⅓ avg 14.9%

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 13–4
131Biggest win — inferno
5Longest win streak
710In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 59% over 17ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB30161453%-0.00
nukeC1971237%0.00
dust2C1881044%0.01
cacheA1710759%-0.00
ancientD93633%0.01
inferno43175%0.06
overpass31233%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,793Lifetime kills
0.94K/D
2,567Matches
39.4%Match win rate
28.7%Headshot %
17.0%Shot accuracy · Top 25% of tracked players
5,595MVPs
916Hours (in match)
2,120Bombs planted
480Bombs defused

Most-used weapons

Lifetime map wins

10,579dust2
854nuke
643train
527inferno
231cbble
68vertigo
34lake
3aztec

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

Skill profile

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

14.2%Headshot accuracy
34.0%Accuracy (enemy spotted)
38.3%Spray accuracy
78.0%Counter-strafing
9.6°Preaim
573msReaction time
33.3%T opening success
50.0%CT opening success
0.63Enemies flashed / flash
4.8%Flash assists
10.08HE damage / grenade
4.81Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.2229% — below the 15% mark we flag

    Aim Training
  2. 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 33.3171% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–80.0314%28 Aug
dust210–130.0821%27 Aug
mirage10–13-0.094%27 Aug
nuke9–13-0.0723%27 Aug
dust213–6-0.0419%27 Aug
dust213–10-0.012%26 Aug
nuke8–130.0310%25 Aug
mirage8–10.0311%25 Aug
cache5–13-0.1111%25 Aug
nuke13–10-0.0419%25 Aug
mirage11–13-0.0621%25 Aug
ancient4–13-0.0414%24 Aug
mirage13–8-0.064%24 Aug
mirage13–50.0420%24 Aug
cache10–13-0.0511%22 Aug
mirage13–60.0912%22 Aug
ancient11–13-0.0311%22 Aug
dust28–130.0019%22 Aug
mirage14–16-0.0110%18 Aug
inferno13–90.0311%18 Aug
mirage5–13-0.072%17 Aug
nuke7–13-0.0118%17 Aug
ancient13–10-0.047%13 Aug
nuke5–130.0122%13 Aug
mirage13–30.1030%13 Aug
cache6–13-0.0314%12 Aug
mirage13–70.0514%12 Aug
cache13–110.0620%11 Aug
cache11–130.0422%11 Aug
cache13–30.0612%6 Aug
dust213–9-0.0118%6 Aug
nuke15–150.0616%6 Aug
mirage13–80.0127%4 Aug
cache13–80.027%4 Aug
nuke13–110.007%4 Aug
dust213–40.0814%3 Aug
dust23–8-0.0118%2 Aug
nuke13–8-0.006%2 Aug
inferno13–90.0917%2 Aug
ancient13–60.1023%1 Aug
ancient8–13-0.0212%1 Aug
dust26–13-0.027%1 Aug
nuke10–13-0.0411%31 Jul
cache13–80.057%31 Jul
mirage11–13-0.028%30 Jul
ancient14–160.027%30 Jul
nuke5–130.006%29 Jul
cache13–90.028%29 Jul
mirage13–40.1119%29 Jul
mirage13–9-0.0121%28 Jul
mirage13–90.0413%28 Jul
cache13–6-0.0110%28 Jul
dust210–130.0017%23 Jul
mirage13–11-0.0313%23 Jul
dust28–13-0.0515%23 Jul
nuke7–13-0.0211%22 Jul
nuke13–100.0015%22 Jul
cache13–70.016%22 Jul
dust213–100.0613%22 Jul
mirage10–13-0.0211%22 Jul
dust213–110.029%21 Jul
cache11–13-0.0610%20 Jul
mirage15–150.089%19 Jul
inferno8–130.0210%19 Jul
mirage0–13-0.0517%15 Jul
nuke15–150.0312%15 Jul
cache13–100.0114%15 Jul
mirage13–160.0011%14 Jul
mirage13–90.064%14 Jul
cache13–30.0113%14 Jul
nuke13–11-0.0321%14 Jul
cache8–13-0.028%13 Jul
cache13–6-0.0117%13 Jul
mirage13–11-0.0215%12 Jul
cache10–13-0.0119%12 Jul
mirage7–13-0.0413%30 Jun
overpass14–16-0.0024%29 Jun
ancient5–130.0213%29 Jun
dust29–130.0310%29 Jun
mirage7–13-0.077%27 Jun
nuke11–130.0416%25 Jun
overpass15–150.0112%25 Jun
overpass13–90.0419%23 Jun
mirage13–40.0012%23 Jun
mirage7–13-0.0711%23 Jun
dust210–130.0112%18 Jun
dust26–130.069%18 Jun
nuke13–5-0.0018%18 Jun
mirage13–100.1111%17 Jun
dust213–90.0117%17 Jun
nuke9–130.0512%17 Jun
nuke12–160.0011%16 Jun
nuke13–100.006%11 Jun
mirage10–13-0.048%10 Jun
dust24–13-0.0515%8 Jun
ancient13–110.0311%7 Jun
mirage13–10-0.027%5 Jun
ancient14–160.0312%2 Jun
mirage7–13-0.1015%1 Jun
inferno13–10.1012%1 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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