BanjoGodSword

BanjoGodSword — CS2 Stats

76561198204023408[U:1:243757680]Steam profile ↗✓ No bans

125Tracked matches48%Win rate2020Tracked since
3,912Hours in CS
CSDB Rating5.5 SolidAll-Rounder
Premier CS Rating21,558Top 50% of 204,412 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#60130 of 251562 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Aug 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,558 +7,973 23 Dec – 14 Aug · 5 days played
13,44821,558peak 21,55823 Dec14 Aug
21,584Peak Premier in tracked matches
42Days played since 2021-02-20

Premier CS Rating

  • At peak — 21,558
  • Next: Red band at 25,000 — 3,442 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,138), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate56.5%45.7%46.8%above
Shot accuracy20.8%12.7%13.0%above
Kill/death ratio0.941.051.060.12 short
Match win rate44.5%45.7%46.3%1.8% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBanjoGodSwordFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER21,558 · Pink bandcsdb.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

Aim72
Positioning46
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY50–38–5Last 9354%Win rateLLWWLWWTLL

Last 10 vs previous 10: −10pp win rate · +0.05 avg rating · −4.1pp headshot accuracy · −85ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 29%
  • Avg reaction 547ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 540ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 582ms

Newest first, from the last 93 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.2
Utility4.7
Positioning4.6
Opening Duels2.1
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 96% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning 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

T-side openings. Opening success drops from 45% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms 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

Aim7.2
Positioning4.6
Utility4.7
Mechanics6.2
Opening Duels1.9
Win Impact4.4

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time594ms−34ms
first ⅓ avg 628ms → last ⅓ avg 594ms
Headshot accuracy28.3%+3.8%
first ⅓ avg 24.5% → last ⅓ avg 28.3%

Rolling 5-match average across the last 93 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.10Best match rating · 16–3 · dust2, 8 Oct →
50%Best headshot accuracy · 13–6 · cache, 3 Aug →
406msFastest reaction time · 5–13 · dust2, 13 Aug →
13–0Biggest win · mirage, 2 Aug →

Across the last 93 tracked matches.

Highlights

8Longest win streak
L2Current streak
10–8In matches decided by ≤2 rounds
34Overtime games

Map breakdown

overpassBest map · 67% over 9ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB2814–1450%-0.01
dust2B2111–1052%-0.00
mirageA106–460%0.01
overpassS96–367%-0.01
nukeB84–450%-0.01
cacheA74–357%0.01
ancientC52–340%0.01
anubis—21–150%0.01
vertigo—21–150%-0.04
train—11–0100%0.01

Across the last 93 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

286,427Lifetime kills
0.94K/D
5,974Matches
44.5%Match win rate
56.5%Headshot % · Top 25% of Level 7 players
20.8%Shot accuracy · Top 5% of Level 7 players
18,793MVPs
3,912Hours (in match)
6,858Bombs planted
2,560Bombs defused

Most-used weapons

AK-47144,566
AWP25,957
P2505,380
Knife3,375
UMP-453,037
Tec-92,561

Lifetime map wins

8,796inferno
8,186dust2
4,303cbble
3,997train
994nuke
147lake
123shorttrain
65safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

780Matches
54%Win rate
1.34Avg K/D
87.0ADR
47%Headshot %

Clutches & streaks

42%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1080%1.3619.7
Dust21060%1.8018.7
Inferno978%1.4618.7
Ancient667%1.1517.8
Anubis333%1.2914.3
Nuke250%1.1222.0

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.

28.3%Headshot accuracy
30.6%Accuracy (enemy spotted)
30.9%Spray accuracy
78.1%Counter-strafing
9.4°Preaim
590msReaction time
19.6%T opening success
45.0%CT opening success
0.52Enemies flashed / flash
4.0%Flash assists
9.76HE damage / grenade
6.20Flashes / 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 19.6479% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–130.0328%6 Sept →
dust25–130.0029%24 Aug →
vertigo9–70.0344%23 Aug →
inferno9–40.0722%23 Aug →
ancient10–13-0.0023%22 Aug →
dust213–10.0829%14 Aug →
dust213–4-0.0220%14 Aug →
cache15–15-0.0037%13 Aug →
dust25–130.0120%13 Aug →
inferno4–13-0.0424%13 Aug →
cache13–5-0.0635%3 Aug →
mirage8–13-0.0726%3 Aug →
mirage14–16-0.1118%3 Aug →
nuke4–9-0.1040%3 Aug →
inferno7–9-0.0521%3 Aug →
inferno13–110.0140%3 Aug →
cache13–60.0250%3 Aug →
dust29–13-0.0432%2 Aug →
inferno16–140.0330%2 Aug →
mirage13–4-0.0024%2 Aug →
mirage13–00.0719%2 Aug →
cache5–130.0121%2 Aug →
inferno6–130.0930%2 Aug →
mirage13–110.0025%2 Aug →
inferno13–110.0034%1 Aug →
anubis13–8-0.0220%1 Aug →
dust216–14-0.0432%1 Aug →
inferno8–130.0224%13 Jul →
dust22–13-0.0426%6 Jul →
cache13–90.0731%4 Jul →
overpass8–8-0.0625%14 Jun →
inferno9–7-0.0626%13 Jun →
nuke9–20.0638%13 Jun →
inferno6–13-0.0325%13 Jun →
overpass13–11-0.0329%13 Jun →
inferno5–9-0.1310%13 Jun →
dust211–13-0.0243%26 Dec →
inferno10–13-0.0516%24 Dec →
inferno10–13-0.0718%24 Dec →
mirage12–120.0527%24 Dec →
dust213–3-0.0029%23 Dec →
inferno13–70.0527%23 Dec →
ancient10–13-0.0124%23 Dec →
dust213–9-0.0532%23 Dec →
nuke5–9-0.1050%14 Dec →
vertigo4–9-0.1229%14 Dec →
inferno5–9-0.0130%14 Dec →
dust216–120.0624%14 Dec →
inferno13–30.0223%14 Dec →
nuke7–9-0.0326%14 Dec →
inferno9–50.0626%14 Dec →
overpass9–30.0529%14 Dec →
inferno9–7-0.0135%14 Dec →
nuke5–9-0.0429%14 Dec →
dust213–50.0637%9 Dec →
inferno8–80.0240%8 Dec →
overpass7–9-0.0526%8 Dec →
ancient13–40.0922%8 Dec →
nuke13–00.0541%8 Dec →
inferno13–30.0024%16 Feb →
dust213–50.0420%16 Feb →
train13–110.0132%16 Feb →
overpass16–3-0.0126%29 Oct →
ancient16–110.0330%29 Oct →
dust216–13-0.0215%26 Oct →
inferno14–160.0529%24 Oct →
dust214–16-0.0024%23 Oct →
cache16–80.0926%23 Oct →
nuke16–6-0.0017%23 Oct →
inferno13–16-0.0126%22 Oct →
dust216–30.1027%8 Oct →
mirage14–160.0230%7 Oct →
overpass12–00.0615%7 Oct →
ancient10–16-0.0524%2 Oct →
mirage16–80.0540%2 Oct →
inferno14–60.0222%2 Oct →
inferno16–50.0123%1 Oct →
nuke16–40.0718%1 Oct →
dust24–16-0.0824%29 Sept →
dust24–16-0.0423%26 Sept →
dust213–16-0.0137%25 Sept →
inferno10–16-0.0511%7 Sept →
mirage16–110.0226%31 Jul →
inferno9–2-0.1230%22 Jul →
mirage16–120.0634%7 Jul →
dust216–11-0.0220%7 Jul →
cache5–16-0.0239%5 Jul →
inferno15–15-0.0925%29 Jun →
overpass16–13-0.0313%1 Oct →
overpass4–16-0.0314%1 Oct →
overpass16–100.0014%27 Feb →
inferno16–120.0016%20 Feb →
dust211–160.0042%20 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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