markka01

markka01 — CS2 Stats

FI76561198049518368[U:1:89252640]Steam profile ↗✓ No bans

1,444Tracked matches55%Win rate2020Tracked since
2,136Hours in CS8Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating20,000Top 50% of 190,010 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#76633 of 235895 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 43 days played since 25 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 20,000 +189 26 Jun21 Sept · 34 days played
17,95421,618peak 21,61826 Jun21 Sept
21,618Peak Premier in tracked matches
43Days played since 2026-06-25

Premier CS Rating

  • 1,618 below peak (21,618)
  • +1,675 over 30 days · improving
  • +189 over 90 days
  • Next: Red band at 25,000 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-18
  • Purple band first seen 2026-09-18

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

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=37,832), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianRed band medianvs Red band
Headshot rate36.3%46.9%49.2%13.0% short
Shot accuracy16.7%13.0%13.3%above
Kill/death ratio1.141.081.12meets
Match win rate42.6%46.7%48.5%5.9% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmarkka01PREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim60
Positioning54
Utility52

0–100 skill scores via Leetify.

Recent form

COLD47494Last 10047%Win rateLLLLLWLWLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −3.6pp headshot accuracy · −19ms reaction

Win rate down 30pp 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

  • 05 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 505ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 537ms

Last 20

  • 911 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 546ms

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 PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim6.0
Utility5.2
Positioning5.4
Opening Duels2.5

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

NiKo

Plays most like NiKo 83% 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

T-side openings. Opening success drops from 47% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 559ms 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

Aim6.0
Positioning5.4
Utility5.2
Mechanics6.3
Opening Duels2.3
Win Impact6.7

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time561ms−73ms
first ⅓ avg 633ms → last ⅓ avg 561ms
Headshot accuracy15.9%+0.7%
first ⅓ avg 15.2% → last ⅓ avg 15.9%

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.

Personal bests

0.13Best match rating · 13–5 · nuke, 18 Aug
50%Best headshot accuracy · 13–2 · ancient, 12 Aug
430msFastest reaction time · 13–3 · nuke, 21 Aug
13–1Biggest win · dust2, 31 Aug

Across the last 100 tracked matches.

Highlights

8Longest win streak
L5Current streak
67In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 69% over 13mirageWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
nukeC2191243%-0.00
infernoB21111052%0.01
mirageC1971237%-0.01
cacheC1871139%0.02
ancientS139469%0.01
overpass31233%0.02
anubis21150%0.03
vertigo21150%-0.00
dust2110100%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,861Lifetime kills
1.14K/D · Top 50% of Pink band
3,701Matches
42.6%Match win rate
36.3%Headshot %
16.7%Shot accuracy · Top 25% of Pink band
8,121MVPs
1,257Hours (in match)
2,250Bombs planted
736Bombs defused

Most-used weapons

AK-4722,061
MP93,008
XM10142,913
AWP2,625
MP72,118

Lifetime map wins

5,929inferno
3,200nuke
2,270train
1,376vertigo
1,210dust2
672cbble
423office
119lake

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.

16.1%Headshot accuracy
33.4%Accuracy (enemy spotted)
36.6%Spray accuracy
78.3%Counter-strafing
11.8°Preaim
559msReaction time
31.4%T opening success
46.9%CT opening success
0.41Enemies flashed / flash
9.2%Flash assists
12.96HE damage / grenade
4.71Flashes / 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 0.4101 — below the 0.5 mark we flag

    Grenade Lineups
  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 31.4218% — 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.

37% 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
nuke8–13-0.0413%21 Sept
inferno10–13-0.0118%21 Sept
mirage5–13-0.0211%17 Sept
nuke5–13-0.0621%16 Sept
anubis6–130.0210%12 Sept
inferno13–110.0317%12 Sept
nuke1–13-0.0719%9 Sept
ancient13–10-0.0110%8 Sept
nuke6–13-0.0018%8 Sept
nuke13–100.0415%7 Sept
mirage7–130.0110%4 Sept
ancient13–80.0421%4 Sept
cache13–16-0.0119%2 Sept
ancient10–13-0.0721%1 Sept
inferno13–110.0123%31 Aug
mirage13–70.0217%31 Aug
dust213–10.0223%31 Aug
cache11–130.1114%31 Aug
mirage13–9-0.0322%30 Aug
inferno13–90.0718%30 Aug
cache13–100.0311%30 Aug
inferno16–12-0.037%26 Aug
cache13–60.0122%26 Aug
inferno13–10-0.0620%25 Aug
inferno13–80.0314%23 Aug
cache16–140.0418%23 Aug
inferno7–13-0.0216%23 Aug
nuke10–130.0019%22 Aug
mirage15–150.038%22 Aug
ancient13–30.0116%22 Aug
inferno7–13-0.129%21 Aug
mirage13–90.1012%21 Aug
cache13–5-0.0115%21 Aug
ancient11–13-0.057%21 Aug
nuke13–3-0.0114%21 Aug
anubis13–30.0516%20 Aug
nuke13–30.0213%20 Aug
mirage7–13-0.0117%20 Aug
cache3–13-0.0124%20 Aug
cache14–160.0317%19 Aug
mirage13–60.0310%19 Aug
ancient11–13-0.0420%19 Aug
cache9–13-0.0420%19 Aug
nuke9–13-0.0416%19 Aug
mirage13–3-0.0415%18 Aug
nuke13–50.1319%18 Aug
inferno10–130.0216%17 Aug
nuke8–13-0.0313%17 Aug
ancient13–20.0350%12 Aug
mirage11–13-0.0522%12 Aug
inferno13–40.0418%12 Aug
cache15–15-0.0210%4 Aug
ancient5–130.0318%31 Jul
nuke13–30.0621%31 Jul
inferno11–13-0.0520%29 Jul
inferno13–60.0317%29 Jul
mirage13–20.0819%28 Jul
inferno13–40.0714%28 Jul
cache9–130.0121%28 Jul
ancient13–90.028%28 Jul
mirage4–13-0.0011%22 Jul
inferno10–130.0413%22 Jul
cache13–10.0411%22 Jul
cache3–13-0.0411%22 Jul
nuke10–130.008%21 Jul
cache13–40.102%21 Jul
cache3–13-0.0335%15 Jul
mirage3–13-0.0914%15 Jul
nuke13–110.0217%13 Jul
inferno8–13-0.0119%13 Jul
ancient13–30.0819%13 Jul
nuke13–100.0716%9 Jul
mirage10–13-0.0120%9 Jul
cache7–130.0313%9 Jul
cache12–12-0.0018%8 Jul
vertigo13–100.0224%7 Jul
cache13–10.0816%7 Jul
nuke9–13-0.1110%5 Jul
overpass13–10.0918%5 Jul
overpass15–150.0211%4 Jul
inferno6–13-0.047%4 Jul
nuke8–130.0015%3 Jul
overpass5–13-0.069%2 Jul
nuke13–10-0.0220%1 Jul
vertigo11–13-0.0212%30 Jun
mirage0–5-0.0343%30 Jun
nuke10–13-0.0122%30 Jun
inferno13–8-0.0212%30 Jun
ancient13–70.0413%29 Jun
mirage13–110.0117%29 Jun
inferno8–13-0.0513%29 Jun
ancient13–100.0113%29 Jun
mirage13–160.0310%28 Jun
inferno13–60.0716%28 Jun
nuke13–60.048%28 Jun
mirage8–13-0.0610%26 Jun
ancient13–110.0610%26 Jun
inferno6–130.1217%26 Jun
nuke7–13-0.0415%26 Jun
mirage2–13-0.096%25 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →