Rankaisija

Rankaisija — CS2 Stats

FI76561199032175734[U:1:1071910006]Steam profile ↗✓ No bans

1,449Tracked matches63%Win rate2020Tracked since
2,971Hours in CS38Hrs last 2 wks
CSDB Rating4.7 Developing
FaceitLevel 5 · 1,306 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), 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 5 medianLevel 6 medianvs Level 6
Headshot rate48.6%44.2%44.9%above
Shot accuracy11.1%11.2%11.8%0.7% short
Kill/death ratio0.791.041.040.25 short
Match win rate45.1%45.3%45.3%meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRankaisijaFACEITLevel 5 · 1,306 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning53
Utility30

0–100 skill scores via Leetify.

Recent form

HOT6337Last 10063%Win rateWLLWWWWLWW

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim5.6
Aggression3.7
Utility3.0
Positioning5.3
Opening Duels0.6
Clutch3.0

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 79% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

T-side openings. Opening success drops from 44% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms 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

Aim5.6
Positioning5.3
Utility3.0
Mechanics6.2
Opening Duels1.7
Win Impact9.4

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time684ms−31ms
first ⅓ avg 715ms → last ⅓ avg 684ms
Headshot accuracy20.1%−0.5%
first ⅓ avg 20.5% → last ⅓ avg 20.1%

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

0.13Best rating — overpass 8–13
131Biggest win — inferno
7Longest win streak
147In matches decided by ≤2 rounds
22Overtime games

Map breakdown

overpassBest map · 73% over 11mirageWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
infernoS34231168%-0.02
nukeA1911858%-0.04
overpassS118373%-0.01
trainS118373%0.00
ancientB84450%-0.03
mirageC73443%-0.06
vertigo440100%-0.01
dust242250%-0.06
cache1010%-0.08
anubis1010%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,417Lifetime kills
0.79K/D
2,554Matches
45.1%Match win rate
48.6%Headshot % · Top 50% of Level 5 players
11.1%Shot accuracy
5,005MVPs
953Hours (in match)
4,116Bombs planted
538Bombs defused

Most-used weapons

AK-4712,015
AWP2,159
MP92,068
MAC-102,013
FAMAS1,286
AUG837

Lifetime map wins

6,174vertigo
4,592inferno
2,508nuke
1,661train
884lake
645dust2
296office
238cbble

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

Faceit stats

Combat

1,111Matches
50%Win rate
0.83Avg K/D
63.0ADR
53%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno21653%0.8613.9
Mirage20148%0.8312.6
Nuke20146%0.7812.8
Ancient11847%0.8813.5
Train11462%0.9213.6
Overpass6453%0.7512.9
Anubis4430%0.7513.1
Dust23540%0.7111.6

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.

21.1%Headshot accuracy
34.8%Accuracy (enemy spotted)
39.6%Spray accuracy
77.7%Counter-strafing
13.0°Preaim
673msReaction time
21.1%T opening success
43.7%CT opening success
0.41Enemies flashed / flash
1.7%Flash assists
11.27HE damage / grenade
2.41Flashes / 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 13.0068° — above the 12° 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 0.4089 — below the 0.5 mark we flag

    Grenade Lineups
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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–5-0.069%26 Aug
dust25–13-0.0824%26 Aug
cache6–13-0.0817%25 Aug
dust213–11-0.0613%25 Aug
vertigo13–8-0.0213%24 Aug
inferno13–110.0623%24 Aug
nuke13–11-0.0230%24 Aug
inferno14–16-0.0233%23 Aug
nuke13–2-0.0424%19 Aug
inferno13–9-0.056%19 Aug
inferno16–13-0.0624%16 Aug
ancient12–160.0019%8 Aug
mirage7–13-0.0925%8 Aug
vertigo13–40.0720%8 Aug
inferno13–100.0224%8 Aug
nuke13–11-0.0123%6 Aug
mirage13–10-0.0327%29 Jul
inferno9–13-0.0232%26 Jul
inferno25–22-0.0619%26 Jul
inferno8–13-0.0228%25 Jul
ancient13–100.0220%25 Jul
nuke6–13-0.0727%24 Jul
ancient11–13-0.0717%24 Jul
inferno13–10.0214%22 Apr
dust213–3-0.0520%22 Apr
nuke13–10.0213%22 Apr
dust210–13-0.0520%11 Apr
nuke13–10-0.0617%11 Apr
inferno13–50.0015%9 Apr
mirage11–13-0.0824%8 Apr
nuke19–15-0.0312%5 Apr
inferno13–7-0.0216%19 Mar
nuke7–13-0.0612%17 Mar
inferno16–19-0.028%16 Mar
overpass12–16-0.0621%15 Mar
nuke19–160.0221%8 Mar
overpass16–13-0.0839%8 Mar
overpass16–13-0.0436%8 Mar
inferno13–90.0124%5 Mar
ancient8–13-0.0816%27 Feb
inferno4–13-0.078%27 Feb
overpass10–13-0.0516%27 Feb
inferno13–50.0038%26 Feb
inferno16–13-0.0016%25 Feb
overpass13–80.0928%25 Feb
inferno13–8-0.0215%20 Feb
overpass13–6-0.0132%20 Feb
inferno16–13-0.0523%19 Feb
ancient13–6-0.067%19 Feb
overpass8–130.1350%19 Feb
mirage13–11-0.0411%17 Feb
inferno13–70.0321%17 Feb
ancient13–10.0444%17 Feb
nuke13–11-0.047%9 Feb
inferno8–13-0.0221%9 Feb
inferno7–13-0.0613%4 Feb
inferno13–110.0331%31 Jan
ancient8–13-0.0317%31 Jan
inferno12–16-0.0621%29 Jan
inferno13–8-0.0526%22 Jan
overpass16–13-0.0014%22 Jan
overpass16–13-0.0730%16 Jan
anubis11–13-0.0224%13 Jan
train5–13-0.0820%12 Jan
train13–9-0.0116%12 Jan
inferno13–11-0.0519%12 Jan
inferno7–13-0.0620%12 Jan
ancient13–9-0.0619%6 Jan
train13–50.0628%3 Jan
vertigo12–12-0.0418%29 Dec
inferno19–16-0.0822%4 Dec
overpass13–70.0420%2 Dec
inferno7–13-0.0910%1 Dec
inferno13–9-0.0329%27 Nov
nuke13–30.0119%27 Nov
nuke13–11-0.0216%27 Nov
train16–12-0.0418%26 Nov
overpass13–10-0.0421%21 Nov
train13–11-0.0425%19 Nov
nuke5–13-0.0319%14 Nov
inferno19–17-0.0029%13 Nov
nuke13–8-0.0323%11 Nov
inferno13–50.0221%11 Nov
nuke14–16-0.0224%10 Nov
inferno13–9-0.0126%5 Nov
mirage9–13-0.0423%4 Nov
nuke8–13-0.0715%3 Nov
train20–22-0.0418%2 Nov
train13–50.0126%2 Nov
nuke12–16-0.0819%1 Nov
inferno9–13-0.0716%31 Oct
nuke4–9-0.2213%29 Oct
mirage13–11-0.0820%28 Oct
train13–70.0110%27 Oct
inferno16–14-0.0120%23 Oct
train13–40.1328%23 Oct
nuke11–130.0023%18 Oct
train13–50.0421%18 Oct
mirage10–13-0.0714%16 Oct
train9–13-0.0323%15 Oct

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 →