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bainz

bainz — CS2 Stats

76561198183817078[U:1:223551350]Steam profile ↗✓ No bans

1,685Tracked matches48%Win rate2020Tracked since
8,790Hours in CS
CSDB Rating3.2 Learning
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), 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 6 medianLevel 7 medianvs Level 7
Headshot rate58.6%44.9%46.2%above
Shot accuracy16.7%11.8%12.5%above
Kill/death ratio0.811.041.060.25 short
Match win rate44.6%45.3%45.9%1.2% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbainzFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim25
Positioning27
Utility51

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateWLWWLLLLLL

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

Aim2.5
Aggression0.0
Utility5.1
Positioning2.7
Opening Duels0.0
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 64% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 705ms 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

Aim2.5
Positioning2.7
Utility5.1
Mechanics4.8
Opening Duels0.0
Win Impact4.4

Composite 3.2/10 (Learning), 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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time701ms+3ms
first ⅓ avg 698ms → last ⅓ avg 701ms
Headshot accuracy19.1%−0.3%
first ⅓ avg 19.5% → last ⅓ avg 19.1%

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.

Highlights

0.09Best rating — grail 13–5
13–1Biggest win — fachwerk
6Longest win streak
5–4In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 57% over 14infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB189–950%-0.02
ancientA148–657%-0.01
dust2B115–645%-0.04
trainD93–633%-0.05
overpassC94–544%-0.03
nukeB84–450%-0.03
infernoD51–420%-0.02
italy—42–250%-0.03
shelter—32–167%-0.02
vertigo—31–233%0.01
office—30–30%-0.07
agency—32–167%-0.02
fachwerk—21–150%-0.02
anubis—20–20%-0.04
grail—22–0100%0.05
alpine—11–0100%-0.04
stronghold—10–10%-0.11
golden—11–0100%-0.04
jura—11–0100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

159,825Lifetime kills
0.81K/D
5,988Matches
44.6%Match win rate
58.6%Headshot % · Top 10% of Level 6 players
16.7%Shot accuracy · Top 25% of Level 6 players
13,443MVPs
8,790Hours (in match)
6,998Bombs planted
1,661Bombs defused

Most-used weapons

AK-4777,036
M4A4 / M4A1-S19,585
AWP12,404
P2000 / USP-S11,767
Desert Eagle10,683
Glock-185,112
P2503,242
MP92,134
MAC-101,853
Tec-91,810

Lifetime map wins

7,968dust2
5,404inferno
2,745train
2,113lake
1,956vertigo
1,862nuke
1,639cbble
945office

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

Faceit stats

Combat

300Matches
51%Win rate
0.99Avg K/D
72.5ADR
43%Headshot %

Clutches & streaks

7%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage757%1.1615.6
Ancient475%1.0614.3
Anubis4100%0.9911.0
Train3100%1.2611.7
Nuke250%1.1016.5

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.

19.4%Headshot accuracy
27.0%Accuracy (enemy spotted)
30.1%Spray accuracy
71.6%Counter-strafing
13.8°Preaim
705msReaction time
16.3%T opening success
19.0%CT opening success
0.72Enemies flashed / flash
7.5%Flash assists
10.47HE damage / grenade
15.17Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.778° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 704.7835ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Inferno

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
shelter13–5-0.0831%15 Aug →
nuke6–13-0.0513%15 Aug →
shelter13–100.0826%7 Aug →
fachwerk13–1-0.0129%7 Aug →
shelter6–13-0.0632%4 Aug →
fachwerk11–13-0.0320%4 Aug →
italy4–13-0.0311%20 Feb →
inferno3–13-0.0230%20 Feb →
ancient2–13-0.108%20 Feb →
inferno2–13-0.078%14 Feb →
train1–13-0.1118%14 Feb →
nuke13–8-0.0327%14 Feb →
ancient13–100.0734%7 Feb →
vertigo9–13-0.0028%7 Feb →
dust213–60.0123%7 Feb →
dust213–10-0.0721%31 Jan →
italy6–2-0.040%31 Jan →
alpine13–7-0.0429%30 Jan →
stronghold2–13-0.1111%24 Jan →
dust24–13-0.0417%5 Dec →
golden13–3-0.0418%5 Dec →
train2–13-0.090%20 Sept →
dust213–6-0.078%20 Sept →
overpass12–12-0.064%20 Sept →
ancient1–13-0.0725%20 Sept →
mirage13–50.0818%20 Sept →
dust29–13-0.0212%20 Sept →
overpass13–60.0615%12 Sept →
ancient9–13-0.0430%12 Sept →
jura13–3-0.0513%12 Sept →
dust213–5-0.0917%12 Sept →
ancient11–130.0829%7 Sept →
mirage13–60.0028%7 Sept →
overpass13–9-0.0220%7 Sept →
ancient13–8-0.0119%5 Sept →
inferno13–20.0531%5 Sept →
vertigo12–12-0.0126%5 Sept →
train4–13-0.0124%30 Aug →
anubis12–12-0.0220%30 Aug →
mirage13–2-0.0221%30 Aug →
nuke9–13-0.0626%23 Aug →
grail13–80.0021%23 Aug →
office4–13-0.0815%23 Aug →
vertigo13–110.0430%22 Aug →
ancient13–8-0.016%22 Aug →
anubis9–13-0.0616%22 Aug →
train7–13-0.0321%22 Aug →
mirage12–120.0520%19 Aug →
ancient10–130.0420%19 Aug →
mirage8–13-0.0514%17 Aug →
ancient7–13-0.0115%17 Aug →
mirage13–9-0.0214%17 Aug →
ancient13–11-0.0116%17 Aug →
train13–3-0.0425%17 Aug →
nuke13–10-0.0121%17 Aug →
overpass4–13-0.0618%17 Aug →
mirage3–13-0.0640%17 Aug →
dust24–13-0.0913%16 Aug →
nuke11–13-0.0918%15 Aug →
mirage13–40.0226%15 Aug →
office10–13-0.0824%15 Aug →
grail13–50.0920%15 Aug →
ancient13–8-0.0717%15 Aug →
inferno8–130.0110%14 Aug →
train3–13-0.0517%14 Aug →
mirage10–13-0.0319%14 Aug →
overpass13–100.0218%13 Aug →
mirage13–100.0317%13 Aug →
nuke8–13-0.0831%13 Aug →
mirage9–13-0.1014%13 Aug →
overpass4–13-0.0938%13 Aug →
train1–13-0.1013%13 Aug →
nuke13–110.0612%12 Aug →
ancient13–100.0123%12 Aug →
dust29–130.0018%12 Aug →
italy5–130.0120%12 Aug →
mirage13–100.0214%9 Aug →
agency1–13-0.0411%9 Aug →
agency13–10-0.0819%9 Aug →
mirage1–13-0.0720%7 Aug →
ancient13–100.0328%7 Aug →
overpass0–3-0.120%6 Aug →
ancient13–8-0.0220%6 Aug →
dust29–13-0.0823%6 Aug →
overpass11–13-0.0515%5 Aug →
train13–50.0412%5 Aug →
overpass13–60.0427%5 Aug →
dust25–13-0.0620%6 Jul →
inferno9–13-0.0828%6 Jul →
mirage3–13-0.099%6 Jul →
mirage7–13-0.0525%26 Jun →
mirage13–50.0321%26 Jun →
dust213–90.0314%20 Jun →
mirage13–3-0.0819%20 Jun →
nuke13–3-0.0123%17 Jun →
train13–11-0.0325%17 Jun →
agency13–100.0516%15 Jun →
mirage5–13-0.0122%15 Jun →
italy8–10-0.0718%15 Jun →
office6–13-0.0529%15 Jun →

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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