BNJG

BNJG — CS2 Stats

UG76561198162268471[U:1:202002743]Steam profile ↗✓ No bans

1,054Tracked matches52%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,570 -2,987 18 Feb – 6 May · 17 days played
17,31020,557peak 20,55718 Feb6 May
22,531Peak Premier in tracked matches
32Days played since 2025-02-18

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

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CSDB.GGBNJGFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning61
Utility7

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLLLLWWWLLW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +2.6pp headshot accuracy · −128ms reaction

Win rate −10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 597ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 563ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 627ms

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 (+2.6 against its own average).

Aim6.8
Utility0.7
Positioning6.1
Opening Duels4.3
Clutch2.8

Limited utility dependence

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

donk

Plays most like donk 73% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 51% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 640ms 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

Aim6.8
Positioning6.1
Utility0.7
Mechanics7.8
Opening Duels3.2
Win Impact5.6

Composite 5.4/10 (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 rating0.00+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time647ms+25ms
first ⅓ avg 622ms → last ⅓ avg 647ms
Headshot accuracy24.3%+5.2%
first ⅓ avg 19.1% → last ⅓ avg 24.3%

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

0.14Best match rating · 9–7 · vertigo, 26 Feb →
41%Best headshot accuracy · 13–3 · inferno, 2 May →
422msFastest reaction time · 16–13 · inferno, 4 Oct →
13–2Biggest win · dust2, 26 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
7–7In matches decided by ≤2 rounds
18Overtime games

Map breakdown

dust2Best map · 56% over 16nukeWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB2412–1250%0.01
mirageC2310–1343%-0.01
dust2A169–756%0.01
anubisB136–746%0.00
nukeC125–742%-0.02
ancientB63–350%-0.02
overpass—30–30%-0.05
vertigo—21–150%0.03
train—10–10%-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,797Matches
50%Win rate
1.20Avg K/D
81.0ADR
43%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8156%1.1116.4
Dust25756%1.0215.3
Ancient5250%1.0716.6
Anubis4538%1.0615.9
Inferno3636%1.1516.8
Nuke2124%1.0216.3
Train1164%1.1619.3
Vertigo1100%0.8012.0

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.

24.4%Headshot accuracy
29.6%Accuracy (enemy spotted)
31.6%Spray accuracy
85.1%Counter-strafing
9.1°Preaim
640msReaction time
34.5%T opening success
51.0%CT opening success
0.32Enemies flashed / flash
2.4%Flash assists
8.70HE damage / grenade
1.66Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3182 — below the 0.5 mark we flag

    Grenade Lineups →
  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 34.5119% — below the 40% mark we flag

Spend your practice time on Nuke

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0021%30 Jan →
dust25–13-0.0417%24 Jan →
overpass14–16-0.0820%6 Oct →
inferno5–130.0428%4 Oct →
mirage16–130.0326%4 Oct →
inferno16–13-0.0137%4 Oct →
nuke13–10-0.0219%6 May →
mirage7–130.0119%6 May →
inferno2–13-0.0838%2 May →
inferno13–3-0.0141%2 May →
inferno8–130.0019%2 May →
anubis3–130.0527%30 Apr →
inferno15–150.0429%29 Apr →
dust213–100.0423%29 Apr →
dust213–160.0319%27 Apr →
inferno13–70.1029%26 Apr →
dust213–40.0123%26 Apr →
mirage13–8-0.019%26 Apr →
anubis11–13-0.0333%26 Apr →
dust213–20.0329%26 Apr →
anubis13–60.0323%25 Apr →
ancient16–14-0.0813%25 Apr →
anubis13–30.0725%25 Apr →
mirage3–13-0.0229%25 Apr →
anubis13–40.0229%25 Apr →
mirage13–7-0.0127%22 Apr →
nuke9–130.0129%22 Apr →
dust25–13-0.095%22 Apr →
inferno4–90.0535%17 Apr →
nuke12–160.0023%17 Apr →
nuke9–40.057%31 Mar →
dust213–7-0.0433%25 Mar →
anubis13–6-0.0220%25 Mar →
dust213–160.0519%25 Mar →
mirage9–130.0525%24 Mar →
inferno13–40.0018%24 Mar →
ancient15–15-0.0423%24 Mar →
mirage13–10-0.0513%24 Mar →
mirage14–160.0415%24 Mar →
dust219–17-0.0214%23 Mar →
inferno4–13-0.0330%22 Mar →
inferno6–130.0011%17 Mar →
inferno13–100.0320%13 Mar →
nuke2–13-0.0123%13 Mar →
mirage8–13-0.0230%13 Mar →
inferno4–13-0.048%13 Mar →
mirage13–110.0519%13 Mar →
inferno13–50.0621%13 Mar →
dust213–100.0333%12 Mar →
mirage9–13-0.1417%6 Mar →
dust213–20.0328%5 Mar →
mirage13–90.0524%28 Feb →
dust211–130.0517%27 Feb →
train3–13-0.0917%27 Feb →
inferno14–160.0131%26 Feb →
anubis5–13-0.0618%26 Feb →
mirage6–13-0.0218%26 Feb →
anubis5–13-0.0126%26 Feb →
mirage13–50.0119%26 Feb →
inferno6–90.0026%26 Feb →
inferno9–10.106%26 Feb →
overpass8–80.0121%26 Feb →
inferno9–30.0614%26 Feb →
vertigo9–70.1421%26 Feb →
mirage9–13-0.0222%26 Feb →
mirage13–6-0.0223%24 Feb →
dust213–90.0817%24 Feb →
anubis13–3-0.0126%23 Feb →
inferno13–11-0.0617%23 Feb →
mirage8–13-0.0420%21 Feb →
overpass4–9-0.0821%21 Feb →
nuke3–9-0.0910%21 Feb →
vertigo2–9-0.0821%21 Feb →
mirage6–13-0.1219%21 Feb →
ancient6–130.0318%20 Feb →
mirage13–8-0.0327%20 Feb →
dust213–90.1123%20 Feb →
anubis20–220.0215%20 Feb →
inferno13–60.0421%20 Feb →
nuke19–16-0.0328%20 Feb →
anubis12–16-0.047%19 Feb →
mirage13–11-0.0224%19 Feb →
mirage12–16-0.0217%18 Feb →
nuke9–13-0.0220%18 Feb →
inferno2–13-0.137%18 Feb →
nuke7–13-0.0130%18 Feb →
inferno16–13-0.0216%18 Feb →
ancient13–80.0223%18 Feb →
nuke5–13-0.0713%18 Feb →
mirage9–130.0333%18 Feb →
dust211–13-0.0415%18 Feb →
anubis13–11-0.009%18 Feb →
ancient16–13-0.0518%18 Feb →
mirage9–13-0.0423%18 Feb →
anubis9–13-0.0018%18 Feb →
inferno13–80.0220%18 Feb →
nuke13–7-0.0224%18 Feb →
ancient6–130.0024%18 Feb →
nuke13–80.0025%18 Feb →
dust23–13-0.043%18 Feb →

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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