the rejujanator

the rejujanator — CS2 Stats

US76561198051923043[U:1:91657315]Steam profile ↗✓ No bans

607Tracked matches69%Win rate2020Tracked since
CSDB Rating4.7 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 607 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,760 +6,666 5 Sept – 4 Jan · 12 days played
19,09425,860peak 25,8605 Sept4 Jan
25,860Peak Premier in tracked matches
55Days played since 2025-07-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim46
Positioning43
Utility45

0–100 skill scores via Leetify.

Recent form

HOT59–36–5Last 10059%Win rateWLWLWWWWWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −7.8pp headshot accuracy · +48ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 669ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 650ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 626ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+0.8 against its own average).

Aim4.6
Utility4.5
Positioning4.3
Opening Duels1.5
Clutch4.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 618ms 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

Aim4.6
Positioning4.3
Utility4.5
Mechanics4.6
Opening Duels0.5
Win Impact10.0

Composite 4.7/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time621ms−35ms
first ⅓ avg 657ms → last ⅓ avg 621ms
Headshot accuracy24.7%−2.1%
first ⅓ avg 26.9% → last ⅓ avg 24.7%

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.

Personal bests

0.09Best match rating · 13–6 · anubis, 25 Aug →
50%Best headshot accuracy · 13–5 · mirage, 27 Dec →
438msFastest reaction time · 13–7 · office, 2 Dec →
13–1Biggest win · cache, 6 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
6–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 92% over 12ancientWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
mirageS2315–865%-0.01
ancientD164–1225%-0.05
infernoA159–660%-0.02
overpassS1211–192%-0.03
dust2A116–555%-0.05
nukeS75–271%-0.03
trainS64–267%-0.04
anubis—42–250%0.00
vertigo—31–233%-0.05
cache—21–150%-0.05
office—11–0100%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

560Matches
51%Win rate
1.07Avg K/D
76.2ADR
57%Headshot %

Clutches & streaks

42%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7059%0.9815.5
Anubis4257%1.0715.2
Inferno3845%1.0315.1
Dust23345%1.0316.0
Ancient3145%0.8814.7
Vertigo2548%0.9816.3
Nuke1443%1.0017.7
Train367%0.6411.3

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.

25.0%Headshot accuracy
28.0%Accuracy (enemy spotted)
28.1%Spray accuracy
70.5%Counter-strafing
11.5°Preaim
618msReaction time
30.3%T opening success
34.0%CT opening success
0.57Enemies flashed / flash
7.0%Flash assists
4.54HE damage / grenade
6.13Flashes / 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 30.2684% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0132%21 Aug →
mirage11–13-0.0627%18 Aug →
mirage13–70.0715%18 Aug →
anubis7–13-0.0421%13 Aug →
nuke13–3-0.0218%13 Aug →
ancient13–8-0.1020%11 Aug →
mirage13–10-0.0519%6 Aug →
ancient13–3-0.0424%6 Aug →
cache13–1-0.0114%6 Aug →
anubis13–8-0.0124%1 Aug →
mirage13–10-0.0729%30 Jul →
ancient13–10-0.0422%28 Jul →
mirage12–12-0.0227%28 Jul →
vertigo11–13-0.0424%27 Jul →
mirage13–70.0128%20 Jul →
inferno13–50.0332%20 Jul →
mirage13–8-0.0523%13 Jul →
cache5–7-0.0838%14 May →
inferno11–13-0.0430%26 Apr →
mirage13–70.0540%24 Apr →
ancient2–13-0.1318%19 Apr →
nuke9–13-0.0833%18 Apr →
overpass13–3-0.0028%18 Apr →
inferno13–8-0.0329%10 Apr →
vertigo13–4-0.0619%18 Feb →
ancient6–13-0.0529%14 Feb →
inferno13–8-0.0529%11 Feb →
anubis6–13-0.0219%3 Feb →
dust216–14-0.0417%1 Feb →
inferno13–11-0.0223%29 Jan →
nuke13–11-0.0522%29 Jan →
mirage13–50.0218%29 Jan →
inferno16–13-0.0525%28 Jan →
mirage13–10-0.0224%26 Jan →
overpass13–60.0527%26 Jan →
nuke16–13-0.0025%24 Jan →
dust213–7-0.0324%24 Jan →
vertigo7–13-0.067%7 Jan →
dust213–11-0.0431%7 Jan →
ancient12–12-0.0320%4 Jan →
overpass3–13-0.0730%4 Jan →
mirage13–5-0.0650%27 Dec →
train14–16-0.0425%25 Dec →
ancient6–13-0.0540%25 Dec →
inferno16–13-0.0327%23 Dec →
nuke13–10-0.0429%23 Dec →
mirage13–30.0733%23 Dec →
overpass13–10-0.0210%23 Dec →
mirage13–9-0.0220%23 Dec →
overpass13–6-0.1021%23 Dec →
dust25–13-0.0838%23 Dec →
inferno13–70.0433%23 Dec →
mirage10–13-0.0323%22 Dec →
ancient8–13-0.0034%22 Dec →
train7–4-0.0229%22 Dec →
overpass13–8-0.0333%21 Dec →
dust213–4-0.1133%17 Dec →
inferno10–13-0.0434%17 Dec →
ancient12–12-0.0618%15 Dec →
nuke7–13-0.0131%2 Dec →
office13–7-0.0429%2 Dec →
overpass13–40.0016%2 Dec →
train9–13-0.0729%29 Nov →
inferno6–13-0.0219%27 Nov →
dust27–13-0.0819%21 Nov →
mirage13–100.0039%21 Nov →
train13–10-0.0816%21 Nov →
dust213–30.0638%21 Nov →
inferno15–15-0.0827%20 Nov →
nuke13–5-0.0018%20 Nov →
mirage3–13-0.0925%5 Nov →
ancient12–12-0.0435%5 Nov →
train13–90.0126%6 Oct →
overpass13–8-0.0719%22 Sept →
inferno3–8-0.1014%8 Sept →
ancient9–13-0.0626%8 Sept →
dust26–13-0.0532%8 Sept →
overpass13–4-0.0124%7 Sept →
mirage13–100.0028%7 Sept →
train13–10-0.0225%7 Sept →
overpass13–11-0.0129%5 Sept →
mirage13–90.0133%5 Sept →
inferno13–60.0532%5 Sept →
ancient4–13-0.0818%27 Aug →
mirage6–13-0.0726%27 Aug →
dust213–7-0.0626%26 Aug →
ancient2–13-0.0825%26 Aug →
ancient16–140.0226%26 Aug →
inferno11–13-0.0439%26 Aug →
mirage4–13-0.0327%26 Aug →
anubis13–60.0941%25 Aug →
overpass13–5-0.0817%25 Aug →
mirage3–00.0325%25 Aug →
dust27–13-0.0919%23 Aug →
overpass13–40.0237%20 Aug →
ancient8–13-0.1121%18 Aug →
ancient10–130.0227%4 Aug →
mirage11–130.0233%27 Jul →
mirage8–13-0.0223%22 Jul →
dust26–13-0.0226%22 Jul →

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 →

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