ase ja alaston mies

ase ja alaston mies — CS2 Stats

FI76561198864995042[U:1:904729314]Steam profile ↗✓ No bans

930Tracked matches53%Win rate2020Tracked since
1,445Hours in CS
CSDB Rating6.6 SolidAll-Rounder
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGase ja alaston miesFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning54
Utility57

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateLLLLLWLLLL

Last 10 vs previous 10: −60pp win rate · −0.04 avg rating · +1.3pp headshot accuracy · +59ms reaction

Win rate down 60pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 705ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 685ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 656ms

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.

Aim8.2
Utility5.7
Positioning5.4
Opening Duels4.5
Clutch4.0

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

ZywOo

Plays most like ZywOo 97% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Reaction time. 639ms 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

Aim8.2
Positioning5.4
Utility5.7
Mechanics8.0
Opening Duels4.2
Win Impact6.1

Composite 6.6/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time648ms+1ms
first ⅓ avg 647ms → last ⅓ avg 648ms
Headshot accuracy23.1%+0.3%
first ⅓ avg 22.8% → last ⅓ avg 23.1%

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

0.16Best match rating · 9–6 · nuke, 20 Feb →
47%Best headshot accuracy · 8–13 · inferno, 2 Feb →
438msFastest reaction time · 13–6 · inferno, 20 Feb →
13–1Biggest win · mirage, 20 Feb →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L5Current streak
5–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 60% over 15mirageWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
infernoC2711–1641%0.01
mirageC176–1135%-0.01
ancientA159–660%-0.00
nukeB126–650%0.01
dust2B105–550%0.01
anubisC52–340%-0.01
overpass—42–250%-0.02
vertigo—42–250%0.04
office—43–175%-0.02
train—11–0100%0.10
agency—10–10%0.00

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

62,872Lifetime kills
1.05K/D
3,081Matches
41.0%Match win rate
51.8%Headshot %
16.9%Shot accuracy
8,456MVPs
1,445Hours (in match)
1,784Bombs planted
609Bombs defused

Most-used weapons

AK-4721,438
AWP6,357
FAMAS1,420
MP71,075
SG 5531,015

Lifetime map wins

9,791inferno
3,134nuke
1,207dust2
1,197vertigo
824train
453cbble
244lake
191office

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

Faceit stats

Combat

218Matches
53%Win rate
1.01Avg K/D
77.3ADR
47%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno729%0.7813.0
Ancient540%0.9414.6
Nuke425%0.8411.3
Mirage450%0.9417.3
Anubis367%1.0114.3
Overpass250%1.0414.0
Train1100%1.0016.0
Dust210%1.0617.0

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.

22.2%Headshot accuracy
38.6%Accuracy (enemy spotted)
38.1%Spray accuracy
86.1%Counter-strafing
8.8°Preaim
639msReaction time
40.8%T opening success
52.6%CT opening success
0.59Enemies flashed / flash
7.7%Flash assists
8.01HE damage / grenade
15.94Flashes / match

Recommended for you

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
ancient9–13-0.0212%6 Oct →
inferno11–13-0.0125%5 Oct →
inferno7–13-0.0643%27 Sept →
inferno7–90.0629%27 Sept →
inferno8–130.0122%26 Sept →
ancient13–8-0.0015%19 Sept →
inferno6–9-0.0942%19 Sept →
dust25–13-0.0826%2 Mar →
dust28–130.0230%26 Feb →
nuke0–13-0.0625%26 Feb →
nuke13–8-0.0229%25 Feb →
inferno11–13-0.0115%25 Feb →
dust213–100.0128%24 Feb →
mirage1–8-0.0538%24 Feb →
nuke10–130.0839%24 Feb →
ancient13–9-0.0619%23 Feb →
inferno13–100.0310%23 Feb →
dust213–60.0829%21 Feb →
mirage16–140.0127%21 Feb →
mirage13–30.1121%21 Feb →
mirage9–130.0119%21 Feb →
ancient13–80.0520%21 Feb →
mirage13–10.0421%20 Feb →
inferno13–60.0725%20 Feb →
overpass7–13-0.0118%20 Feb →
nuke13–60.0530%20 Feb →
anubis13–7-0.0114%20 Feb →
anubis9–130.037%20 Feb →
ancient13–60.0418%20 Feb →
ancient13–7-0.0210%20 Feb →
nuke9–60.1617%20 Feb →
anubis5–13-0.0213%19 Feb →
dust213–40.0328%19 Feb →
inferno8–13-0.0218%19 Feb →
nuke8–130.0014%19 Feb →
dust213–70.0420%19 Feb →
mirage13–100.0318%19 Feb →
vertigo8–80.0630%19 Feb →
ancient15–15-0.0020%18 Feb →
inferno13–10.0619%18 Feb →
mirage3–13-0.0314%18 Feb →
inferno9–40.0529%18 Feb →
inferno13–90.0131%17 Feb →
nuke13–11-0.0023%17 Feb →
inferno9–50.0032%17 Feb →
mirage2–13-0.1214%16 Feb →
dust26–13-0.0021%16 Feb →
nuke6–90.0136%16 Feb →
inferno12–120.1517%14 Feb →
inferno4–13-0.0026%13 Feb →
mirage3–13-0.0318%13 Feb →
inferno13–8-0.0226%12 Feb →
inferno13–100.0632%11 Feb →
ancient9–130.0229%10 Feb →
inferno8–13-0.0147%2 Feb →
inferno12–120.0238%2 Feb →
anubis8–13-0.0219%27 Jan →
inferno4–9-0.0622%31 Oct →
vertigo7–9-0.0112%31 Oct →
dust213–40.0731%26 Oct →
inferno10–13-0.0442%25 Oct →
mirage2–130.0123%21 Oct →
dust214–160.0126%17 Oct →
ancient13–4-0.0512%17 Oct →
inferno8–13-0.0615%17 Oct →
ancient3–13-0.0227%13 Oct →
ancient13–16-0.0319%11 Oct →
nuke13–8-0.0427%11 Oct →
mirage13–16-0.0624%8 Oct →
inferno3–9-0.0622%7 Oct →
mirage13–6-0.0142%26 Sept →
nuke8–13-0.0536%21 Sept →
train13–10.1023%21 Sept →
office13–20.0225%19 Sept →
anubis13–4-0.0120%19 Sept →
vertigo13–70.0441%19 Sept →
inferno9–50.1124%19 Sept →
overpass9–7-0.0318%19 Sept →
vertigo9–40.0942%19 Sept →
mirage12–160.0025%18 Sept →
mirage13–30.0226%14 Sept →
ancient13–10.0517%14 Sept →
mirage9–13-0.0229%13 Sept →
mirage6–13-0.0632%12 Sept →
office13–10-0.0628%12 Sept →
office4–3-0.030%12 Sept →
agency7–130.0014%12 Sept →
office9–13-0.0124%12 Sept →
inferno9–13-0.0214%12 Sept →
ancient11–13-0.038%12 Sept →
ancient13–40.0016%12 Sept →
nuke7–13-0.0710%11 Sept →
nuke13–50.0525%11 Sept →
inferno13–10-0.0416%11 Sept →
dust22–13-0.0318%11 Sept →
inferno13–80.0221%11 Sept →
overpass13–11-0.0229%10 Sept →
ancient13–80.0029%10 Sept →
mirage8–13-0.0317%10 Sept →
overpass11–13-0.0411%10 Sept →

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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