MK15

MK15 — CS2 Stats

76561198119586860[U:1:159321132]Steam profile ↗✓ No bans

341Tracked matches57%Win rate2025Tracked since
529Hours in CS7Hrs last 2 wks
CSDB Rating3.0 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim17
Positioning39
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateLWLTLWWWWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +4.7pp headshot accuracy · −58ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 17%
  • Avg reaction 670ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 14%
  • Avg reaction 651ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 680ms

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 (+1.6 against its own average).

Aim1.7
Utility3.0
Positioning3.9
Opening Duels0.0

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

ZywOo

Plays most like ZywOo 64% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 679ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim1.7
Positioning3.9
Utility3.0
Mechanics3.4
Opening Duels0.0
Win Impact7.4

Composite 3.0/10 (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-0.06−0.03
first ⅓ avg -0.03 → last ⅓ avg -0.06
Reaction time678ms−56ms
first ⅓ avg 734ms → last ⅓ avg 678ms
Headshot accuracy10.6%+0.4%
first ⅓ avg 10.2% → last ⅓ avg 10.6%

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.

Personal bests

0.12Best match rating · 13–2 · nuke, 11 Jul →
29%Best headshot accuracy · 4–13 · inferno, 14 Oct →
383msFastest reaction time · 13–6 · nuke, 22 Sept →
13–1Biggest win · nuke, 21 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–10In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 65% over 26dust2Weakest map · 32% over 28
MapGradePlayedRecordWin rateAvg rating
dust2D289–1932%-0.04
nukeS2617–965%-0.03
mirageC239–1439%-0.04
cacheA138–562%-0.04
inferno—40–40%-0.13
train—21–150%-0.07
anubis—21–150%-0.03
overpass—11–0100%-0.13
ancient—10–10%-0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,642Lifetime kills
0.79K/D
980Matches
42.0%Match win rate
29.4%Headshot %
10.9%Shot accuracy
1,167MVPs
298Hours (in match)
842Bombs planted
223Bombs defused

Most-used weapons

Lifetime map wins

2,951dust2
1,307nuke
573inferno
80vertigo
67train
22safehouse
14lake
12bank

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.

11.1%Headshot accuracy
26.9%Accuracy (enemy spotted)
28.5%Spray accuracy
65.5%Counter-strafing
12.4°Preaim
679msReaction time
23.6%T opening success
29.2%CT opening success
0.27Enemies flashed / flash
1.9%Flash assists
3.61HE damage / grenade
5.48Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3925° — above the 12° mark we flag

    Aim Training →
  2. 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 11.0529% — below the 15% mark we flag

    Aim Training →
  3. 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 0.2661 — below the 0.5 mark we flag

    Grenade Lineups →
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.

32% win rate across 28 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
mirage7–13-0.0717%15 Oct →
nuke13–10-0.0517%15 Oct →
inferno4–13-0.1029%14 Oct →
inferno15–15-0.094%14 Oct →
cache9–13-0.0618%14 Oct →
nuke13–7-0.0816%12 Oct →
dust213–10-0.0415%12 Oct →
overpass13–11-0.137%9 Oct →
nuke13–9-0.027%9 Oct →
nuke10–13-0.019%30 Sept →
mirage9–13-0.115%30 Sept →
dust213–7-0.053%27 Sept →
nuke10–13-0.0412%23 Sept →
dust213–5-0.0918%23 Sept →
mirage13–3-0.0612%23 Sept →
mirage13–11-0.0215%22 Sept →
nuke13–6-0.054%22 Sept →
mirage13–6-0.075%21 Sept →
nuke13–1-0.019%21 Sept →
nuke12–12-0.0411%11 Sept →
mirage6–13-0.0510%6 Sept →
nuke9–13-0.069%5 Sept →
mirage5–13-0.106%5 Sept →
nuke13–7-0.0515%4 Sept →
dust213–60.0121%4 Sept →
cache13–9-0.0515%12 Aug →
dust27–13-0.099%12 Aug →
ancient9–13-0.105%12 Aug →
mirage13–6-0.056%12 Aug →
mirage11–13-0.028%10 Aug →
mirage5–13-0.143%7 Aug →
dust22–13-0.143%7 Aug →
nuke7–13-0.068%4 Aug →
dust212–12-0.0412%4 Aug →
nuke13–50.012%28 Jul →
mirage13–110.048%28 Jul →
cache10–13-0.056%26 Jul →
inferno7–9-0.1918%25 Jul →
dust25–13-0.047%25 Jul →
train13–7-0.0711%19 Jul →
cache13–70.0015%18 Jul →
nuke13–8-0.046%18 Jul →
nuke13–7-0.036%12 Jul →
dust213–50.026%12 Jul →
nuke13–20.1214%11 Jul →
cache13–10-0.0614%11 Jul →
inferno4–9-0.1412%11 Jul →
cache11–130.006%1 Jul →
mirage2–13-0.0919%1 Jul →
dust21–13-0.0710%1 Jul →
mirage10–130.0015%28 Jun →
dust210–13-0.0122%28 Jun →
dust213–11-0.0610%27 Jun →
nuke2–13-0.097%27 Jun →
dust213–6-0.0313%27 Jun →
dust212–12-0.0619%26 Jun →
anubis13–9-0.0220%25 Jun →
nuke13–10-0.0612%25 Jun →
cache13–4-0.0315%25 Jun →
cache13–9-0.048%24 Jun →
dust211–13-0.0318%24 Jun →
nuke13–30.018%24 Jun →
dust23–13-0.0416%18 Jun →
mirage12–12-0.1016%16 Jun →
nuke13–40.0113%13 Jun →
dust27–13-0.0616%13 Jun →
mirage5–13-0.0417%13 Jun →
nuke13–10.0317%12 Jun →
dust211–13-0.0220%12 Jun →
dust28–13-0.0618%11 Jun →
mirage11–13-0.0011%11 Jun →
mirage13–9-0.017%10 Jun →
dust23–13-0.1118%10 Jun →
dust28–13-0.0113%8 Jun →
nuke11–13-0.089%8 Jun →
nuke11–13-0.023%7 Jun →
mirage13–10-0.040%7 Jun →
dust27–13-0.064%3 Jun →
mirage13–5-0.014%3 Jun →
nuke13–40.028%3 Jun →
mirage6–13-0.045%2 Jun →
cache13–6-0.033%2 Jun →
dust213–6-0.0213%1 Jun →
dust27–13-0.086%30 May →
dust211–130.039%30 May →
cache13–8-0.0910%30 May →
cache13–40.0414%28 May →
nuke13–9-0.057%28 May →
dust212–12-0.0713%28 May →
mirage11–130.0311%27 May →
train5–13-0.0811%27 May →
anubis12–12-0.050%27 May →
cache10–13-0.0811%25 May →
nuke13–6-0.0212%25 May →
mirage7–13-0.0811%25 May →
nuke6–13-0.0518%24 May →
mirage13–110.0520%24 May →
cache7–13-0.0718%24 May →
dust23–13-0.0810%24 May →
dust213–90.077%21 May →

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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