jUNiOR-dA-bEAsT

jUNiOR-dA-bEAsT — CS2 Stats

76561198166468460[U:1:206202732]Steam profile ↗✓ No bans

4,359Tracked matches57%Win rate2020Tracked since
CSDB Rating7.9 StrongSupport
CSDB Leaderboard#1390 of 259081 tracked
FaceitLevel 10 · 3,251 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 29,023 +3,276 17 Dec – 7 Jan · 7 days played
25,74729,023peak 29,02317 Dec7 Jan
29,023Peak Premier in tracked matches
3,251Highest Faceit ELO seen on CSDB
72Days played since 2025-08-26

Faceit ELO

  • At peak — 3,251
  • Next: 3,500 ELO at 3,500 — 249 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9

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

Share this profile

CSDB.GGjUNiOR-dA-bEAsTFACEITLevel 10 · 3,251 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,251csdb.gg/stats

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Performance scores

Aim93
Positioning63
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY61–37–2Last 10061%Win rateWLLWLTWWTW

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · +2.1pp headshot accuracy · +91ms 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 0.08
  • Avg headshot accuracy 25%
  • Avg reaction 500ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 545ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 500ms

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 (+1.4 against its own average).

Aim9.3
Utility6.4
Positioning6.3
Opening Duels3.9
Clutch3.4

Sharp aimerExcellent counter-strafing

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

NiKo

Plays most like NiKo 96% playstyle similarity

Most alike: aim profile, utility contribution.

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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

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

Aim9.3
Positioning6.3
Utility6.4
Mechanics8.9
Opening Duels4.0
Win Impact7.4

Composite 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.05
first ⅓ avg -0.01 → last ⅓ avg 0.03
Reaction time521ms−116ms
first ⅓ avg 637ms → last ⅓ avg 521ms
Headshot accuracy21.5%−2.8%
first ⅓ avg 24.3% → last ⅓ avg 21.5%

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

0.25Best match rating · 13–3 · cache, 26 Oct →
44%Best headshot accuracy · 13–7 · mirage, 25 Dec →
352msFastest reaction time · 6–13 · cache, 13 Sept →
13–0Biggest win · dust2, 27 Dec →

Across the last 100 tracked matches.

Highlights

8Longest win streak
14–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 79% over 14anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%0.03
ancientS2115–671%-0.01
dust2A1811–761%0.01
infernoS1411–379%0.04
anubisD62–433%0.01
nukeA53–260%0.00
train—42–250%0.01
cache—32–167%0.11
vertigo—21–150%0.02
overpass—21–150%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8,086Matches
51%Win rate
1.18Avg K/D
82.0ADR
54%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient73654%1.1316.6
Mirage70751%1.0915.9
Dust252750%1.0815.6
Anubis42549%1.0916.3
Inferno24655%1.1816.6
Nuke22549%1.0616.5
Vertigo8649%1.1115.9
Overpass6448%1.0215.3

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.

21.6%Headshot accuracy
40.5%Accuracy (enemy spotted)
42.0%Spray accuracy
90.0%Counter-strafing
8.7°Preaim
519msReaction time
40.9%T opening success
51.4%CT opening success
0.57Enemies flashed / flash
9.9%Flash assists
7.82HE damage / grenade
13.95Flashes / match

Recommended for you

Spend your practice time on Anubis

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–30.2529%26 Oct →
mirage14–160.0414%22 Oct →
mirage10–13-0.0323%13 Oct →
inferno13–110.0430%13 Oct →
train10–130.0928%10 Oct →
train12–120.0614%10 Oct →
ancient13–80.0019%23 Sept →
vertigo13–80.0325%23 Sept →
vertigo12–12-0.0025%23 Sept →
inferno13–100.0013%18 Sept →
cache6–130.0116%13 Sept →
ancient7–13-0.0221%8 Sept →
mirage13–30.0813%8 Sept →
nuke12–16-0.0117%7 Sept →
ancient13–8-0.0626%4 Sept →
nuke13–110.0121%3 Sept →
ancient13–60.0516%2 Sept →
mirage10–13-0.0214%1 Sept →
dust213–80.0224%31 Aug →
anubis6–13-0.0830%30 Aug →
mirage10–130.0514%11 Aug →
mirage13–80.1224%17 Jul →
dust27–130.0223%15 Jul →
anubis13–60.0636%12 Jul →
mirage10–13-0.0225%8 Jul →
mirage13–11-0.0130%6 Jul →
ancient13–90.0221%6 Jul →
anubis17–190.0424%3 Jul →
ancient13–7-0.0110%1 Jul →
mirage16–130.1222%23 Jun →
dust213–110.0520%22 Jun →
mirage13–60.2122%22 Jun →
dust24–130.0620%20 Jun →
nuke4–130.0129%17 Jun →
overpass4–13-0.0521%14 Jun →
cache13–80.0732%7 Jun →
inferno13–50.1120%6 Jun →
ancient13–11-0.0221%3 Jun →
inferno11–130.0919%23 May →
anubis8–13-0.0215%10 May →
dust213–110.0023%8 May →
anubis3–130.1021%26 Apr →
inferno13–110.1821%26 Apr →
anubis13–8-0.0324%22 Apr →
mirage11–130.0015%12 Apr →
mirage13–80.0724%13 Mar →
nuke16–140.0323%28 Feb →
dust213–7-0.0021%28 Feb →
mirage10–13-0.0221%9 Feb →
mirage13–60.0229%7 Jan →
dust25–2-0.0411%7 Jan →
mirage12–160.0117%28 Dec →
dust213–00.0129%27 Dec →
inferno13–60.1343%27 Dec →
train13–40.0133%27 Dec →
dust213–50.0534%27 Dec →
nuke13–11-0.0328%26 Dec →
mirage13–50.1026%25 Dec →
dust213–60.1433%25 Dec →
mirage13–70.0644%25 Dec →
inferno9–130.0726%25 Dec →
dust211–13-0.0225%21 Dec →
ancient13–110.0321%20 Dec →
inferno13–40.0529%20 Dec →
mirage13–00.0722%17 Dec →
dust213–100.0222%16 Dec →
inferno13–11-0.0321%15 Dec →
mirage13–20.1842%15 Dec →
ancient4–13-0.1126%14 Dec →
ancient13–60.0226%14 Dec →
dust216–13-0.0038%14 Dec →
dust25–13-0.0133%22 Nov →
mirage8–13-0.0524%22 Nov →
ancient13–90.0128%21 Nov →
mirage8–13-0.0520%18 Nov →
overpass13–40.0731%16 Nov →
train3–3-0.1110%16 Nov →
dust213–40.0337%16 Nov →
inferno14–16-0.0018%28 Oct →
ancient13–100.0116%17 Oct →
ancient13–6-0.0323%6 Oct →
dust217–19-0.0234%4 Oct →
dust23–13-0.0923%4 Oct →
dust27–13-0.0629%30 Sept →
ancient16–12-0.0615%30 Sept →
ancient5–13-0.0213%29 Sept →
inferno13–8-0.077%21 Sept →
ancient13–100.0511%20 Sept →
inferno9–40.1138%17 Sept →
mirage16–14-0.0328%17 Sept →
ancient12–16-0.0616%15 Sept →
inferno16–130.0123%14 Sept →
mirage19–22-0.0120%14 Sept →
mirage13–90.0133%10 Sept →
ancient6–13-0.0630%5 Sept →
ancient13–90.0827%31 Aug →
ancient0–11-0.0720%29 Aug →
inferno13–11-0.0520%27 Aug →
mirage4–13-0.0324%26 Aug →
ancient13–90.0020%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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