Dai wit Sakkie

Dai wit Sakkie — CS2 Stats

76561199538464636[U:1:1578198908]Steam profile ↗✓ No bans

688Tracked matches57%Win rate2023Tracked since
CSDB Rating4.6 Developing
Ladder ranks via Leetify

Performance scores

Aim48
Positioning30
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY57421Last 10057%Win rateLWWWWLLWLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim4.8
Aggression1.9
Utility5.6
Positioning3.0
Opening Duels0.0

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 70% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 36% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 714ms 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

Aim4.8
Positioning3.0
Utility5.6
Mechanics6.4
Opening Duels0.8
Win Impact7.2

Composite 4.6/10 (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-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time689ms+4ms
first ⅓ avg 685ms → last ⅓ avg 689ms
Headshot accuracy17.4%−0.3%
first ⅓ avg 17.6% → last ⅓ avg 17.4%

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 — mirage 13–4
130Biggest win — nuke
10Longest win streak
108In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 80% over 5infernoWeakest map · 47% over 17
MapGradePlayedRecordWin rateAvg rating
mirageA28181064%-0.01
dust2B25121348%-0.02
infernoB178947%-0.03
nukeA1610663%-0.02
ancientS54180%-0.03
anubis42250%0.01
overpass330100%0.01
cache2020%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.9%Headshot accuracy
29.3%Accuracy (enemy spotted)
32.4%Spray accuracy
78.6%Counter-strafing
9.3°Preaim
714msReaction time
17.4%T opening success
36.5%CT opening success
0.59Enemies flashed / flash
4.7%Flash assists
9.21HE damage / grenade
13.28Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 714.1418ms — above the 700ms mark we flag

    Aim Training
  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 17.4495% — 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.

47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache0–13-0.060%25 Aug
dust213–9-0.0111%24 Aug
dust213–7-0.0619%24 Aug
anubis13–6-0.0126%23 Aug
dust213–7-0.0018%3 Aug
dust211–13-0.0728%3 Aug
inferno4–130.0415%25 Jul
mirage13–5-0.0013%25 Jul
ancient2–7-0.0823%14 Jul
dust28–130.019%12 Jul
inferno1–13-0.0825%12 Jul
mirage8–13-0.1113%12 Jul
anubis5–13-0.0413%12 Jul
mirage13–60.0519%12 Jul
dust28–13-0.0632%24 Jun
mirage1–13-0.1017%24 Jun
nuke11–13-0.0319%23 Jun
inferno13–10-0.0211%23 Jun
nuke16–13-0.0121%22 Jun
nuke7–13-0.0615%22 Jun
ancient13–7-0.0523%10 Jun
dust213–1-0.0520%10 Jun
inferno13–2-0.0225%10 Jun
nuke4–4-0.130%10 Jun
dust25–13-0.028%10 Jun
nuke13–9-0.0248%9 Jun
overpass13–40.018%8 Jun
nuke13–3-0.0529%8 Jun
inferno13–1-0.0314%7 Jun
nuke13–6-0.0720%6 Jun
inferno16–13-0.0613%6 Jun
dust22–1-0.020%6 Jun
mirage13–11-0.0520%6 Jun
mirage8–130.0219%6 Jun
inferno11–130.0212%6 Jun
inferno13–7-0.0223%4 Jun
nuke13–9-0.0421%4 Jun
mirage13–9-0.0714%4 Jun
ancient16–130.0215%4 Jun
nuke11–13-0.0436%4 Jun
inferno15–15-0.0117%4 Jun
inferno7–13-0.0430%3 Jun
inferno13–60.0310%3 Jun
mirage13–30.0724%3 Jun
dust213–60.0521%3 Jun
inferno13–10-0.0318%3 Jun
mirage13–4-0.0318%3 Jun
mirage11–13-0.0713%3 Jun
anubis14–160.0217%2 Jun
nuke1–7-0.0513%2 Jun
dust24–13-0.078%2 Jun
mirage13–40.1113%2 Jun
nuke9–130.0225%2 Jun
dust29–130.0119%28 May
mirage13–40.1321%28 May
inferno10–13-0.0416%25 May
dust213–7-0.0119%14 May
dust23–13-0.0428%14 May
nuke10–130.0514%13 May
dust213–100.0722%12 May
mirage13–50.0827%12 May
inferno10–13-0.0314%11 May
mirage3–13-0.0211%11 May
dust26–13-0.0818%8 May
nuke13–10-0.018%8 May
inferno13–11-0.1112%8 May
overpass13–110.0116%8 May
dust210–130.0512%8 May
anubis13–60.0813%4 May
dust213–10-0.0411%4 May
nuke13–00.1136%4 May
mirage13–4-0.0217%4 May
mirage7–13-0.0216%4 May
mirage3–13-0.0423%3 May
dust21–13-0.0436%3 May
dust210–130.0115%3 May
ancient13–20.0321%3 May
mirage13–80.0011%3 May
dust213–9-0.0113%3 May
mirage13–80.0722%2 May
mirage13–16-0.0015%2 May
mirage11–13-0.0225%2 May
mirage3–13-0.0820%2 May
dust24–13-0.0326%2 May
cache11–13-0.0313%1 May
mirage13–9-0.0514%1 May
mirage13–11-0.0821%1 May
inferno4–13-0.0316%1 May
inferno6–13-0.0112%1 May
dust26–13-0.0450%1 May
mirage13–40.0214%1 May
mirage3–0-0.060%1 May
mirage13–90.0618%28 Apr
dust216–14-0.0512%28 Apr
dust213–4-0.0511%28 Apr
mirage16–140.0218%27 Apr
nuke13–11-0.0313%27 Apr
overpass13–70.016%27 Apr
nuke13–110.0410%27 Apr
ancient13–6-0.0622%26 Apr

Match data via Leetify.

Recent teammates

Milestones

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