MestariKynyttaja

MestariKynyttaja — CS2 Stats

FI76561199442484812[U:1:1482219084]Steam profile ↗✓ No bans

1,102Tracked matches38%Win rate2023Tracked since
1,885Hours in CS23Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating15,761Purple band · top ~25.4% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 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.

Rating over time

Premier CS Rating: 15,761 +141 11 Sept – 9 Oct · 14 days played
15,40216,754peak 16,75411 Sept9 Oct
Faceit ELO: 986 +0 20 Sept – 25 Sept · 2 observations
986986peak 98620 Sept25 Sept
17,043Peak Premier in tracked matches
986Highest Faceit ELO seen on CSDB
32Days played since 2026-07-08

Premier CS Rating

  • 993 below peak (16,754)
  • +141 over 30 days · steady
  • Next: Pink band at 20,000 — 4,239 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-09-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate40.6%44.3%46.9%6.3% short
Shot accuracy9.1%11.9%13.0%3.9% short
Kill/death ratio0.931.031.080.15 short
Match win rate46.5%45.2%46.7%meets

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGMestariKynyttajaPREMIER15,761 · Purple bandPEAK ELO986csdb.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

Aim75
Positioning55
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY44–48–8Last 10044%Win rateLWWLWWLLWL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −1.5pp headshot accuracy · +47ms 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 -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 617ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 624ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 600ms

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 (+1.1 against its own average).

Aim7.5
Utility5.3
Positioning5.5
Opening Duels2.4
Clutch4.4

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

iM

Plays most like iM 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 58% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 613ms 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

Aim7.5
Positioning5.5
Utility5.3
Mechanics7.5
Opening Duels4.7
Win Impact1.0

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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time603ms−43ms
first ⅓ avg 646ms → last ⅓ avg 603ms
Headshot accuracy14.9%−1.0%
first ⅓ avg 15.9% → last ⅓ avg 14.9%

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

0.12Best match rating · 13–3 · shelter, 13 Aug →
39%Best headshot accuracy · 4–13 · anubis, 27 Sept →
414msFastest reaction time · 13–10 · inferno, 13 Aug →
13–0Biggest win · boulder, 8 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 75% over 8anubisWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB178–947%0.01
dust2A169–756%-0.02
anubisD112–918%-0.00
cacheB115–645%-0.02
ancientD103–730%0.01
infernoS86–275%-0.00
nukeC83–538%-0.02
train—42–250%-0.03
vertigo—41–325%-0.01
overpass—31–233%0.02
italy—31–233%-0.02
boulder—31–233%0.02
office—11–0100%-0.03
shelter—11–0100%0.12

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,019Lifetime kills
0.93K/D
2,596Matches
46.5%Match win rate · Top 50% of Purple band
40.6%Headshot %
9.1%Shot accuracy
3,523MVPs
984Hours (in match)
1,864Bombs planted
398Bombs defused

Most-used weapons

Lifetime map wins

3,680nuke
3,638inferno
2,138vertigo
1,834dust2
617train
117italy
85office
17cbble

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

Faceit stats

Combat

57Matches
51%Win rate
0.83Avg K/D
70.6ADR
39%Headshot %

Clutches & streaks

42%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1145%0.9816.2
Dust21040%0.7011.8
Anubis1070%0.9411.9
Nuke850%0.6510.0
Mirage743%0.7412.7
Inferno650%0.8712.2
Train250%1.1620.0
Vertigo1100%1.009.0

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.

15.2%Headshot accuracy
39.9%Accuracy (enemy spotted)
40.5%Spray accuracy
83.7%Counter-strafing
10.4°Preaim
613msReaction time
57.8%T opening success
39.7%CT opening success
0.68Enemies flashed / flash
4.2%Flash assists
6.14HE damage / grenade
9.41Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.7079% — below the 40% mark we flag

Spend your practice time on Anubis

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.0611%9 Oct →
cache13–9-0.0119%9 Oct →
dust213–10-0.027%8 Oct →
ancient10–13-0.0810%8 Oct →
inferno13–9-0.0313%8 Oct →
inferno13–110.0316%8 Oct →
cache4–13-0.0815%7 Oct →
dust25–13-0.0323%6 Oct →
anubis9–0-0.037%6 Oct →
anubis10–13-0.0817%2 Oct →
cache13–60.008%2 Oct →
mirage6–130.0326%2 Oct →
mirage13–100.029%2 Oct →
inferno16–140.037%1 Oct →
dust26–13-0.0539%1 Oct →
cache13–2-0.070%1 Oct →
ancient4–13-0.0111%1 Oct →
mirage11–13-0.0115%1 Oct →
dust213–80.0110%1 Oct →
train8–13-0.0726%1 Oct →
overpass11–130.0322%1 Oct →
dust22–13-0.066%1 Oct →
mirage8–130.0416%30 Sept →
nuke10–13-0.0317%30 Sept →
cache8–13-0.0121%30 Sept →
mirage16–120.0010%30 Sept →
anubis4–130.0139%27 Sept →
anubis0–13-0.0720%23 Sept →
ancient12–120.0313%23 Sept →
vertigo2–13-0.009%23 Sept →
mirage13–50.0217%22 Sept →
inferno5–13-0.032%18 Sept →
dust213–5-0.0515%17 Sept →
dust29–13-0.0511%17 Sept →
dust25–13-0.0910%16 Sept →
dust213–10-0.0217%16 Sept →
mirage13–30.0211%16 Sept →
inferno13–20.1116%16 Sept →
anubis8–130.0418%16 Sept →
anubis6–13-0.0622%11 Sept →
dust213–70.0515%11 Sept →
mirage8–13-0.0323%11 Sept →
ancient10–130.0410%9 Sept →
mirage11–13-0.039%9 Sept →
italy7–13-0.0122%9 Sept →
cache10–130.0015%6 Sept →
mirage12–120.0723%6 Sept →
italy5–13-0.0114%6 Sept →
cache7–13-0.0428%3 Sept →
nuke13–30.0218%3 Sept →
mirage1–13-0.0031%3 Sept →
cache12–12-0.0113%1 Sept →
dust213–80.0518%1 Sept →
nuke13–10-0.0411%1 Sept →
mirage7–13-0.0718%1 Sept →
nuke9–13-0.048%1 Sept →
mirage13–10-0.0113%26 Aug →
cache3–13-0.0525%26 Aug →
ancient13–70.0822%26 Aug →
nuke5–13-0.0725%26 Aug →
dust211–13-0.0424%26 Aug →
train13–3-0.0115%26 Aug →
inferno7–13-0.0315%26 Aug →
boulder6–13-0.0113%22 Aug →
vertigo6–130.0213%22 Aug →
dust213–10-0.0321%22 Aug →
mirage13–60.1018%22 Aug →
overpass4–13-0.0018%19 Aug →
ancient10–13-0.0516%17 Aug →
anubis12–120.0216%16 Aug →
dust213–110.0317%16 Aug →
train13–60.0513%15 Aug →
office13–9-0.0321%13 Aug →
shelter13–30.1216%13 Aug →
anubis6–130.0219%13 Aug →
inferno13–10-0.0624%13 Aug →
ancient8–130.0119%13 Aug →
boulder12–120.007%11 Aug →
italy7–3-0.020%11 Aug →
mirage13–80.0414%10 Aug →
nuke16–140.0119%10 Aug →
ancient13–70.0924%10 Aug →
dust211–130.0027%8 Aug →
vertigo2–0-0.080%8 Aug →
overpass13–10.0418%8 Aug →
boulder13–00.0638%8 Aug →
ancient13–7-0.0214%31 Jul →
mirage13–5-0.0118%31 Jul →
nuke12–120.0520%29 Jul →
anubis13–70.0914%29 Jul →
vertigo10–130.0211%29 Jul →
mirage12–120.0711%29 Jul →
cache13–50.0118%29 Jul →
inferno13–1-0.048%29 Jul →
anubis7–130.0512%26 Jul →
ancient11–130.019%26 Jul →
nuke15–15-0.0713%26 Jul →
dust213–100.0212%26 Jul →
train3–13-0.1022%8 Jul →
cache9–50.0318%8 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.