makko

makko — CS2 Stats

76561198006323708[U:1:46057980]Steam profile ↗✓ No bans

261Tracked matches47%Win rate2020Tracked since
1,100Hours in CS3Hrs last 2 wks
CSDB Rating3.7 LearningPositional Player
CSDB Leaderboard#64825 of 260004 tracked
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,406 +9,894 17 Oct – 4 Oct · 15 days played
11,40622,727peak 22,72717 Oct4 Oct
22,727Peak Premier in tracked matches
31Days played since 2025-10-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim30
Positioning52
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateLLLWLTWWTW

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · +6.1pp headshot accuracy · +37ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 503ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 552ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 533ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.6 against its own average).

Aim3.0
Utility4.8
Positioning5.2
Opening Duels0.6
Clutch0.0

Limited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 64% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 569ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.0
Positioning5.2
Utility4.8
Mechanics3.3
Opening Duels1.7
Win Impact3.9

Composite 3.7/10 (Learning), 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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time558ms−33ms
first ⅓ avg 591ms → last ⅓ avg 558ms
Headshot accuracy13.1%+0.9%
first ⅓ avg 12.2% → last ⅓ avg 13.1%

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.

Personal bests

0.31Best match rating · 9–1 · debris, 9 Oct →
38%Best headshot accuracy · 7–13 · inferno, 4 Feb →
344msFastest reaction time · 13–9 · cache, 14 May →
13–1Biggest win · ancient, 25 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
10–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 80% over 5dust2Weakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
nukeB189–950%-0.01
infernoC176–1135%-0.02
ancientC146–843%-0.02
mirageB126–650%-0.01
dust2D112–918%-0.05
overpassB84–450%-0.01
cacheS54–180%-0.02
anubisS54–180%-0.02
trainD51–420%0.00
poseidon—22–0100%0.09
rush_001—10–10%-0.06
vertigo—10–10%-0.07
debris—11–0100%0.31

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,929Lifetime kills
1.04K/D · Top 50% of tracked players
1,516Matches
44.9%Match win rate
36.2%Headshot %
10.5%Shot accuracy
3,004MVPs
613Hours (in match)
1,986Bombs planted
384Bombs defused

Most-used weapons

Lifetime map wins

2,348inferno
1,946nuke
1,337dust2
863train
289cbble
277vertigo
130office
79italy

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

Faceit stats

Combat

67Matches
51%Win rate
1.02Avg K/D
65.3ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
100%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo3100%1.5016.7
Mirage333%0.6310.3
Ancient250%1.0415.5
Nuke1100%1.1515.0
Dust210%0.507.0
Train10%1.0521.0

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.

12.1%Headshot accuracy
27.7%Accuracy (enemy spotted)
29.9%Spray accuracy
65.0%Counter-strafing
11.7°Preaim
569msReaction time
43.2%T opening success
29.3%CT opening success
0.54Enemies flashed / flash
3.1%Flash assists
6.76HE damage / grenade
4.83Flashes / 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 12.0853% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 29.3485% — below the 40% mark we flag

Spend your practice time on Dust 2

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0113%2 Nov →
ancient10–13-0.0222%2 Nov →
nuke6–9-0.0318%23 Oct →
poseidon9–40.0627%23 Oct →
rush_0011–5-0.0617%17 Oct →
vertigo8–8-0.0711%9 Oct →
poseidon9–20.1116%9 Oct →
debris9–10.3110%9 Oct →
inferno8–8-0.127%9 Oct →
nuke9–50.0114%9 Oct →
mirage10–130.0013%4 Oct →
dust29–13-0.117%4 Oct →
dust25–13-0.094%4 Oct →
dust27–13-0.0420%3 Oct →
inferno13–100.0315%1 Oct →
cache7–13-0.006%1 Oct →
anubis13–40.0310%1 Oct →
nuke13–60.029%1 Oct →
anubis16–14-0.049%26 Sept →
ancient13–5-0.020%26 Sept →
cache13–4-0.029%26 Sept →
inferno5–13-0.0617%26 Sept →
inferno8–13-0.0518%26 Sept →
nuke14–16-0.0216%26 Sept →
inferno11–130.0316%24 Sept →
inferno9–13-0.0515%24 Sept →
cache13–40.0415%24 Sept →
nuke16–14-0.0118%18 Sept →
inferno16–14-0.0214%18 Sept →
anubis13–30.0113%18 Sept →
overpass13–60.0111%18 May →
dust213–70.0214%18 May →
inferno11–13-0.028%18 May →
nuke11–13-0.0616%18 May →
cache13–10-0.060%18 May →
inferno13–10-0.015%14 May →
anubis8–13-0.0916%14 May →
ancient4–13-0.067%14 May →
cache13–9-0.0720%14 May →
mirage16–14-0.0512%28 Apr →
ancient8–13-0.0211%28 Apr →
mirage7–13-0.0511%28 Apr →
nuke13–2-0.0312%28 Apr →
ancient10–13-0.037%21 Feb →
nuke13–40.137%21 Feb →
inferno7–130.0138%4 Feb →
mirage13–110.0125%4 Feb →
nuke13–30.0712%4 Feb →
nuke10–13-0.0314%17 Jan →
inferno13–60.0410%13 Jan →
anubis13–7-0.0118%13 Jan →
dust213–40.0217%12 Jan →
mirage13–11-0.048%12 Jan →
mirage8–130.0311%12 Jan →
ancient13–110.0515%12 Jan →
mirage5–13-0.0415%8 Dec →
train13–100.0320%8 Dec →
ancient13–8-0.027%8 Dec →
dust215–15-0.0511%5 Dec →
ancient12–16-0.0111%5 Nov →
train15–150.047%30 Oct →
nuke2–13-0.047%30 Oct →
inferno3–13-0.0030%30 Oct →
ancient13–60.0113%30 Oct →
dust26–13-0.055%29 Oct →
inferno2–13-0.0410%29 Oct →
mirage9–13-0.067%29 Oct →
overpass13–110.0114%29 Oct →
overpass5–13-0.0424%28 Oct →
nuke1–13-0.114%28 Oct →
inferno11–13-0.0312%28 Oct →
ancient6–13-0.0713%28 Oct →
dust215–15-0.0713%28 Oct →
overpass11–13-0.0311%28 Oct →
mirage13–100.0611%28 Oct →
overpass13–80.0313%25 Oct →
nuke13–2-0.077%25 Oct →
ancient13–1-0.047%25 Oct →
train8–13-0.006%25 Oct →
mirage13–7-0.0113%25 Oct →
dust25–13-0.0930%25 Oct →
inferno13–11-0.0111%24 Oct →
train8–13-0.0211%24 Oct →
nuke8–130.0013%24 Oct →
overpass13–11-0.0315%24 Oct →
mirage15–15-0.077%24 Oct →
inferno13–90.008%22 Oct →
mirage13–40.1216%22 Oct →
nuke13–2-0.0214%22 Oct →
overpass15–150.017%22 Oct →
ancient5–13-0.0117%22 Oct →
dust27–13-0.0415%21 Oct →
train7–13-0.040%20 Oct →
nuke10–13-0.065%20 Oct →
ancient13–10-0.0016%20 Oct →
inferno11–130.0111%20 Oct →
nuke11–60.037%20 Oct →
overpass5–13-0.0610%20 Oct →
nuke13–16-0.0315%18 Oct →
ancient5–13-0.0127%17 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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