KILIPÄÄ OMW2FYB

KILIPÄÄ OMW2FYB — CS2 Stats

VG76561198060011475[U:1:99745747]Steam profile ↗✓ No bans

721Tracked matches39%Win rate2020Tracked since
1,459Hours in CS
CSDB Rating5.1 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,535 -146 26 Sept – 14 Dec · 7 days played
9,97214,665peak 14,66526 Sept14 Dec
14,665Peak Premier in tracked matches
59Days played since 2023-08-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim60
Positioning56
Utility37

0–100 skill scores via Leetify.

Recent form

COLD40–56–4Last 10040%Win rateWLLLLLLLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +4.8pp headshot accuracy · −59ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 600ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 620ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 649ms

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).

Aim6.0
Utility3.7
Positioning5.6
Opening Duels3.8
Clutch4.6

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 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 649ms 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

Aim6.0
Positioning5.6
Utility3.7
Mechanics7.8
Opening Duels3.1
Win Impact1.4

Composite 5.1/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time657ms+47ms
first ⅓ avg 610ms → last ⅓ avg 657ms
Headshot accuracy16.0%+2.3%
first ⅓ avg 13.7% → last ⅓ avg 16.0%

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

0.14Best match rating · 13–6 · inferno, 1 May →
31%Best headshot accuracy · 10–4 · vertigo, 24 Sept →
414msFastest reaction time · 10–4 · vertigo, 24 Sept →
16–4Biggest win · nuke, 12 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–11In matches decided by ≤2 rounds
27Overtime games

Map breakdown

trainBest map · 100% over 5dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeC2911–1838%0.00
infernoC145–936%0.03
ancientC135–838%-0.01
anubisA106–460%0.02
vertigoD93–633%-0.01
mirageD72–529%-0.03
overpassD72–529%-0.01
dust2D51–420%-0.04
trainS55–0100%0.03
whistle—10–10%-0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,645Lifetime kills
0.87K/D
2,795Matches
40.9%Match win rate
46.0%Headshot % · Top 50% of tracked players
20.0%Shot accuracy · Top 5% of tracked players
6,931MVPs
1,459Hours (in match)
2,751Bombs planted
677Bombs defused

Most-used weapons

AK-4728,165
AWP5,136
FAMAS1,268
Knife1,167

Lifetime map wins

5,784nuke
4,114train
3,520inferno
2,121vertigo
2,104dust2
35office
25cbble
20lake

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

Faceit stats

Combat

1,202Matches
50%Win rate
1.05Avg K/D
82.5ADR
38%Headshot %

Clutches & streaks

43%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno6344%1.1317.1
Nuke5267%1.2517.8
Anubis3456%1.1017.4
Ancient2544%1.1416.4
Mirage2232%0.9316.2
Train2241%1.1618.9
Dust21844%1.0016.0
Vertigo1258%1.1415.6

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.

15.4%Headshot accuracy
34.1%Accuracy (enemy spotted)
38.1%Spray accuracy
85.3%Counter-strafing
11.4°Preaim
649msReaction time
43.8%T opening success
41.2%CT opening success
0.58Enemies flashed / flash
6.2%Flash assists
9.86HE damage / grenade
7.61Flashes / match

Recommended for you

Spend your practice time on Dust 2

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 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–100.0713%30 Aug →
nuke4–130.1023%27 Mar →
mirage9–13-0.0015%27 Mar →
anubis2–13-0.0528%27 Mar →
mirage9–13-0.049%25 Mar →
overpass9–13-0.0122%23 Mar →
dust28–13-0.0617%22 Mar →
vertigo3–130.0221%21 Mar →
ancient6–130.0223%20 Mar →
inferno6–130.0221%19 Mar →
inferno3–13-0.0321%29 Dec →
nuke12–120.019%29 Dec →
inferno5–13-0.0212%30 Aug →
nuke13–30.0715%30 Aug →
mirage8–13-0.0210%4 May →
inferno13–60.1416%1 May →
inferno9–13-0.0323%21 Jan →
nuke4–130.0117%14 Dec →
inferno13–20.1215%14 Dec →
inferno7–130.007%11 Dec →
nuke7–13-0.0421%3 Dec →
train4–00.0617%3 Dec →
nuke13–30.0614%1 Dec →
inferno13–90.0210%30 Nov →
nuke13–20.0514%28 Nov →
train13–9-0.0010%28 Nov →
train13–8-0.0121%28 Nov →
whistle7–9-0.1011%25 Nov →
nuke4–13-0.0813%25 Nov →
nuke12–12-0.077%24 Nov →
train13–8-0.019%24 Nov →
train13–90.0929%14 Nov →
ancient7–13-0.0517%7 Nov →
vertigo9–130.0415%20 Aug →
anubis15–15-0.015%19 Aug →
inferno7–130.0311%15 Aug →
dust23–13-0.073%10 Aug →
anubis13–50.0121%9 Aug →
anubis11–130.0111%9 Aug →
inferno13–50.0421%7 Aug →
nuke11–13-0.0119%6 Aug →
nuke2–130.007%24 Jul →
inferno9–130.0519%24 Jul →
mirage11–13-0.0114%13 Apr →
nuke7–130.0025%11 Apr →
nuke11–130.0110%9 Apr →
vertigo13–70.0210%21 Feb →
overpass7–13-0.0617%21 Feb →
nuke3–13-0.0615%14 Feb →
nuke11–13-0.0221%15 Nov →
nuke13–30.056%15 Nov →
nuke13–8-0.0029%12 Nov →
mirage19–16-0.0315%30 Sept →
vertigo1–13-0.0815%27 Sept →
ancient12–16-0.079%27 Sept →
nuke11–13-0.0319%26 Sept →
anubis11–130.1123%25 Sept →
nuke13–9-0.0016%25 Sept →
vertigo10–4-0.0431%24 Sept →
nuke6–13-0.0119%24 Sept →
mirage7–13-0.1019%23 Sept →
dust24–13-0.1010%22 Sept →
anubis13–100.0115%22 Sept →
ancient4–100.0030%18 Sept →
vertigo5–13-0.0111%18 Sept →
ancient13–50.0623%11 Sept →
inferno9–13-0.0218%11 Sept →
anubis13–100.0011%10 Sept →
anubis13–5-0.0122%10 Sept →
ancient8–13-0.0524%9 Sept →
nuke2–13-0.036%8 Sept →
overpass4–13-0.0220%6 Sept →
ancient13–8-0.0117%6 Sept →
nuke8–8-0.0426%1 Sept →
nuke9–4-0.0114%1 Sept →
dust29–16-0.0127%20 Aug →
nuke17–19-0.008%17 Aug →
overpass10–160.008%17 Aug →
ancient16–140.0117%17 Aug →
mirage16–130.0016%17 Aug →
ancient10–160.0216%16 Aug →
anubis16–140.0415%16 Aug →
overpass8–16-0.0512%16 Aug →
overpass16–100.1012%15 Aug →
nuke19–15-0.017%15 Aug →
vertigo14–15-0.0111%15 Aug →
ancient16–90.0319%14 Aug →
overpass16–100.0113%14 Aug →
ancient16–11-0.0311%14 Aug →
nuke16–80.009%14 Aug →
nuke17–19-0.059%13 Aug →
dust216–140.0415%13 Aug →
nuke16–50.0412%13 Aug →
inferno8–16-0.0712%13 Aug →
vertigo11–16-0.046%12 Aug →
vertigo16–14-0.014%12 Aug →
nuke16–40.0714%12 Aug →
inferno13–10.1322%12 Aug →
ancient11–16-0.075%12 Aug →
ancient11–160.0012%12 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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