Data Engineering Rijad

Data Engineering Rijad — CS2 Stats

76561199626219567[U:1:1665953839]Steam profile ↗

1,177Tracked matches37%Win rate2024Tracked since
CSDB Rating5.1 DevelopingAggressive Rifler
FaceitLevel 9 · 1,868 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGData Engineering RijadFACEITLevel 9 · 1,868 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

Aim74
Positioning58
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY4555Last 10045%Win rateLLWLWLLLWW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.4
Aggression7.5
Utility4.9
Positioning5.8
Opening Duels3.5
Clutch4.0

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

b1t

Plays most like b1t 92% playstyle similarity

Most alike: opening-duel success, 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

Reaction time. 564ms 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

Aim7.4
Positioning5.8
Utility4.9
Mechanics5.8
Opening Duels3.5
Win Impact0.6

Composite 5.1/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time567ms+6ms
first ⅓ avg 561ms → last ⅓ avg 567ms
Headshot accuracy25.4%+4.5%
first ⅓ avg 20.9% → last ⅓ avg 25.4%

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

0.10Best rating — dust2 13–8
133Biggest win — mirage
6Longest win streak
L2Current streak
911In matches decided by ≤2 rounds
16Overtime games

Map breakdown

anubisBest map · 58% over 12dust2Weakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
ancientB23111248%0.02
mirageC23101343%-0.01
dust2D1741324%-0.00
infernoB179853%0.01
anubisA127558%0.00
vertigo42250%0.01
train32167%-0.00
overpass1010%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,960Matches
50%Win rate
1.10Avg K/D
79.5ADR
56%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage62849%1.0816.2
Ancient37556%1.1617.1
Dust228446%1.0616.4
Anubis27754%1.1817.1
Inferno20945%1.0916.5
Vertigo7144%1.1517.6
Nuke6641%1.0215.6
Overpass2343%1.0414.4

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.

25.5%Headshot accuracy
31.2%Accuracy (enemy spotted)
31.8%Spray accuracy
75.9%Counter-strafing
8.2°Preaim
564msReaction time
49.4%T opening success
38.6%CT opening success
0.63Enemies flashed / flash
6.1%Flash assists
7.12HE damage / grenade
12.65Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.6087% — 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.

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient2–130.0720%17 Jul
dust211–13-0.0326%23 Jun
anubis13–100.0730%23 Jun
ancient3–130.0638%22 Jun
ancient13–6-0.0331%18 Jun
dust26–130.0132%16 Jun
ancient13–16-0.0130%12 Jun
ancient5–13-0.0533%8 Jun
mirage13–11-0.0017%5 Jun
dust213–80.0225%2 Jun
mirage13–110.0525%24 May
mirage13–100.0517%2 May
mirage16–140.029%30 Apr
mirage14–16-0.0218%26 Apr
dust23–13-0.0225%26 Apr
dust23–13-0.0150%25 Apr
dust211–13-0.0537%25 Apr
ancient3–130.0327%11 Mar
mirage13–30.0329%23 Feb
ancient10–13-0.0118%6 Feb
anubis14–160.0037%2 Feb
ancient10–130.0632%1 Dec
dust211–13-0.0618%22 Nov
inferno13–80.0121%10 Nov
mirage5–13-0.0923%16 Sept
inferno7–13-0.0525%3 Sept
overpass10–130.0118%28 Jul
ancient13–80.0523%28 Jul
train13–30.0618%23 Jul
dust26–130.0028%19 Jul
dust213–80.1015%18 Jul
mirage11–13-0.0121%9 Jul
inferno13–90.0422%8 Jul
inferno13–160.0824%3 Jul
ancient13–80.0122%1 Jul
mirage13–9-0.0124%28 Jun
anubis13–10-0.0116%28 Jun
dust216–14-0.0213%26 Jun
inferno13–10-0.0225%26 Jun
ancient13–9-0.0218%25 Jun
inferno9–130.0126%7 Jun
dust210–130.0021%14 May
mirage6–13-0.0333%14 May
inferno17–19-0.0024%12 May
mirage2–13-0.0225%2 May
dust29–130.0026%30 Apr
ancient7–13-0.0323%26 Jan
anubis13–90.0122%23 Jan
inferno13–110.0125%23 Jan
inferno13–40.0216%19 Jan
mirage13–10-0.0019%15 Jan
train13–110.0315%13 Jan
dust26–130.0034%12 Jan
inferno12–160.0228%10 Jan
mirage10–13-0.0229%7 Jan
mirage10–130.0123%29 Dec
mirage13–80.0052%25 Dec
ancient13–50.0212%25 Dec
mirage5–13-0.0532%15 Dec
anubis13–80.0023%15 Dec
dust25–13-0.0524%15 Dec
mirage10–130.0120%10 Dec
dust214–16-0.0125%8 Dec
anubis6–13-0.0211%29 Nov
anubis8–13-0.0211%23 Nov
mirage5–13-0.0323%21 Nov
ancient13–80.0016%20 Nov
ancient16–130.0129%14 Nov
train11–13-0.1017%14 Nov
ancient11–130.0420%13 Nov
anubis8–13-0.0530%11 Nov
anubis13–70.0123%10 Nov
anubis13–110.0334%14 Oct
mirage10–13-0.0422%14 Oct
inferno8–130.0123%12 Oct
inferno13–70.0225%29 Sept
mirage8–13-0.0221%28 Sept
vertigo16–14-0.0215%25 Sept
ancient13–40.0211%24 Sept
ancient13–60.0416%18 Sept
ancient8–130.0424%9 Sept
mirage13–80.0218%3 Sept
dust29–130.0519%31 Aug
inferno16–130.0316%30 Aug
ancient13–70.0413%24 Aug
anubis16–13-0.0113%22 Aug
anubis10–130.0110%22 Aug
inferno16–130.0529%21 Aug
vertigo13–100.0525%21 Aug
ancient13–50.0711%19 Aug
vertigo8–130.0016%18 Aug
ancient5–13-0.0331%16 Aug
ancient10–130.0127%15 Aug
vertigo9–13-0.0020%15 Aug
mirage4–13-0.1019%14 Aug
inferno6–13-0.0529%11 Aug
mirage13–70.0110%10 Aug
inferno17–19-0.0623%9 Aug
inferno13–70.0625%18 Jul
dust216–140.0423%18 Jul

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 →