mehunen

mehunen — CS2 Stats

76561198307343787[U:1:347078059]Steam profile ↗✓ No bans

597Tracked matches56%Win rate2022Tracked since
1,352Hours in CS12Hrs last 2 wks
CSDB Rating5.8 SolidSupport
Premier CS Rating15,507Purple band · top ~26.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 15,507 -712 20 Aug – 29 Oct · 14 days played
15,00016,455peak 16,45520 Aug29 Oct
16,975Peak Premier in tracked matches
32Days played since 2026-08-17

Premier CS Rating

  • 948 below peak (16,455)
  • -75 over 30 days · steady
  • Next: Pink band at 20,000 — 4,493 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate42.4%42.7%43.8%1.3% short
Shot accuracy5.6%11.2%12.0%6.4% short
Kill/death ratio1.050.991.02above
Match win rate45.4%43.9%44.7%meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmehunenFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,507 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim47
Positioning58
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY47–45–8Last 10047%Win rateTLWLWLWLWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −1.2pp headshot accuracy · −7ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 598ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 639ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 643ms

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: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim4.7
Utility6.7
Positioning5.8
Opening Duels4.0
Clutch0.0

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

m0NESY

Plays most like m0NESY 66% 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 642ms 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

Aim4.7
Positioning5.8
Utility6.7
Mechanics5.7
Opening Duels6.4
Win Impact7.0

Composite 5.8/10 (Solid), 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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time636ms+2ms
first ⅓ avg 634ms → last ⅓ avg 636ms
Headshot accuracy17.3%+0.3%
first ⅓ avg 17.0% → last ⅓ avg 17.3%

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

0.29Best match rating · 9–0 · inferno, 25 Aug →
64%Best headshot accuracy · 13–4 · nuke, 10 Sept →
438msFastest reaction time · 4–13 · dust2, 31 Aug →
13–0Biggest win · cache, 25 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 73% over 15nukeWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
cacheA2112–957%0.00
infernoB2010–1050%-0.03
ancientS1511–473%0.01
mirageC146–843%-0.01
anubisD103–730%-0.02
nukeD102–820%-0.03
dust2D72–529%-0.04
vertigo—21–150%0.02
train—10–10%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,796Lifetime kills
1.05K/D · Top 50% of Level 4 players
2,546Matches
45.4%Match win rate · Top 50% of Level 4 players
42.4%Headshot %
5.6%Shot accuracy
7,961MVPs
1,008Hours (in match)
1,710Bombs planted
788Bombs defused

Most-used weapons

AK-4712,285
AWP4,737
MP91,974
SSG 081,692
MAC-101,301
SG 5531,020

Lifetime map wins

3,279inferno
2,593nuke
2,061vertigo
1,880dust2
464train
224italy
98office
73lake

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

Faceit stats

Combat

3Matches
33%Win rate
1.13Avg K/D
85.6ADR
45%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.8619.0
Mirage1100%1.9225.0
Nuke10%0.6012.0

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.

17.5%Headshot accuracy
31.9%Accuracy (enemy spotted)
38.7%Spray accuracy
75.7%Counter-strafing
13.1°Preaim
642msReaction time
61.9%T opening success
49.1%CT opening success
0.65Enemies flashed / flash
14.5%Flash assists
5.66HE damage / grenade
12.38Flashes / 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 13.1008° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Nuke

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust215–15-0.059%29 Oct →
ancient5–13-0.0613%28 Oct →
dust213–10-0.0412%26 Oct →
inferno1–9-0.1210%24 Oct →
inferno9–50.0717%24 Oct →
inferno1–9-0.2010%24 Oct →
inferno9–5-0.0138%24 Oct →
inferno7–9-0.1113%23 Oct →
inferno9–10.199%23 Oct →
mirage13–50.0315%23 Oct →
cache13–100.0117%19 Oct →
ancient13–60.0420%19 Oct →
dust26–13-0.0510%17 Oct →
anubis9–130.0318%17 Oct →
cache13–11-0.0212%17 Oct →
inferno13–3-0.0518%16 Oct →
cache2–13-0.0518%16 Oct →
cache8–13-0.0214%16 Oct →
ancient15–150.0011%14 Oct →
cache10–130.0019%14 Oct →
nuke12–12-0.0525%14 Oct →
cache13–7-0.0210%13 Oct →
anubis13–10-0.0217%13 Oct →
nuke12–12-0.0431%9 Oct →
nuke12–120.0136%7 Oct →
dust25–13-0.0512%7 Oct →
inferno9–130.0213%3 Oct →
mirage16–14-0.0611%30 Sept →
inferno9–30.1718%30 Sept →
inferno13–9-0.078%30 Sept →
vertigo13–40.0417%27 Sept →
anubis3–13-0.0432%27 Sept →
cache13–7-0.0339%23 Sept →
ancient13–60.0720%20 Sept →
ancient3–13-0.029%19 Sept →
mirage10–13-0.0130%19 Sept →
ancient13–40.0314%18 Sept →
dust213–10.0027%18 Sept →
nuke13–9-0.019%18 Sept →
cache13–90.0626%13 Sept →
anubis13–90.009%13 Sept →
cache12–12-0.0516%12 Sept →
vertigo6–130.0018%10 Sept →
nuke13–4-0.0264%10 Sept →
nuke1–13-0.0340%7 Sept →
nuke11–13-0.0728%7 Sept →
mirage1–13-0.0220%31 Aug →
dust24–13-0.0414%31 Aug →
inferno8–8-0.048%30 Aug →
inferno4–9-0.1410%30 Aug →
cache7–13-0.0720%30 Aug →
cache8–130.1819%30 Aug →
inferno7–9-0.0318%25 Aug →
inferno9–00.2923%25 Aug →
inferno0–9-0.2511%25 Aug →
cache13–00.0814%25 Aug →
cache7–130.0115%25 Aug →
cache10–13-0.0115%24 Aug →
dust25–13-0.0612%24 Aug →
anubis12–160.0118%21 Aug →
cache13–5-0.0220%21 Aug →
ancient13–60.0611%21 Aug →
anubis12–16-0.0413%21 Aug →
inferno11–13-0.0840%21 Aug →
ancient13–110.0317%21 Aug →
mirage3–13-0.0415%21 Aug →
mirage13–50.0713%21 Aug →
nuke2–13-0.029%21 Aug →
inferno13–7-0.098%21 Aug →
cache13–100.0216%21 Aug →
cache13–1-0.0025%20 Aug →
nuke4–13-0.079%20 Aug →
anubis7–13-0.0111%20 Aug →
cache13–9-0.0622%20 Aug →
anubis5–13-0.0414%20 Aug →
mirage13–8-0.0124%20 Aug →
inferno13–8-0.0218%20 Aug →
ancient13–6-0.0515%20 Aug →
mirage12–16-0.0418%19 Aug →
anubis13–7-0.0113%19 Aug →
ancient13–6-0.0517%19 Aug →
anubis15–15-0.0719%19 Aug →
mirage13–20.0314%19 Aug →
cache6–13-0.0219%19 Aug →
mirage13–9-0.0515%19 Aug →
ancient13–60.1115%19 Aug →
mirage8–130.0422%19 Aug →
cache13–00.0618%19 Aug →
nuke1–130.0014%19 Aug →
mirage9–13-0.0320%18 Aug →
mirage1–6-0.077%18 Aug →
ancient13–16-0.0413%18 Aug →
inferno10–13-0.0313%18 Aug →
cache13–7-0.0238%18 Aug →
ancient13–100.0112%18 Aug →
train10–130.0225%17 Aug →
ancient13–8-0.0318%17 Aug →
inferno9–6-0.0716%17 Aug →
mirage11–130.0222%17 Aug →
ancient13–30.0421%17 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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