makesence — CS2 Stats

76561198203770887[U:1:243505159]✓ No bans

763Tracked matches53%Win rate2021Tracked since
1,989Hours in CS
CSDB Rating4.9 Developing
Ladder ranks via Leetify

Performance scores

Aim57
Positioning37
Utility55

0–100 skill scores via Leetify.

Recent form

COLD54442Last 10054%Win rateLLLWWLLLLW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Aim5.7
Aggression5.5
Utility5.5
Positioning3.7
Opening Duels1.3
Clutch0.8

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 84% 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

Reaction time. 624ms 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

Aim5.7
Positioning3.7
Utility5.5
Mechanics7.3
Opening Duels1.3
Win Impact6.1

Composite 4.9/10 (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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time626ms−64ms
first ⅓ avg 691ms → last ⅓ avg 626ms
Headshot accuracy19.8%+1.1%
first ⅓ avg 18.6% → last ⅓ avg 19.8%

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 13–6
133Biggest win — overpass
7Longest win streak
L3Current streak
65In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 77% over 13mirageWeakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
overpassA26161062%-0.01
infernoB1910953%-0.02
mirageC1981142%-0.01
trainS1310377%0.01
ancientC125742%-0.01
nukeB84450%-0.01
dust231233%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,538Lifetime kills
0.69K/D
2,554Matches
42.6%Match win rate
61.8%Headshot % · Top 10% of tracked players
18.0%Shot accuracy · Top 10% of tracked players
5,287MVPs
1,989Hours (in match)
1,672Bombs planted
926Bombs defused

Most-used weapons

AK-4737,568
AWP4,322
Knife749
MP9680

Lifetime map wins

4,613inferno
2,056train
1,330nuke
1,122dust2
661vertigo
168office
138cbble
42militia

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

Faceit stats

Combat

452Matches
53%Win rate
0.89Avg K/D
62.8ADR
42%Headshot %

Clutches & streaks

24%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno5254%0.8512.6
Ancient3951%0.9412.9
Mirage2446%0.7412.4
Overpass1283%1.0814.3
Nuke956%0.849.7
Anubis967%0.8012.1
Train580%1.0016.0

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.

19.8%Headshot accuracy
31.4%Accuracy (enemy spotted)
31.2%Spray accuracy
82.9%Counter-strafing
11.4°Preaim
624msReaction time
35.9%T opening success
34.5%CT opening success
0.71Enemies flashed / flash
7.9%Flash assists
8.16HE damage / grenade
10.31Flashes / 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 35.9442% — below the 40% mark we flag

Spend your practice time on Mirage

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

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.057%29 Apr
inferno10–13-0.0913%8 Jan
nuke10–130.0339%8 Jan
nuke13–4-0.0129%5 Jan
overpass13–80.0215%5 Jan
inferno8–13-0.0316%6 Dec
train7–13-0.0516%6 Dec
mirage13–16-0.0018%5 Dec
ancient7–13-0.0126%4 Dec
ancient13–100.0331%4 Dec
overpass5–13-0.078%3 Dec
mirage13–11-0.0223%3 Dec
overpass16–14-0.0821%3 Dec
ancient11–13-0.0522%2 Dec
nuke5–13-0.0311%2 Dec
ancient11–13-0.0324%2 Dec
inferno16–14-0.0323%28 Nov
nuke13–7-0.0222%28 Nov
mirage8–13-0.0134%28 Nov
nuke13–7-0.0327%27 Nov
overpass13–100.0319%27 Nov
overpass13–3-0.066%27 Nov
mirage13–100.0319%27 Nov
train13–80.0315%27 Nov
train13–40.0519%26 Nov
overpass4–13-0.110%26 Nov
overpass16–140.0422%26 Nov
dust216–13-0.0218%21 Nov
mirage10–13-0.0120%21 Nov
ancient13–70.0422%20 Nov
inferno13–100.0430%20 Nov
mirage13–11-0.0020%20 Nov
ancient5–13-0.0518%20 Nov
inferno13–8-0.0331%20 Nov
ancient13–100.0217%20 Nov
dust28–13-0.0619%20 Nov
nuke13–50.0638%20 Nov
train7–13-0.1121%19 Nov
overpass13–30.0726%19 Nov
inferno11–13-0.0227%19 Nov
mirage5–13-0.0221%18 Nov
overpass5–13-0.0729%18 Nov
inferno6–13-0.0817%15 Nov
ancient4–13-0.0121%14 Nov
overpass13–16-0.0218%14 Nov
overpass1–13-0.0533%14 Nov
overpass13–10-0.0111%12 Nov
inferno13–10-0.0429%12 Nov
nuke12–16-0.0518%12 Nov
inferno13–70.0130%11 Nov
train8–10.0219%11 Nov
ancient4–13-0.0728%10 Nov
overpass13–100.0224%9 Nov
inferno13–5-0.0227%9 Nov
inferno13–7-0.0111%9 Nov
mirage12–12-0.0129%9 Nov
train13–8-0.0038%8 Nov
ancient13–80.0322%8 Nov
overpass13–6-0.0218%8 Nov
overpass7–13-0.049%6 Nov
overpass6–13-0.0819%2 Nov
mirage13–10-0.0124%2 Nov
mirage13–100.0223%31 Oct
inferno13–8-0.0225%31 Oct
overpass13–8-0.0318%29 Oct
train13–80.0328%29 Oct
train8–13-0.0221%27 Oct
mirage7–130.0114%27 Oct
ancient13–16-0.0216%27 Oct
nuke8–13-0.0424%27 Oct
mirage3–13-0.0432%26 Oct
inferno3–13-0.0232%26 Oct
inferno7–130.0028%22 Oct
inferno5–13-0.0629%19 Oct
train13–60.1331%15 Oct
overpass13–70.0120%15 Oct
ancient13–50.0218%4 Oct
mirage13–80.0111%4 Oct
overpass10–10.0220%4 Oct
inferno13–4-0.0310%30 Sept
overpass13–40.1013%25 Sept
overpass11–13-0.059%24 Sept
train13–90.0017%24 Sept
mirage13–11-0.0712%22 Sept
overpass13–80.0114%22 Sept
overpass13–9-0.0214%22 Sept
inferno5–130.0117%22 Sept
mirage15–150.0521%22 Sept
train16–130.0812%22 Sept
overpass9–130.0523%22 Sept
overpass9–130.0714%22 Sept
train16–12-0.0611%22 Sept
overpass13–10-0.0022%21 Sept
mirage6–13-0.057%20 Sept
mirage6–13-0.0218%20 Sept
dust22–13-0.1227%20 Sept
mirage13–30.0214%20 Sept
train13–50.0829%20 Sept
inferno13–40.0121%18 Sept
mirage7–13-0.0318%16 Sept

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 →