Rakkno

Rakkno — CS2 Stats

CA76561198297430721[U:1:337164993]Steam profile ↗✓ No bans

1,641Tracked matches43%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPassive Rifler
FaceitLevel 9 · 1,703 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGRakknoFACEITLevel 9 · 1,703 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim73
Positioning47
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY4951Last 10049%Win rateLLWLLWWWLW

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.3
Aggression3.9
Utility6.9
Positioning4.7
Opening Duels0.7
Clutch4.4

Strong CT-side opener

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 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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 43% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim7.3
Positioning4.7
Utility6.9
Mechanics6.4
Opening Duels1.6
Win Impact2.8

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time555ms−18ms
first ⅓ avg 573ms → last ⅓ avg 555ms
Headshot accuracy16.2%+0.0%
first ⅓ avg 16.2% → last ⅓ avg 16.2%

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 — dust2 13–4
132Biggest win — anubis
10Longest win streak
L2Current streak
87In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 90% over 10infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2591636%0.00
dust2A2213959%0.01
ancientB168850%0.02
nukeB115645%0.01
anubisS109190%0.01
infernoD81713%0.01
cacheD62433%-0.02
train110100%0.09
overpass110100%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

747Matches
51%Win rate
1.14Avg K/D
80.9ADR
44%Headshot %

Clutches & streaks

42%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage22048%1.1216.1
Dust216553%1.1515.7
Ancient12551%1.1016.3
Anubis6667%1.2817.8
Inferno5847%1.0816.3
Nuke5746%1.0415.3
Train2070%1.3318.9
Cache1735%0.9815.2

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.

15.9%Headshot accuracy
36.7%Accuracy (enemy spotted)
42.8%Spray accuracy
78.8%Counter-strafing
10.9°Preaim
556msReaction time
22.9%T opening success
43.0%CT opening success
0.69Enemies flashed / flash
3.1%Flash assists
10.15HE damage / grenade
16.18Flashes / 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

    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 22.91% — below the 40% mark we flag

Spend your practice time on Inferno

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0321%25 Aug
dust26–13-0.0614%24 Aug
ancient13–90.0214%24 Aug
nuke5–130.0814%23 Aug
mirage2–13-0.0717%23 Aug
mirage13–110.0113%22 Aug
anubis13–60.0427%21 Aug
mirage13–40.0111%21 Aug
mirage8–130.0318%21 Aug
nuke13–6-0.0114%20 Aug
mirage18–22-0.008%19 Aug
ancient19–160.017%19 Aug
ancient8–130.087%18 Aug
dust26–13-0.0820%17 Aug
mirage11–13-0.0217%17 Aug
dust213–50.0726%16 Aug
anubis13–11-0.0013%14 Aug
mirage13–160.017%13 Aug
mirage9–13-0.0411%9 Aug
anubis13–9-0.0216%8 Aug
mirage11–13-0.0326%2 Aug
dust213–40.1330%2 Aug
mirage3–13-0.0615%1 Aug
nuke6–13-0.0719%1 Aug
cache9–13-0.0125%1 Aug
mirage5–13-0.0017%25 Jul
dust213–9-0.0014%25 Jul
mirage3–130.0118%25 Jul
ancient13–70.0721%24 Jul
nuke16–130.0420%19 Jul
anubis13–11-0.0116%13 Jul
mirage9–13-0.0212%13 Jul
ancient13–60.0110%12 Jul
cache4–13-0.0619%12 Jul
nuke5–13-0.0128%12 Jul
cache10–13-0.0119%11 Jul
mirage13–70.0725%3 Jul
inferno5–13-0.0320%1 Jul
anubis13–2-0.066%28 Jun
dust213–80.0719%28 Jun
mirage13–10-0.029%24 Jun
anubis13–30.0717%24 Jun
dust213–90.0519%22 Jun
dust213–9-0.0116%22 Jun
nuke13–11-0.0212%13 Jun
dust213–70.0220%31 May
ancient13–110.0315%29 May
dust213–60.0920%28 May
dust24–13-0.0315%11 May
anubis14–160.0515%9 May
cache9–13-0.0227%9 May
mirage13–50.1016%5 May
nuke6–130.0110%5 May
ancient13–30.0814%5 May
nuke6–130.0922%4 May
inferno16–190.0417%2 May
ancient10–130.0130%30 Apr
cache13–100.0416%30 Apr
inferno2–13-0.0915%30 Apr
cache13–9-0.0314%29 Apr
mirage13–50.0910%27 Apr
ancient7–13-0.0213%27 Apr
nuke14–160.0413%27 Apr
mirage5–13-0.0020%27 Apr
ancient7–130.0315%27 Apr
anubis19–16-0.0212%26 Apr
mirage9–13-0.0721%26 Apr
inferno11–130.0323%25 Apr
ancient19–17-0.0213%25 Apr
train13–50.0924%22 Apr
nuke13–90.0124%21 Apr
dust213–8-0.0424%21 Apr
dust27–13-0.0024%21 Apr
dust29–13-0.0417%20 Apr
mirage7–13-0.0223%20 Apr
dust212–160.0212%20 Apr
inferno13–60.0236%19 Apr
dust29–130.0322%19 Apr
dust28–130.0016%17 Apr
dust213–90.0521%17 Apr
ancient13–9-0.028%17 Apr
mirage28–310.0010%16 Apr
ancient10–130.0414%16 Apr
ancient8–13-0.0214%16 Apr
ancient11–130.0214%16 Apr
inferno7–130.0218%16 Apr
overpass16–13-0.0010%15 Apr
anubis16–140.0312%15 Apr
nuke13–6-0.0114%15 Apr
mirage13–90.0516%14 Apr
mirage13–70.0310%10 Apr
anubis16–13-0.017%9 Apr
dust27–13-0.016%7 Apr
mirage13–100.0711%5 Apr
mirage10–13-0.069%4 Apr
inferno4–130.0510%3 Apr
dust213–100.0114%3 Apr
inferno11–130.0419%3 Apr
dust213–80.0322%3 Apr
dust213–11-0.0220%3 Apr

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →