nyrkki markus

nyrkki markus — CS2 Stats

FI76561198142064029[U:1:181798301]Steam profile ↗✓ No bans

1,107Tracked matches52%Win rate2020Tracked since
CSDB Rating6.6 SolidAll-Rounder
FaceitLevel 8 · 1,544 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGnyrkki markusFACEITLevel 8 · 1,544 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning68
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateWLLWLLWWWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +3.7pp headshot accuracy · −53ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 574ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 23%
  • Avg reaction 569ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 595ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.1
Utility5.8
Positioning6.8
Opening Duels5.5
Clutch6.4

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

jL

Plays most like jL 95% playstyle similarity

Most alike: utility contribution, 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

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 606ms 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

Aim8.1
Positioning6.8
Utility5.8
Mechanics7.9
Opening Duels5.1
Win Impact5.6

Composite 6.6/10 (Solid), 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 rating0.04+0.05
first ⅓ avg -0.00 → last ⅓ avg 0.04
Reaction time601ms+38ms
first ⅓ avg 563ms → last ⅓ avg 601ms
Headshot accuracy20.0%+1.1%
first ⅓ avg 18.8% → last ⅓ avg 20.0%

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

0.30Best match rating · 9–4 · sanctum, 12 Jun →
40%Best headshot accuracy · 2–13 · mirage, 28 May →
359msFastest reaction time · 5–1 · train, 2 Feb →
13–2Biggest win · overpass, 12 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–3In matches decided by ≤2 rounds

Map breakdown

trainBest map · 86% over 7dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoS1711–665%0.03
mirageB136–746%0.00
ancientS96–367%0.04
overpassA95–456%0.05
anubisC94–544%-0.01
dust2D81–713%0.02
nukeD82–625%0.02
cacheA74–357%0.04
trainS76–186%0.04
officeC52–340%-0.02
vertigo—43–175%0.04
agency—20–20%-0.05
sanctum—11–0100%0.30
warden—10–10%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

252Matches
56%Win rate
1.27Avg K/D
78.8ADR
50%Headshot %

Clutches & streaks

52%1v1 clutch win
15%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3352%1.2216.8
Dust22282%1.3815.1
Inferno1060%1.4716.1
Nuke956%1.0214.8
Vertigo425%0.6610.3
Ancient10%0.9417.0
Anubis10%0.5712.0

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
38.5%Accuracy (enemy spotted)
42.7%Spray accuracy
85.5%Counter-strafing
10.2°Preaim
606msReaction time
44.2%T opening success
56.5%CT opening success
0.64Enemies flashed / flash
8.6%Flash assists
9.02HE damage / grenade
10.03Flashes / match

Recommended for you

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.

13% win rate across 8 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
cache13–110.0829%2 Sept →
inferno3–130.0118%2 Sept →
cache9–13-0.0510%29 Aug →
ancient13–90.0427%28 Aug →
inferno6–130.1123%28 Aug →
dust23–130.0013%28 Aug →
cache13–90.0336%12 Jun →
sanctum9–40.3031%12 Jun →
overpass13–20.0515%12 Jun →
nuke9–130.0228%12 Jun →
anubis13–100.0217%12 Jun →
ancient13–20.1518%12 Jun →
inferno13–90.0319%12 Jun →
ancient2–130.0210%12 Jun →
dust212–120.047%28 May →
mirage2–13-0.1240%28 May →
train13–60.0323%28 May →
ancient3–9-0.0315%28 May →
dust28–130.0821%27 May →
ancient13–70.1320%27 May →
anubis5–00.0222%27 May →
cache10–130.1315%27 May →
inferno13–11-0.0224%26 May →
inferno10–13-0.0213%25 May →
cache13–50.0415%25 May →
cache11–13-0.0312%15 May →
nuke5–13-0.0116%15 May →
train13–30.1328%15 May →
inferno6–30.1616%15 May →
cache13–40.1125%15 May →
anubis4–9-0.0513%2 Feb →
train5–1-0.0025%2 Feb →
mirage13–90.0113%2 Feb →
anubis7–130.0017%2 Feb →
overpass13–40.1224%1 Feb →
mirage13–11-0.0017%1 Feb →
nuke6–13-0.0034%1 Feb →
inferno13–30.0616%1 Feb →
vertigo13–20.1228%1 Feb →
mirage6–130.0130%1 Feb →
train10–130.0926%1 Feb →
ancient13–40.0713%1 Feb →
anubis7–130.0218%31 Jan →
inferno13–6-0.0113%31 Jan →
mirage7–13-0.0124%31 Jan →
train13–110.0621%31 Jan →
inferno8–130.0612%31 Jan →
overpass13–110.1740%31 Jan →
vertigo13–90.0215%31 Jan →
mirage11–13-0.0325%31 Jan →
anubis4–13-0.0723%31 Jan →
dust27–13-0.0323%31 Jan →
train13–5-0.0512%31 Jan →
nuke11–130.1020%29 Jan →
overpass12–120.0722%29 Jan →
warden10–130.0218%29 Jan →
mirage13–100.1619%29 Jan →
inferno13–100.0111%29 Jan →
dust210–130.0517%29 Jan →
ancient13–10-0.0021%29 Jan →
overpass13–70.1420%28 Jan →
nuke13–30.0712%27 Jan →
dust210–130.0219%27 Jan →
mirage13–50.0529%27 Jan →
inferno8–2-0.0229%27 Jan →
anubis13–60.0330%27 Jan →
mirage13–9-0.0314%26 Jan →
overpass12–12-0.0615%26 Jan →
nuke13–50.0221%26 Jan →
overpass8–130.0113%25 Jan →
inferno10–130.0628%25 Jan →
mirage13–90.0229%25 Jan →
ancient13–40.059%25 Jan →
mirage10–13-0.0233%25 Jan →
nuke9–13-0.0022%25 Jan →
inferno13–80.0117%23 Jan →
dust213–110.0121%23 Jan →
inferno13–60.0723%23 Jan →
anubis12–12-0.0319%23 Jan →
dust24–13-0.0232%21 Jan →
mirage8–13-0.0210%21 Jan →
inferno13–9-0.0116%21 Jan →
office2–11-0.100%4 Dec →
agency9–13-0.0520%30 Nov →
agency2–13-0.049%30 Nov →
office6–130.0312%30 Nov →
office13–30.0212%30 Nov →
office9–13-0.0529%29 Nov →
office13–50.0219%29 Nov →
vertigo13–40.0920%29 Nov →
vertigo3–13-0.0518%29 Nov →
anubis13–3-0.0230%29 Nov →
train13–20.0515%29 Nov →
mirage2–13-0.0131%29 Nov →
ancient9–13-0.099%29 Nov →
inferno12–12-0.0512%29 Nov →
overpass7–13-0.056%29 Nov →
nuke10–13-0.0313%29 Nov →
overpass6–30.0240%29 Nov →
inferno13–30.1120%29 Nov →

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 →

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