Rektor

Rektor — CS2 Stats

CA76561198147793413[U:1:187527685]Steam profile ↗✓ No bans

711Tracked matches57%Win rate2020Tracked since
CSDB Rating2.7 Learning
Premier CS Rating9,226Light Blue band · top ~58.6% of ranked players (population est.)
CSDB Leaderboard#13625 of 18330 tracked
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGRektorFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER9,226 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim16
Positioning42
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateLLWWWLLWWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim1.6
Aggression5.5
Utility3.9
Positioning4.2
Opening Duels1.4
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 73% playstyle similarity

Most alike: opening-duel success, 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

Reaction time. 663ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim1.6
Positioning4.2
Utility3.9
Mechanics1.7
Opening Duels1.5
Win Impact7.2

Composite 2.7/10 (Learning), 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+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time658ms−45ms
first ⅓ avg 703ms → last ⅓ avg 658ms
Headshot accuracy11.8%−0.8%
first ⅓ avg 12.6% → last ⅓ avg 11.8%

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

0.07Best rating — ancient 13–6
120Biggest win — cache
4Longest win streak
L2Current streak
82In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 63% over 8dust2Weakest map · 49% over 47
MapGradePlayedRecordWin rateAvg rating
dust2B47232449%-0.02
infernoB189950%-0.04
mirageA159660%-0.04
ancientA85363%-0.02
overpass41325%-0.03
nuke3030%-0.04
anubis31233%-0.08
cache21150%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (49% over 47). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

299Matches
45%Win rate
0.75Avg K/D
65.1ADR
35%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust29949%0.7611.4
Mirage5351%0.7611.8
Inferno4650%0.8211.6
Ancient3040%0.7612.0
Nuke2326%0.6712.3
Anubis1844%0.7413.7
Cache1050%0.7613.0
Vertigo425%0.607.8

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.

11.3%Headshot accuracy
27.7%Accuracy (enemy spotted)
25.5%Spray accuracy
57.5%Counter-strafing
11.5°Preaim
663msReaction time
29.4%T opening success
42.2%CT opening success
0.52Enemies flashed / flash
3.8%Flash assists
8.31HE damage / grenade
4.99Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.3277% — below the 15% 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 29.3699% — below the 40% mark we flag

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.

49% win rate across 47 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.084%23 Aug
dust212–16-0.0227%11 Aug
mirage13–5-0.0124%7 Aug
mirage13–8-0.0310%5 Aug
dust213–5-0.0316%1 Aug
nuke9–130.007%1 Aug
nuke9–13-0.0412%1 Aug
mirage13–11-0.0110%1 Aug
inferno13–20.0317%1 Aug
anubis11–13-0.097%31 Jul
dust213–50.039%25 Jul
mirage13–11-0.022%23 Jul
mirage19–16-0.0012%18 Jul
dust216–14-0.0810%18 Jul
dust25–13-0.068%16 Jul
inferno16–13-0.0221%15 Jul
inferno5–13-0.036%11 Jul
dust29–13-0.030%9 Jul
inferno13–90.0014%4 Jul
inferno13–7-0.0011%4 Jul
inferno9–13-0.099%29 Jun
dust213–60.0515%29 Jun
dust213–100.0110%29 Jun
ancient9–13-0.0512%28 Jun
dust27–13-0.0521%27 Jun
inferno13–11-0.0213%27 Jun
mirage13–8-0.049%22 Jun
mirage1–13-0.154%12 Jun
dust213–60.0511%8 Jun
dust27–13-0.064%5 Jun
dust29–130.0227%4 Jun
inferno5–13-0.0219%4 Jun
dust213–10-0.1112%3 Jun
dust20–70.0443%2 Jun
dust26–13-0.057%2 Jun
dust213–11-0.0413%1 Jun
dust213–20.0625%24 May
dust213–100.0221%24 May
dust212–120.0111%24 May
ancient13–60.078%22 May
dust213–5-0.0614%22 May
dust213–11-0.0310%20 May
dust27–13-0.0516%20 May
dust28–13-0.0517%20 May
dust213–60.0213%20 May
nuke8–13-0.084%20 May
dust28–130.0512%20 May
dust21–13-0.0512%17 May
dust27–130.0116%17 May
cache10–130.0415%17 May
cache12–00.0315%17 May
dust29–130.0111%17 May
dust216–12-0.0410%16 May
mirage7–13-0.119%16 May
mirage13–8-0.045%16 May
dust22–130.006%14 May
dust24–13-0.0414%14 May
inferno5–13-0.0117%14 May
inferno15–15-0.107%13 May
dust26–13-0.0733%4 May
inferno7–13-0.0723%4 May
dust213–10-0.096%4 May
mirage13–4-0.058%4 May
dust213–20.0714%3 May
dust213–40.0512%3 May
dust22–11-0.0516%29 Apr
dust212–12-0.066%28 Apr
mirage13–30.0426%28 Apr
mirage9–13-0.039%27 Apr
inferno6–13-0.0413%27 Apr
overpass6–13-0.0414%26 Apr
dust28–13-0.0530%26 Apr
mirage7–13-0.0413%26 Apr
dust213–7-0.0314%26 Apr
overpass6–13-0.089%26 Apr
ancient13–6-0.0210%24 Apr
anubis13–10-0.0429%24 Apr
ancient8–13-0.0813%23 Apr
dust23–13-0.054%23 Apr
inferno15–15-0.0316%21 Apr
dust213–5-0.0816%17 Apr
ancient13–11-0.079%15 Apr
dust211–13-0.059%15 Apr
inferno13–5-0.0313%12 Apr
inferno13–7-0.0611%12 Apr
inferno13–11-0.0412%11 Apr
overpass6–130.0110%11 Apr
inferno16–12-0.0713%13 Mar
ancient13–6-0.056%12 Mar
dust25–13-0.040%12 Mar
overpass13–5-0.0214%10 Mar
dust213–6-0.0817%9 Mar
anubis1–13-0.108%9 Mar
dust216–12-0.0415%8 Mar
ancient13–100.034%8 Mar
mirage5–80.0311%7 Mar
dust216–13-0.0113%5 Mar
ancient12–16-0.0211%5 Mar
mirage9–13-0.087%4 Mar
dust213–90.0119%4 Mar

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 →