mlahtinen (parkside enjoyer)

mlahtinen (parkside enjoyer) — CS2 Stats

UY76561198192526678[U:1:232260950]Steam profile ↗✓ No bans

1,478Tracked matches50%Win rate2024Tracked since
1,817Hours in CS23Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating15,121Purple band · top ~27.9% of ranked players (population est.)
FaceitLevel 6 · 922 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 15,121 -1,083 11 Sept – 12 Nov · 27 days played
13,63916,204peak 16,20411 Sept12 Nov
16,204Peak Premier in tracked matches
1,171Highest Faceit ELO seen on CSDB
29Days played since 2026-09-11

Faceit ELO

  • 249 below peak (1,171)
  • Next: Level 5 at 1,051 — 129 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-11
  • Level 3 first seen 2026-09-11

Premier CS Rating

  • 1,083 below peak (16,204)
  • +588 over 30 days · improving
  • Next: Pink band at 20,000 — 4,879 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-11
  • Blue band first seen 2026-09-11

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate43.0%44.8%45.7%2.7% short
Shot accuracy0.1%12.4%12.7%12.6% short
Kill/death ratio1.091.031.05above
Match win rate51.8%45.2%45.7%above

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmlahtinen (parkside enjoy…FACEITLevel 6 · 922 ELOSTANDINGTop 54.0% of rankedPREMIER15,121 · Purple bandPEAK ELO1,171csdb.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

Aim52
Positioning46
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateWLWWWLWWTL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +4.1pp headshot accuracy · −33ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 514ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 549ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 565ms

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 (+1.2 against its own average).

Aim5.2
Utility4.3
Positioning4.6
Opening Duels1.0
Clutch3.8

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 82% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

CT openings. Opening success drops from 53% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 556ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim5.2
Positioning4.6
Utility4.3
Mechanics3.3
Opening Duels3.7
Win Impact5.0

Composite 4.5/10 (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-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time551ms−22ms
first ⅓ avg 573ms → last ⅓ avg 551ms
Headshot accuracy14.2%−1.6%
first ⅓ avg 15.9% → last ⅓ avg 14.2%

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

0.37Best match rating · 9–1 · nuke, 29 Sept →
37%Best headshot accuracy · 2–13 · nuke, 17 Oct →
352msFastest reaction time · 5–13 · ancient, 21 Oct →
13–0Biggest win · anubis, 12 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 71% over 7mirageWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB178–947%-0.01
mirageC176–1135%-0.01
dust2C167–944%-0.02
anubisC125–742%0.00
nukeC114–736%0.05
cacheB115–645%0.01
ancientS75–271%0.01
office—32–167%0.08
train—20–20%0.01
overpass—22–0100%0.01
vertigo—21–150%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,653Lifetime kills
1.09K/D · Top 50% of Level 6 players
3,244Matches
51.8%Match win rate · Top 10% of Level 6 players
43.0%Headshot %
0.1%Shot accuracy
10,082MVPs
870Hours (in match)
3,670Bombs planted
1,085Bombs defused

Most-used weapons

Lifetime map wins

5,918inferno
4,638nuke
3,209dust2
2,576vertigo
684train
606office
262italy
175lake

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

Faceit stats

Combat

449Matches
49%Win rate
0.87Avg K/D
73.6ADR
41%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust210049%0.8512.4
Mirage9746%0.7912.3
Inferno7854%0.9314.6
Nuke6148%0.9614.1
Ancient5553%0.9314.1
Cache2157%0.8112.7
Anubis1547%0.7710.7
Vertigo838%0.9010.5

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.

14.6%Headshot accuracy
30.3%Accuracy (enemy spotted)
35.6%Spray accuracy
64.8%Counter-strafing
8.9°Preaim
556msReaction time
53.3%T opening success
36.7%CT opening success
0.41Enemies flashed / flash
3.4%Flash assists
8.17HE damage / grenade
8.68Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.6023% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4063 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 36.6695% — 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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–50.0411%12 Nov →
mirage10–13-0.0416%12 Nov →
anubis13–00.0714%12 Nov →
ancient13–6-0.0014%12 Nov →
anubis13–10.1419%12 Nov →
mirage8–13-0.0417%12 Nov →
inferno13–90.0717%12 Nov →
nuke13–10.0817%12 Nov →
inferno8–8-0.0423%12 Nov →
mirage14–16-0.0122%10 Nov →
nuke9–13-0.0011%10 Nov →
inferno13–10-0.0411%10 Nov →
ancient13–70.0211%7 Nov →
dust213–11-0.0415%5 Nov →
inferno13–11-0.0115%5 Nov →
cache13–6-0.0215%5 Nov →
mirage6–130.0518%29 Oct →
dust25–13-0.038%29 Oct →
cache5–130.0612%29 Oct →
inferno6–13-0.0413%29 Oct →
anubis6–130.0116%28 Oct →
anubis6–13-0.0211%27 Oct →
cache13–11-0.0311%26 Oct →
dust28–13-0.039%26 Oct →
dust213–10-0.0613%26 Oct →
ancient13–8-0.0329%26 Oct →
inferno13–00.000%26 Oct →
cache6–13-0.0115%23 Oct →
dust24–13-0.0612%23 Oct →
inferno3–13-0.0516%23 Oct →
nuke9–130.0022%23 Oct →
dust23–13-0.024%23 Oct →
inferno7–13-0.0414%23 Oct →
mirage13–5-0.029%23 Oct →
mirage13–110.1111%22 Oct →
inferno6–13-0.0014%22 Oct →
cache9–130.0713%22 Oct →
office7–130.006%21 Oct →
anubis3–130.0816%21 Oct →
anubis2–13-0.0730%21 Oct →
train5–130.009%21 Oct →
ancient5–130.0416%21 Oct →
mirage5–13-0.0530%21 Oct →
nuke11–130.015%21 Oct →
dust24–13-0.0414%21 Oct →
mirage13–80.0710%21 Oct →
ancient13–70.1221%20 Oct →
overpass9–4-0.1218%20 Oct →
cache13–90.0111%20 Oct →
nuke10–13-0.0211%20 Oct →
nuke2–13-0.1137%17 Oct →
inferno10–13-0.079%16 Oct →
ancient13–50.0311%16 Oct →
dust213–30.0126%16 Oct →
inferno13–8-0.0217%16 Oct →
mirage13–40.0229%16 Oct →
nuke13–50.0422%16 Oct →
mirage4–13-0.076%14 Oct →
dust213–50.0016%14 Oct →
mirage13–50.0421%14 Oct →
inferno15–150.0716%11 Oct →
office13–50.0916%10 Oct →
office13–20.1514%10 Oct →
nuke9–130.1216%10 Oct →
train12–120.0220%10 Oct →
dust26–40.0512%10 Oct →
mirage12–120.026%10 Oct →
inferno7–130.0121%10 Oct →
cache13–30.0215%10 Oct →
dust25–13-0.0623%10 Oct →
dust213–4-0.0111%9 Oct →
anubis10–13-0.0518%8 Oct →
mirage11–13-0.0913%8 Oct →
inferno13–100.0419%8 Oct →
mirage11–13-0.074%3 Oct →
ancient2–13-0.0724%3 Oct →
dust213–100.0222%2 Oct →
cache5–13-0.0130%1 Oct →
dust26–130.0016%1 Oct →
cache3–130.033%1 Oct →
overpass13–90.1410%30 Sept →
vertigo13–90.0712%30 Sept →
inferno11–130.0112%30 Sept →
nuke9–10.376%29 Sept →
anubis13–8-0.039%29 Sept →
cache6–10.0711%29 Sept →
nuke13–90.0018%28 Sept →
mirage13–160.008%28 Sept →
anubis13–110.0013%28 Sept →
anubis10–13-0.0316%27 Sept →
mirage13–20.0319%27 Sept →
inferno13–6-0.0212%26 Sept →
anubis13–11-0.0220%26 Sept →
anubis2–13-0.0811%24 Sept →
dust27–13-0.0431%24 Sept →
cache8–13-0.0631%24 Sept →
mirage6–13-0.089%23 Sept →
dust29–13-0.0116%23 Sept →
nuke3–130.0119%23 Sept →
vertigo3–13-0.0222%23 Sept →

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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