Erkki Markunpoika

Erkki Markunpoika — CS2 Stats

FI76561198754946208[U:1:794680480]Steam profile ↗✓ No bans

511Tracked matches54%Win rate2026Tracked since
517Hours in CS16Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

+57Tracked matches · now 511
−25.0ppWin rate · 78.6% → 53.6%

Rating over time

26Days played since 2026-08-13

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim40
Positioning59
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY58–35–7Last 10058%Win rateWWLLWLWLWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +7.7pp headshot accuracy · +52ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 641ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 577ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 550ms

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 (+1.7 against its own average).

Aim4.0
Utility2.8
Positioning5.9
Opening Duels4.0

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

s1mple

Plays most like s1mple 73% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Counter-strafing. Only 59% 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

Aim4.0
Positioning5.9
Utility2.8
Mechanics1.9
Opening Duels5.3
Win Impact6.2

Composite 4.2/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time547ms−11ms
first ⅓ avg 558ms → last ⅓ avg 547ms
Headshot accuracy16.9%−0.2%
first ⅓ avg 17.2% → last ⅓ avg 16.9%

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

0.15Best match rating · 9–7 · vertigo, 15 Oct →
33%Best headshot accuracy · 13–5 · nuke, 3 Nov →
391msFastest reaction time · 10–13 · office, 4 Oct →
13–2Biggest win · nuke, 9 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
6–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 75% over 12mirageWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
officeC167–944%-0.01
cacheB147–750%-0.03
nukeS129–375%-0.04
vertigoS118–373%-0.01
dust2B105–550%-0.03
anubisB105–550%-0.00
infernoS96–367%-0.01
ancientA74–357%-0.00
mirageC52–340%-0.03
train—33–0100%0.03
shelter—11–0100%0.01
boulder—11–0100%0.00
italy—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,996Lifetime kills
1.03K/D · Top 50% of tracked players
969Matches
30.5%Match win rate
41.5%Headshot %
0.0%Shot accuracy
1,191MVPs
297Hours (in match)
225Bombs planted
70Bombs defused

Most-used weapons

Lifetime map wins

960office
852dust2
721vertigo
564nuke
484inferno
325train
149italy
31ar_shoots

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.

16.9%Headshot accuracy
30.1%Accuracy (enemy spotted)
30.0%Spray accuracy
58.7%Counter-strafing
10.9°Preaim
545msReaction time
48.8%T opening success
53.4%CT opening success
0.43Enemies flashed / flash
6.6%Flash assists
3.67HE damage / grenade
3.35Flashes / 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 0.4319 — below the 0.5 mark we flag

    Grenade Lineups →
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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–60.0314%3 Nov →
nuke13–5-0.0433%3 Nov →
mirage6–130.0316%3 Nov →
dust29–13-0.0521%2 Nov →
vertigo13–3-0.0129%2 Nov →
office11–13-0.0530%2 Nov →
vertigo13–7-0.0629%1 Nov →
office11–130.0118%29 Oct →
office13–7-0.0013%26 Oct →
nuke11–13-0.0823%26 Oct →
ancient1–13-0.0411%26 Oct →
shelter13–90.0133%25 Oct →
boulder13–30.000%25 Oct →
office13–90.0916%25 Oct →
vertigo12–12-0.0217%25 Oct →
vertigo13–10-0.010%24 Oct →
anubis14–16-0.0310%24 Oct →
inferno13–50.0330%24 Oct →
cache7–13-0.0315%21 Oct →
cache8–13-0.0416%21 Oct →
office13–40.1019%19 Oct →
dust22–13-0.0118%19 Oct →
italy12–12-0.026%18 Oct →
office13–80.015%18 Oct →
inferno13–7-0.0118%18 Oct →
dust27–13-0.0621%16 Oct →
nuke2–13-0.0618%16 Oct →
nuke13–7-0.0513%16 Oct →
office4–13-0.0712%16 Oct →
office13–3-0.030%16 Oct →
ancient7–130.0818%16 Oct →
cache4–13-0.0614%16 Oct →
anubis12–120.0722%16 Oct →
dust213–6-0.0717%16 Oct →
vertigo9–70.159%15 Oct →
inferno9–70.0818%15 Oct →
ancient9–13-0.0125%15 Oct →
anubis13–5-0.0119%14 Oct →
ancient13–5-0.037%14 Oct →
office12–12-0.1424%14 Oct →
dust27–13-0.0117%9 Oct →
anubis4–13-0.055%9 Oct →
nuke13–2-0.0211%9 Oct →
train13–90.0413%9 Oct →
mirage5–13-0.0816%9 Oct →
ancient13–60.0423%9 Oct →
nuke13–9-0.0117%4 Oct →
dust213–20.0723%4 Oct →
office10–13-0.0410%4 Oct →
train13–11-0.0218%4 Oct →
cache12–10-0.0518%4 Oct →
anubis8–130.0717%3 Oct →
vertigo13–8-0.0418%3 Oct →
office8–13-0.0613%3 Oct →
dust212–12-0.0519%29 Sept →
office9–130.0115%29 Sept →
train13–60.078%28 Sept →
inferno0–13-0.070%13 Sept →
inferno11–13-0.0512%12 Sept →
cache13–50.0114%12 Sept →
vertigo11–13-0.0019%12 Sept →
cache2–13-0.0517%11 Sept →
nuke13–8-0.0317%11 Sept →
vertigo13–10-0.0610%11 Sept →
anubis8–13-0.085%11 Sept →
cache6–13-0.0313%5 Sept →
nuke13–2-0.120%5 Sept →
inferno13–10-0.0715%5 Sept →
mirage13–5-0.049%5 Sept →
ancient13–6-0.0224%5 Sept →
vertigo13–4-0.0611%5 Sept →
anubis13–6-0.0430%5 Sept →
cache13–100.0015%5 Sept →
nuke13–8-0.0226%5 Sept →
inferno12–12-0.0119%5 Sept →
cache13–9-0.046%31 Aug →
cache13–4-0.0121%31 Aug →
nuke13–2-0.0213%31 Aug →
cache13–60.0215%31 Aug →
dust213–10-0.0714%24 Aug →
office12–12-0.0118%24 Aug →
office13–20.018%23 Aug →
anubis13–90.0215%23 Aug →
ancient13–5-0.0213%23 Aug →
mirage13–5-0.0231%23 Aug →
inferno13–11-0.0119%23 Aug →
anubis13–80.0214%23 Aug →
vertigo4–130.017%23 Aug →
cache2–13-0.0520%23 Aug →
office9–11-0.0818%23 Aug →
nuke8–13-0.042%23 Aug →
cache13–7-0.0425%23 Aug →
anubis13–20.0411%23 Aug →
dust213–6-0.0318%23 Aug →
inferno13–50.0333%23 Aug →
cache3–13-0.0924%23 Aug →
nuke13–6-0.0322%23 Aug →
mirage8–13-0.0614%23 Aug →
dust213–10-0.0024%13 Aug →
office8–130.0511%13 Aug →

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 →

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