Bansku

Bansku — CS2 Stats

FI76561198043957513[U:1:83691785]Steam profile ↗✓ No bans

1,620Tracked matches63%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
FaceitLevel 10 · 2,360 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,360 → 2,360
+18Tracked matches · now 1,620
+6.7ppWin rate · 56.7% → 63.3%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 31 days played since 24 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 25,666 -2,101 24 Nov6 Jul · 18 days played
24,84428,434peak 28,43424 Nov6 Jul
Faceit ELO: 2,360 +0 2 Sept4 Sept · 2 observations
2,3602,360peak 2,3602 Sept4 Sept
28,670Peak Premier in tracked matches
2,360Highest Faceit ELO seen on CSDB
31Days played since 2025-11-24

Faceit ELO

  • At peak — 2,360
  • Next: 2,500 ELO at 2,500 140 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-02
  • Level 9 first seen 2026-09-02

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.

Share this profile

CSDB.GGBanskuFACEITLevel 10 · 2,360 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,360csdb.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

Aim80
Positioning57
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY57421Last 10057%Win rateLWWWLWTWLW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +0.2pp headshot accuracy · +73ms reaction

Win rate down 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

  • 32 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 520ms

Last 10

  • 631 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 567ms

Last 20

  • 1451 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 531ms

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: SupportUtility contribution stands above the rest of this profile (+1.4 against its own average).

Aim8.0
Utility5.9
Positioning5.7
Opening Duels3.7
Clutch2.8

Strong CT-side opener

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: utility contribution, positioning profile.

Where you differ: 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

T-side openings. Opening success drops from 56% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim8.0
Positioning5.7
Utility5.9
Mechanics6.6
Opening Duels3.3
Win Impact9.4

Composite 6.7/10 (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 time562ms−65ms
first ⅓ avg 627ms → last ⅓ avg 562ms
Headshot accuracy20.9%−0.0%
first ⅓ avg 20.9% → last ⅓ avg 20.9%

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

0.19Best match rating · 13–6 · anubis, 26 May
52%Best headshot accuracy · 1–13 · mirage, 26 Nov
313msFastest reaction time · 13–0 · mirage, 6 Sept
13–0Biggest win · mirage, 6 Sept

Across the last 100 tracked matches.

Highlights

8Longest win streak
89In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 67% over 15ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB28151354%0.02
nukeA1810856%0.03
mirageS1510567%0.02
ancientC114736%-0.02
anubisS96367%0.00
dust2A85363%-0.00
cache440100%0.09
overpass3030%-0.02
train220100%-0.03
debris110100%0.14
eldorado1010%-0.24

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,386Matches
53%Win rate
1.15Avg K/D
83.4ADR
48%Headshot %

Clutches & streaks

34%1v1 clutch win
24%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient2378%1.3117.4
Inferno2357%1.3317.3
Mirage1464%1.1818.1
Nuke1377%1.5119.0
Train580%1.3716.4
Anubis540%1.1017.0
Dust2333%0.7615.0
Overpass20%0.7412.5

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.

21.5%Headshot accuracy
33.6%Accuracy (enemy spotted)
40.2%Spray accuracy
79.9%Counter-strafing
8.3°Preaim
568msReaction time
30.4%T opening success
55.8%CT opening success
0.54Enemies flashed / flash
10.3%Flash assists
10.05HE damage / grenade
6.82Flashes / 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 30.4259% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–130.0212%11 Sept
cache13–10.0920%11 Sept
nuke13–70.1016%11 Sept
debris9–70.1421%10 Sept
eldorado3–9-0.240%10 Sept
inferno9–60.1132%10 Sept
nuke8–80.0023%10 Sept
dust213–10-0.0132%10 Sept
nuke8–13-0.0616%9 Sept
anubis13–11-0.0323%6 Sept
mirage13–00.0821%6 Sept
cache13–100.0922%6 Sept
cache13–20.1324%6 Sept
mirage13–10-0.0218%6 Sept
nuke13–80.0319%6 Sept
inferno13–50.0314%6 Sept
nuke7–10.1312%6 Sept
dust210–13-0.0526%6 Sept
inferno13–40.0620%31 Jul
inferno11–130.0117%31 Jul
mirage13–5-0.0115%31 Jul
anubis11–130.0014%9 Jul
inferno13–30.0325%9 Jul
inferno2–5-0.0720%9 Jul
cache13–50.0332%9 Jul
inferno13–80.0418%6 Jul
ancient13–80.0420%24 Jun
mirage13–2-0.0029%24 Jun
anubis16–13-0.0217%24 Jun
inferno4–110.0635%24 Jun
ancient4–13-0.0832%15 Jun
ancient5–13-0.0713%15 Jun
inferno12–160.0232%12 Jun
ancient14–16-0.0027%12 Jun
dust28–20.0335%12 Jun
mirage16–140.0528%12 Jun
mirage13–60.1432%11 Jun
inferno13–100.0039%11 Jun
nuke11–130.0125%11 Jun
dust213–40.0127%11 Jun
dust29–13-0.0718%10 Jun
inferno8–13-0.0433%10 Jun
nuke13–40.0630%10 Jun
ancient8–13-0.0924%10 Jun
ancient13–16-0.0323%7 Jun
inferno13–40.0827%7 Jun
nuke13–110.0218%7 Jun
inferno13–50.0938%7 Jun
nuke13–40.0924%2 Jun
nuke11–130.0410%2 Jun
inferno11–130.0518%2 Jun
inferno13–10.0519%2 Jun
inferno11–130.0216%1 Jun
ancient13–7-0.0743%1 Jun
anubis12–5-0.0225%29 May
mirage8–13-0.0219%29 May
anubis13–110.0413%29 May
inferno13–90.0819%29 May
inferno7–13-0.0221%29 May
inferno7–13-0.0220%29 May
dust216–130.0114%27 May
inferno1–13-0.0131%27 May
anubis9–13-0.0326%27 May
anubis5–13-0.1311%27 May
anubis13–60.1916%26 May
nuke13–60.0018%26 May
nuke13–10-0.0322%26 May
inferno13–100.0015%25 May
inferno13–70.0024%25 May
nuke13–80.0615%25 May
mirage13–00.1824%25 May
nuke8–13-0.0223%27 Feb
dust213–80.069%21 Feb
anubis13–80.0319%21 Feb
inferno13–70.0315%21 Feb
ancient10–130.0325%21 Feb
mirage13–50.0416%18 Jan
nuke2–130.0227%18 Jan
mirage3–13-0.0511%18 Jan
nuke7–13-0.0518%18 Jan
nuke9–130.0918%18 Jan
mirage5–13-0.0123%18 Jan
overpass6–13-0.0223%16 Dec
train16–140.0021%11 Dec
dust29–13-0.0127%10 Dec
inferno13–70.0020%10 Dec
mirage9–130.0313%3 Dec
nuke13–90.0219%3 Dec
inferno7–13-0.0419%2 Dec
overpass8–13-0.0410%2 Dec
train13–11-0.0625%2 Dec
mirage13–6-0.0124%30 Nov
inferno13–11-0.0232%30 Nov
ancient16–13-0.0019%26 Nov
overpass2–130.0112%26 Nov
mirage1–13-0.0752%26 Nov
inferno11–130.0223%25 Nov
ancient14–16-0.0222%25 Nov
mirage13–5-0.0928%25 Nov
ancient13–60.0520%24 Nov

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →