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Morjesta Kaikille — CS2 Stats

76561199564246099[U:1:1603980371]

1,037Tracked matches37%Win rate2023Tracked since
834Hours in CS3Hrs last 2 wks
CSDB Rating4.8 Developing
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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 10 median
Headshot rate43.1%51.9%
Shot accuracy0.1%13.7%
Kill/death ratio1.071.08
Match win rate44.3%48.7%

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CSDB.GGMorjesta KaikilleFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning58
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateWLWWLLLWWW

Last 10 vs previous 10: +40pp win rate · -0.00 avg rating

Player DNA

Aim5.8
Aggression4.7
Utility5.5
Positioning5.8
Opening Duels0.8
Clutch2.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Areas to improve

T-side openings. Opening success drops from 44% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim5.8
Positioning5.8
Utility5.5
Mechanics5.5
Opening Duels1.7
Win Impact0.7

Composite 4.8/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time584ms−11ms
first ⅓ avg 595ms → last ⅓ avg 584ms
Headshot accuracy14.1%+0.0%
first ⅓ avg 14.1% → last ⅓ avg 14.1%

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.

Highlights

0.23Best rating — inferno 6–0
13–1Biggest win — nuke
7Longest win streak
9–8In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 60% over 20dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2211–1150%0.02
ancientA2011–955%0.03
nukeA2012–860%0.03
dust2D113–827%-0.02
anubisD93–633%0.03
cacheA74–357%-0.01
overpassB63–350%0.05
mirage—30–30%0.01
train—21–150%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,540Lifetime kills
1.07K/D
1,407Matches
44.3%Match win rate
43.1%Headshot %
0.1%Shot accuracy
3,150MVPs
495Hours (in match)
1,587Bombs planted
376Bombs defused

Most-used weapons

AK-478,684
M4A4 / M4A1-S4,812
Desert Eagle2,180
AWP1,478
P2000 / USP-S1,167
Glock-18991
MP9957
XM1014785
Galil AR592
MAC-10502

Lifetime map wins

2,164nuke
2,096dust2
2,058inferno
408train
251vertigo
73office
41cbble
37italy

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

Faceit stats

Combat

76Matches
70%Win rate
1.73Avg K/D
107.7ADR
48%Headshot %

Clutches & streaks

32%1v1 clutch win
38%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1867%1.8822.1
Anubis1669%1.7223.5
Inferno1573%1.5919.3
Dust21164%1.8922.4
Nuke1080%1.5918.2
Mirage560%1.5619.8
Train1100%1.5420.0

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.

13.9%Headshot accuracy
36.3%Accuracy (enemy spotted)
38.9%Spray accuracy
74.8%Counter-strafing
12.2°Preaim
581msReaction time
22.8%T opening success
43.7%CT opening success
0.48Enemies flashed / flash
7.3%Flash assists
7.39HE damage / grenade
13.31Flashes / 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 12.156° — above the 12° mark we flag

    Aim Training →
  2. 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 13.877% — below the 15% mark we flag

    Aim Training →
  3. 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 0.476 — below the 0.5 mark we flag

    Grenade Lineups →
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.

27% win rate across 11 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
ancient13–40.060%25 Aug →
mirage8–130.028%25 Aug →
inferno13–50.0616%11 Aug →
nuke13–9-0.0215%11 Aug →
ancient8–13-0.0112%30 Jul →
cache1–13-0.0721%30 Jul →
inferno12–160.0116%30 Jul →
nuke13–100.0013%30 Jul →
dust213–100.0116%24 Jul →
nuke13–10.1313%24 Jul →
nuke13–110.0421%24 Jul →
inferno4–130.0115%24 Jul →
nuke8–130.0112%17 Jul →
inferno14–160.0619%4 Jul →
nuke15–150.0617%4 Jul →
nuke3–13-0.0012%3 Jul →
anubis1–13-0.0314%3 Jul →
anubis9–130.0013%1 Jul →
ancient16–120.099%27 Jun →
dust215–15-0.0213%27 Jun →
cache9–13-0.0319%12 Jun →
nuke13–50.1218%12 Jun →
train11–13-0.0211%6 Jun →
dust25–13-0.0316%1 Jun →
anubis1–60.0824%28 May →
anubis13–110.047%22 May →
nuke15–150.025%22 May →
nuke4–130.0013%21 May →
anubis6–130.0410%21 May →
dust21–13-0.0438%21 May →
inferno13–100.1115%21 May →
nuke13–4-0.030%21 May →
ancient13–7-0.0219%21 May →
inferno13–80.0417%18 May →
ancient13–80.0413%18 May →
inferno13–9-0.0410%18 May →
dust213–8-0.029%18 May →
mirage7–13-0.0014%18 May →
ancient6–130.1220%15 May →
nuke12–120.0413%15 May →
ancient13–90.0618%7 May →
inferno13–11-0.0114%7 May →
overpass13–30.017%7 May →
cache13–90.029%7 May →
cache13–100.0212%7 May →
cache9–13-0.0513%4 May →
cache13–7-0.0010%1 May →
cache13–110.0610%1 May →
inferno13–40.0515%30 Apr →
nuke16–120.007%30 Apr →
inferno10–13-0.0415%22 Apr →
nuke11–13-0.0116%22 Apr →
inferno6–13-0.106%22 Apr →
overpass3–13-0.0514%21 Apr →
anubis16–140.1317%21 Apr →
nuke13–20.0719%21 Apr →
dust215–15-0.0117%21 Apr →
ancient6–13-0.0713%21 Apr →
inferno16–140.0414%20 Apr →
ancient16–140.055%20 Apr →
inferno4–13-0.0111%14 Apr →
dust213–50.0417%8 Apr →
nuke13–60.0011%8 Apr →
anubis10–130.0314%8 Apr →
dust210–13-0.0711%8 Apr →
anubis6–13-0.038%2 Apr →
inferno6–130.059%2 Apr →
dust214–16-0.0410%28 Mar →
inferno13–50.0327%17 Mar →
mirage11–130.0113%17 Mar →
ancient7–13-0.0216%13 Mar →
ancient10–10.054%13 Mar →
overpass13–100.127%13 Mar →
anubis13–110.0112%10 Mar →
ancient13–100.033%10 Mar →
dust215–150.0219%3 Mar →
ancient13–9-0.036%3 Mar →
dust21–13-0.0825%1 Mar →
overpass9–130.0410%23 Feb →
inferno13–90.0515%23 Feb →
ancient10–130.0414%20 Feb →
nuke13–70.0613%20 Feb →
inferno13–80.0132%20 Feb →
nuke13–50.1320%14 Feb →
overpass11–130.0419%2 Feb →
overpass13–100.1617%2 Feb →
ancient14–16-0.0214%30 Jan →
inferno6–00.2311%30 Jan →
ancient4–13-0.0411%29 Jan →
ancient16–14-0.0212%27 Jan →
inferno8–13-0.0115%27 Jan →
ancient8–130.009%27 Jan →
inferno7–13-0.056%26 Jan →
ancient13–50.1212%19 Jan →
inferno8–13-0.0510%19 Jan →
nuke13–100.0313%19 Jan →
nuke11–130.0125%14 Jan →
train13–40.0917%12 Jan →
ancient7–130.0615%12 Jan →
inferno3–130.0216%3 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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