BASS WINDU

BASS WINDU — CS2 Stats

76561198214546443[U:1:254280715]Steam profile ↗✓ No bans

3,113Tracked matches59%Win rate2020Tracked since
5,053Hours in CS25Hrs last 2 wks
CSDB Rating6.7 SolidSupport
Premier CS Rating17,662Purple band · top ~17.8% of ranked players (population est.)
FaceitLevel 10 · 1,925 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGBASS WINDUFACEITLevel 10 · 1,925 ELOSTANDINGTop 12.4% of rankedPREMIER17,662 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning54
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWLLWWWWLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +4.8pp headshot accuracy · +85ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 558ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 610ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 568ms

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 (+1.7 against its own average).

Aim7.9
Utility5.9
Positioning5.4
Opening Duels1.9
Clutch3.8

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 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 564ms 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

Aim7.9
Positioning5.4
Utility5.9
Mechanics8.2
Opening Duels3.0
Win Impact7.9

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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time561ms−36ms
first ⅓ avg 596ms → last ⅓ avg 561ms
Headshot accuracy18.7%+4.4%
first ⅓ avg 14.4% → last ⅓ avg 18.7%

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

0.11Best match rating · 13–3 · ancient, 20 Jul →
100%Best headshot accuracy · 0–13 · inferno, 28 Sept →
344msFastest reaction time · 7–13 · inferno, 21 Aug →
13–0Biggest win · nuke, 11 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 72% over 18mirageWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
dust2B2512–1348%0.00
mirageD184–1422%-0.01
ancientS1813–572%0.02
infernoA138–562%-0.02
nukeB105–550%0.00
cacheA74–357%-0.01
anubisS75–271%0.02
vertigo—10–10%0.10
overpass—10–10%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

233,611Lifetime kills
1.11K/D
9,482Matches
32.3%Match win rate
38.5%Headshot %
16.3%Shot accuracy
18,428MVPs
3,452Hours (in match)
4,174Bombs planted
2,566Bombs defused

Most-used weapons

AK-4781,927
AWP52,292
MP94,920
MAC-103,225
Tec-93,050

Lifetime map wins

22,851dust2
8,522inferno
2,219nuke
2,122vertigo
824train
139italy
78lake
67office

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

Faceit stats

Combat

1,454Matches
50%Win rate
1.12Avg K/D
83.5ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust237652%1.1417.2
Mirage31249%1.0516.1
Ancient24543%1.1216.7
Anubis17656%1.1817.3
Inferno17347%1.1115.9
Overpass4852%1.1218.5
Vertigo3161%1.2417.7
Nuke3057%1.0917.6

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.

17.5%Headshot accuracy
39.0%Accuracy (enemy spotted)
40.7%Spray accuracy
86.9%Counter-strafing
11.5°Preaim
564msReaction time
42.6%T opening success
41.1%CT opening success
0.58Enemies flashed / flash
5.6%Flash assists
8.49HE damage / grenade
11.47Flashes / match

Recommended for you

Spend your practice time on Mirage

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

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.084%11 Nov →
inferno13–8-0.0117%8 Nov →
mirage3–10-0.037%30 Sept →
nuke11–130.0114%30 Sept →
inferno13–2-0.026%30 Sept →
dust213–70.0820%29 Sept →
inferno16–14-0.0611%29 Sept →
dust213–50.0621%28 Sept →
inferno0–13-0.03100%28 Sept →
dust20–4-0.0433%27 Sept →
nuke0–13-0.0929%27 Sept →
cache13–10-0.0220%25 Sept →
mirage13–7-0.0114%25 Sept →
dust213–50.0130%25 Sept →
anubis13–7-0.0115%25 Sept →
ancient3–13-0.0318%25 Sept →
mirage13–70.0121%24 Sept →
ancient9–30.0117%24 Sept →
inferno13–80.019%24 Sept →
dust27–100.0413%24 Sept →
cache13–9-0.0220%23 Sept →
inferno15–15-0.0112%23 Sept →
mirage3–13-0.0511%23 Sept →
ancient13–30.0924%23 Sept →
anubis13–30.029%23 Sept →
nuke13–5-0.0714%23 Sept →
mirage10–13-0.0313%22 Sept →
dust210–130.0118%20 Sept →
mirage7–13-0.0523%20 Sept →
nuke13–8-0.009%19 Sept →
mirage12–160.0113%19 Sept →
inferno9–130.0120%18 Sept →
ancient11–130.0418%17 Sept →
mirage5–13-0.0614%17 Sept →
dust23–13-0.0116%17 Sept →
inferno13–9-0.049%17 Sept →
ancient16–140.0110%17 Sept →
inferno13–4-0.058%16 Sept →
mirage13–16-0.0112%16 Sept →
nuke13–110.1014%16 Sept →
dust213–110.0210%16 Sept →
dust211–13-0.0027%16 Sept →
ancient13–1-0.0211%16 Sept →
ancient13–30.0810%15 Sept →
dust215–150.0919%15 Sept →
dust27–13-0.0531%13 Sept →
mirage10–13-0.0113%13 Sept →
dust216–130.0410%13 Sept →
inferno13–50.0315%10 Sept →
anubis4–130.0012%10 Sept →
ancient13–8-0.0313%10 Sept →
anubis13–10.0117%10 Sept →
mirage13–30.0414%9 Sept →
cache8–13-0.0219%9 Sept →
ancient13–30.0211%9 Sept →
mirage2–130.0143%26 Aug →
nuke10–130.0623%25 Aug →
dust213–7-0.029%24 Aug →
cache13–90.079%24 Aug →
mirage10–13-0.024%24 Aug →
vertigo12–120.1019%22 Aug →
dust213–11-0.0020%22 Aug →
inferno7–13-0.0314%21 Aug →
nuke13–70.0421%16 Aug →
mirage13–70.0518%14 Aug →
anubis8–13-0.112%12 Aug →
mirage11–130.0116%12 Aug →
dust213–7-0.0511%2 Aug →
dust213–90.0716%30 Jul →
dust213–10-0.0822%27 Jul →
dust29–130.0431%22 Jul →
dust211–13-0.0315%22 Jul →
anubis13–70.1018%21 Jul →
dust26–13-0.017%21 Jul →
nuke10–130.0010%21 Jul →
dust24–13-0.107%21 Jul →
cache15–15-0.0513%20 Jul →
ancient13–10-0.0212%20 Jul →
ancient13–30.118%20 Jul →
cache13–6-0.006%18 Jul →
ancient13–80.0110%17 Jul →
mirage11–130.0310%15 Jul →
ancient10–13-0.0613%15 Jul →
cache9–13-0.0031%14 Jul →
nuke13–0-0.0150%11 Jul →
dust213–6-0.029%10 Jul →
ancient13–10.059%6 Jul →
inferno6–13-0.029%6 Jul →
nuke3–12-0.0117%30 Jun →
ancient1–13-0.062%28 Jun →
dust213–10-0.0315%19 Jun →
inferno13–6-0.0013%11 Jun →
overpass4–13-0.0610%10 Jun →
dust28–13-0.019%7 Jun →
ancient13–90.0210%20 May →
dust24–130.0819%18 May →
mirage6–130.0531%11 May →
ancient9–130.028%11 May →
ancient13–100.0516%10 May →
anubis16–140.099%9 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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