Zorj1

Zorj1 — CS2 Stats

FI76561198201832831[U:1:241567103]Steam profile ↗✓ No bans

2,159Tracked matches64%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
CSDB Leaderboard#5929 of 259896 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 27,108 +367 1 Sept – 3 Nov · 16 days played
25,58627,329peak 27,3291 Sept3 Nov
Faceit ELO: 1,665 +0 1 Sept – 5 Sept · 2 observations
1,6651,665peak 1,6651 Sept5 Sept
27,329Peak Premier in tracked matches
1,665Highest Faceit ELO seen on CSDB
26Days played since 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGZorj1PEAK ELO1,665csdb.gg/stats

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Performance scores

Aim63
Positioning61
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateLWLWLWWWLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +1.0pp headshot accuracy · +48ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 513ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 553ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 529ms

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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim6.3
Utility5.8
Positioning6.1
Opening Duels4.4
Clutch4.6

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

m0NESY

Plays most like m0NESY 82% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Counter-strafing. Only 69% 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

Aim6.3
Positioning6.1
Utility5.8
Mechanics4.3
Opening Duels6.3
Win Impact9.8

Composite 6.2/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time537ms−8ms
first ⅓ avg 545ms → last ⅓ avg 537ms
Headshot accuracy24.2%−0.3%
first ⅓ avg 24.5% → last ⅓ avg 24.2%

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.

Personal bests

0.12Best match rating · 12–12 · nuke, 30 Oct →
44%Best headshot accuracy · 1–13 · ancient, 30 Oct →
398msFastest reaction time · 7–13 · dust2, 17 Oct →
13–0Biggest win · dust2, 27 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 64% over 11ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2311–1248%-0.00
cacheB189–950%0.02
nukeA148–657%0.04
anubisB147–750%0.02
infernoA117–464%0.02
ancientC73–443%-0.03
mirageC73–443%0.01
office—21–150%-0.06
overpass—21–150%0.01
vertigo—11–0100%-0.00
train—10–10%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

122Matches
61%Win rate
1.15Avg K/D
85.3ADR
51%Headshot %

Clutches & streaks

43%1v1 clutch win
29%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2952%1.1618.8
Overpass2467%1.3017.4
Nuke2167%1.1014.7
Ancient1861%1.1214.4
Train956%1.1017.7
Anubis875%1.0515.4
Mirage862%1.1716.6
Dust2333%0.9916.0

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.

23.8%Headshot accuracy
32.3%Accuracy (enemy spotted)
33.0%Spray accuracy
69.5%Counter-strafing
11.5°Preaim
532msReaction time
57.6%T opening success
53.0%CT opening success
0.57Enemies flashed / flash
10.0%Flash assists
7.69HE damage / grenade
5.79Flashes / match

Recommended for you

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0328%3 Nov →
nuke13–100.0430%3 Nov →
dust214–16-0.0118%3 Nov →
ancient13–5-0.0124%3 Nov →
mirage10–130.0327%2 Nov →
inferno13–90.0425%2 Nov →
nuke13–60.1126%2 Nov →
anubis13–30.0740%2 Nov →
cache2–10-0.0324%2 Nov →
dust213–70.0924%2 Nov →
nuke13–60.0431%1 Nov →
anubis13–11-0.0319%1 Nov →
cache13–80.0227%1 Nov →
nuke12–120.0229%1 Nov →
dust213–110.0228%1 Nov →
cache13–70.1015%1 Nov →
inferno13–80.0519%1 Nov →
dust27–13-0.0224%1 Nov →
cache7–130.0339%31 Oct →
anubis8–130.0425%31 Oct →
dust22–13-0.0518%31 Oct →
cache13–30.0926%31 Oct →
nuke13–40.0817%31 Oct →
anubis13–4-0.0514%31 Oct →
dust27–13-0.0817%31 Oct →
mirage11–00.0718%31 Oct →
dust213–10-0.0216%30 Oct →
nuke12–120.1214%30 Oct →
inferno13–80.0717%30 Oct →
ancient1–13-0.0944%30 Oct →
vertigo13–10-0.0019%30 Oct →
cache12–120.0231%30 Oct →
dust213–4-0.0027%28 Oct →
office13–7-0.0317%28 Oct →
office5–13-0.0918%28 Oct →
cache13–50.0530%27 Oct →
dust21–13-0.0811%27 Oct →
dust26–13-0.0433%27 Oct →
cache12–12-0.0324%26 Oct →
mirage11–13-0.0324%26 Oct →
nuke13–110.0117%25 Oct →
anubis9–130.0219%25 Oct →
cache9–13-0.0315%25 Oct →
mirage13–30.0830%25 Oct →
anubis4–13-0.0623%25 Oct →
nuke13–50.0827%24 Oct →
dust28–13-0.0330%24 Oct →
dust23–130.0120%24 Oct →
anubis13–70.0732%23 Oct →
inferno11–130.0133%23 Oct →
dust210–13-0.0328%23 Oct →
ancient7–13-0.0535%23 Oct →
inferno13–50.0426%22 Oct →
cache8–130.0220%22 Oct →
anubis13–80.0619%21 Oct →
cache13–110.0226%21 Oct →
cache13–50.1030%21 Oct →
mirage15–150.0119%20 Oct →
mirage13–50.0034%20 Oct →
dust213–2-0.0436%19 Oct →
anubis13–100.0016%19 Oct →
ancient11–13-0.0114%19 Oct →
mirage9–13-0.0722%19 Oct →
ancient13–6-0.0032%19 Oct →
nuke1–13-0.0119%19 Oct →
dust211–130.0326%18 Oct →
cache13–110.0836%18 Oct →
inferno13–30.0225%18 Oct →
dust26–20.0727%18 Oct →
anubis7–130.0519%17 Oct →
nuke9–130.0519%17 Oct →
inferno9–13-0.0516%17 Oct →
dust27–13-0.0219%17 Oct →
overpass6–13-0.0022%17 Oct →
nuke13–80.0222%17 Oct →
cache7–130.0832%17 Oct →
inferno13–4-0.0020%17 Oct →
anubis12–120.0626%17 Oct →
anubis9–130.0525%16 Oct →
inferno10–130.0923%16 Oct →
ancient8–13-0.0123%16 Oct →
dust216–14-0.0211%15 Oct →
dust213–40.0738%12 Oct →
overpass13–40.0323%11 Oct →
dust213–60.0718%11 Oct →
nuke10–13-0.0127%11 Oct →
nuke13–60.0420%9 Oct →
inferno13–100.0021%9 Oct →
ancient13–11-0.0312%9 Oct →
anubis8–13-0.0425%9 Oct →
cache13–110.0431%9 Oct →
train12–120.0027%9 Oct →
dust210–130.0230%7 Oct →
inferno4–130.0032%7 Oct →
cache13–11-0.0421%7 Oct →
dust213–5-0.0129%4 Oct →
anubis13–30.0334%4 Oct →
nuke10–13-0.0328%4 Oct →
cache1–13-0.0537%1 Oct →
dust213–00.0126%27 Sept →

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 →

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