Kinetical

Kinetical — CS2 Stats

US76561198871836765[U:1:911571037]Steam profile ↗✓ No bans

772Tracked matches56%Win rate2020Tracked since
CSDB Rating4.0 Developing
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGKineticalFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim53
Positioning41
Utility11

0–100 skill scores via Leetify.

Recent form

STEADY493912Last 10049%Win rateLWWTLWWLWT

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim5.3
Aggression4.8
Utility1.1
Positioning4.1
Opening Duels1.4
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.

Your pro match

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 45% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.3
Positioning4.1
Utility1.1
Mechanics3.9
Opening Duels1.9
Win Impact6.9

Composite 4.0/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time641ms−26ms
first ⅓ avg 667ms → last ⅓ avg 641ms
Headshot accuracy15.3%+0.1%
first ⅓ avg 15.2% → last ⅓ avg 15.3%

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

0.26Best rating — vertigo 9–1
130Biggest win — mirage
8Longest win streak
75In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 67% over 9nukeWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
vertigoA117464%0.00
cacheD101910%-0.03
ancientA106460%-0.03
trainS96367%-0.01
infernoC94544%-0.03
dust2C83538%-0.02
mirageA85363%-0.01
fachwerkA74357%-0.01
anubisD62433%0.00
nukeD5050%-0.05
poseidon42250%-0.02
boulder32167%0.00
italy31233%-0.04
office220100%-0.01
alpine21150%-0.01
warden110100%-0.01
overpass110100%0.00
stronghold110100%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches
53%Win rate
0.97Avg K/D
74.4ADR
28%Headshot %

Clutches & streaks

43%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage667%0.8714.0
Inferno20%0.9416.0
Train2100%1.3716.5
Dust2250%1.2217.5
Ancient10%0.7710.0

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
34.8%Accuracy (enemy spotted)
37.7%Spray accuracy
67.4%Counter-strafing
9.8°Preaim
635msReaction time
25.9%T opening success
45.2%CT opening success
0.08Enemies flashed / flash
0.0%Flash assists
9.46HE damage / grenade
0.50Flashes / 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. 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 0.0772 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 25.8957% — below the 40% mark we flag

Spend your practice time on Nuke

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.114%28 Aug
train13–90.0919%28 Aug
dust213–90.0316%28 Aug
nuke12–12-0.059%27 Aug
cache7–13-0.0212%27 Aug
train13–9-0.0110%27 Aug
ancient13–110.0026%27 Aug
mirage7–13-0.0318%27 Aug
inferno13–5-0.0223%22 Aug
dust212–12-0.047%22 Aug
train13–10-0.037%14 Aug
dust27–13-0.0120%14 Aug
mirage13–00.055%14 Aug
inferno11–13-0.0314%7 Aug
vertigo13–9-0.0411%5 Aug
mirage13–50.0615%5 Aug
cache7–130.0333%28 Jul
anubis5–13-0.0411%28 Jul
anubis5–7-0.025%28 Jul
cache10–13-0.0614%18 Jul
fachwerk12–12-0.0410%17 Jul
mirage13–10.0011%17 Jul
train10–13-0.048%17 Jul
boulder13–3-0.039%17 Jul
italy5–13-0.0814%17 Jul
train13–7-0.0330%17 Jul
dust213–40.0326%17 Jul
fachwerk13–11-0.0621%16 Jul
fachwerk11–1-0.0221%16 Jul
boulder11–130.0322%15 Jul
cache10–13-0.0719%15 Jul
dust29–13-0.048%14 Jul
anubis13–110.0126%14 Jul
cache9–13-0.067%14 Jul
fachwerk7–13-0.0310%14 Jul
mirage1–13-0.077%14 Jul
vertigo13–4-0.017%14 Jul
fachwerk13–50.062%11 Jul
fachwerk12–120.018%11 Jul
inferno11–130.0513%10 Jul
boulder13–100.0222%10 Jul
fachwerk13–80.037%10 Jul
vertigo13–8-0.0114%8 Jul
office13–5-0.0324%8 Jul
ancient9–13-0.048%7 Jul
inferno7–130.0113%7 Jul
dust26–13-0.058%7 Jul
cache9–13-0.094%6 Jul
cache12–12-0.043%4 Jul
cache12–12-0.0115%4 Jul
ancient13–11-0.0415%4 Jul
anubis9–130.0216%26 Jun
ancient16–120.0114%26 Jun
train12–12-0.0429%26 Jun
warden13–4-0.017%25 Jun
cache2–8-0.0536%25 Jun
mirage6–13-0.083%25 Jun
overpass13–110.0014%25 Jun
nuke5–13-0.097%24 Jun
office13–90.0116%15 Jun
stronghold13–70.048%15 Jun
ancient7–13-0.0814%15 Jun
train12–12-0.0414%14 Jun
inferno5–9-0.114%8 Jun
poseidon8–8-0.0324%8 Jun
ancient7–13-0.0613%8 Jun
italy7–130.0119%8 Jun
train13–10.0321%8 Jun
vertigo9–10.2611%8 Jun
dust213–6-0.0013%5 Jun
vertigo5–13-0.087%5 Jun
vertigo3–13-0.100%5 Jun
poseidon9–50.0239%4 Jun
vertigo9–60.2020%4 Jun
inferno13–90.0513%4 Jun
vertigo13–50.0120%4 Jun
inferno13–4-0.0213%1 Jun
mirage13–5-0.0912%1 Jun
ancient13–3-0.0124%1 Jun
ancient13–2-0.0711%1 Jun
nuke12–12-0.0047%1 Jun
vertigo5–9-0.180%31 May
poseidon9–30.0916%31 May
nuke9–13-0.0116%31 May
alpine13–50.058%31 May
alpine8–13-0.069%31 May
ancient5–13-0.026%31 May
vertigo12–12-0.0416%30 May
anubis12–12-0.0416%29 May
inferno9–7-0.019%27 May
anubis13–100.1014%24 May
dust21–13-0.1040%24 May
ancient9–7-0.0419%24 May
italy13–10-0.0513%24 May
inferno7–9-0.199%23 May
poseidon1–9-0.1818%23 May
vertigo9–40.040%23 May
train13–10-0.0524%23 May
cache13–40.0311%23 May
mirage13–30.068%23 May

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 →