badboyBADINK

badboyBADINK — CS2 Stats

US76561197961123614[U:1:857886]Steam profile ↗✓ No bans

1,213Tracked matches54%Win rate2020Tracked since
12,141Hours in CS
CSDB Rating6.6 SolidSupport
FaceitLevel 10 · 2,167 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate47.9%50.9%
Shot accuracy20.5%13.7%
Kill/death ratio1.221.09
Match win rate42.3%48.4%

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CSDB.GGbadboyBADINKFACEITLevel 10 · 2,167 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning65
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateLLWLWTLWLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −1.1pp headshot accuracy · −23ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 528ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 535ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 547ms

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 (+1.5 against its own average).

Aim8.3
Utility6.5
Positioning6.5
Opening Duels3.0
Clutch4.0

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

iM

Plays most like iM 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.3
Positioning6.5
Utility6.5
Mechanics6.2
Opening Duels3.3
Win Impact6.2

Composite 6.6/10 (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 rating0.04+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time541ms−7ms
first ⅓ avg 549ms → last ⅓ avg 541ms
Headshot accuracy18.5%+2.2%
first ⅓ avg 16.2% → last ⅓ avg 18.5%

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

0.28Best match rating · 9–1 · overpass, 5 Jan →
37%Best headshot accuracy · 13–3 · inferno, 28 Oct →
398msFastest reaction time · 7–13 · inferno, 29 Oct →
13–0Biggest win · inferno, 15 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
7–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 68% over 19mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS1913–668%0.05
dust2B189–950%0.04
anubisC176–1135%0.01
ancientS1510–567%0.01
cacheB84–450%0.02
nukeC52–340%0.10
mirageD51–420%0.02
overpass—41–325%0.05
vertigo—20–20%-0.07
office—21–150%0.08
train—22–0100%0.02
shelter—10–10%0.02
rooftop—11–0100%0.10
palacio—11–0100%0.08

Across the last 100 tracked matches.

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

Lifetime stats

467,287Lifetime kills
1.22K/D · Top 25% of Level 10 players
5,261Matches
42.3%Match win rate
47.9%Headshot %
20.5%Shot accuracy · Top 5% of Level 10 players
9,102MVPs
12,141Hours (in match)
9,941Bombs planted
2,141Bombs defused

Most-used weapons

AK-47193,612
AWP76,043
P25013,169
FAMAS5,511
SG 5534,422

Lifetime map wins

11,146inferno
10,717dust2
4,154train
4,086nuke
2,476cbble
1,107vertigo
273office
35lake

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

Faceit stats

Combat

869Matches
54%Win rate
1.32Avg K/D
81.5ADR
37%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient10051%1.2117.1
Anubis8455%1.2717.1
Mirage7551%1.1214.9
Inferno7163%1.3816.6
Dust25345%1.2118.1
Overpass1963%1.2615.7
Nuke1844%1.2215.6
Vertigo1155%1.2514.9

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.

18.2%Headshot accuracy
39.3%Accuracy (enemy spotted)
46.1%Spray accuracy
77.9%Counter-strafing
10.0°Preaim
543msReaction time
44.8%T opening success
41.2%CT opening success
0.61Enemies flashed / flash
8.3%Flash assists
9.66HE damage / grenade
11.99Flashes / 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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0610%2 Nov →
anubis5–13-0.0615%2 Nov →
cache13–50.0915%2 Nov →
vertigo9–13-0.0017%2 Nov →
inferno13–30.0837%28 Oct →
cache15–150.0518%21 Oct →
nuke11–130.0615%21 Oct →
nuke13–90.0715%20 Oct →
mirage8–13-0.0613%14 Oct →
ancient13–90.0727%17 Sept →
inferno13–30.0923%28 Aug →
cache13–9-0.0123%21 Aug →
cache13–50.0414%14 Aug →
ancient3–13-0.0735%12 Aug →
anubis16–14-0.007%5 Aug →
cache13–80.0520%5 Aug →
mirage12–160.0324%1 Aug →
anubis4–13-0.0310%1 Aug →
inferno13–70.0322%29 Jul →
anubis4–130.0514%27 Jul →
dust27–130.0019%22 Jul →
inferno13–30.0826%22 Jul →
inferno13–00.1121%15 Jul →
shelter11–130.0217%10 Jul →
cache2–130.0318%10 Jul →
dust213–50.0825%24 Jun →
dust213–90.1722%6 Jun →
cache8–13-0.017%6 Jun →
ancient13–70.0510%6 Jun →
anubis15–150.1020%30 Apr →
ancient7–13-0.0127%30 Apr →
anubis13–50.0713%18 Apr →
dust213–90.0913%28 Mar →
ancient10–13-0.0319%18 Feb →
inferno13–90.1018%17 Feb →
dust213–80.0418%16 Feb →
ancient13–10-0.0227%13 Feb →
dust23–130.1420%8 Feb →
overpass3–130.0111%8 Feb →
office13–40.0716%8 Feb →
mirage7–130.0116%8 Feb →
dust27–13-0.049%8 Feb →
dust213–40.1730%1 Feb →
anubis11–13-0.007%23 Jan →
dust25–13-0.0112%21 Jan →
dust213–100.0414%16 Jan →
dust20–13-0.0110%10 Jan →
overpass9–10.2815%5 Jan →
inferno9–00.2826%5 Jan →
inferno9–00.2523%5 Jan →
inferno10–130.0216%23 Dec →
ancient13–70.1015%17 Dec →
inferno5–13-0.069%12 Dec →
ancient13–100.0217%14 Nov →
ancient13–11-0.0113%12 Nov →
overpass5–13-0.0511%9 Nov →
nuke8–80.1527%8 Nov →
rooftop9–40.1016%8 Nov →
inferno16–13-0.0216%7 Nov →
dust213–40.0321%7 Nov →
ancient13–90.0816%3 Nov →
inferno7–13-0.0214%29 Oct →
inferno5–13-0.0725%23 Oct →
palacio13–40.0823%12 Oct →
overpass9–13-0.0228%13 Sept →
anubis5–13-0.0415%28 Jun →
mirage2–13-0.0314%21 Jun →
vertigo3–9-0.1321%21 Jun →
inferno9–6-0.026%21 Jun →
nuke8–80.0920%21 Jun →
inferno7–9-0.0914%21 Jun →
anubis10–130.0213%17 Jun →
dust213–90.0113%17 Jun →
train13–100.0216%8 Jun →
train13–80.0218%1 Jun →
inferno19–170.1325%1 Jun →
ancient13–16-0.0110%28 May →
inferno13–160.0415%23 May →
anubis16–140.0114%21 May →
dust213–10-0.0217%16 May →
dust210–13-0.0124%7 May →
anubis9–130.0313%2 May →
anubis1–13-0.0615%25 Apr →
anubis13–90.0622%23 Apr →
anubis13–60.0315%18 Apr →
ancient13–4-0.017%11 Apr →
ancient10–13-0.0110%9 Apr →
inferno13–50.0513%31 Mar →
inferno13–90.0719%31 Mar →
ancient13–100.038%31 Mar →
anubis18–220.0619%28 Mar →
dust27–130.0231%28 Mar →
anubis13–110.0322%25 Mar →
anubis8–13-0.0116%20 Mar →
dust212–12-0.0018%18 Mar →
ancient13–11-0.0214%18 Mar →
office12–120.0919%17 Mar →
mirage13–100.1317%17 Mar →
dust212–120.1019%17 Mar →
nuke13–110.1413%17 Mar →

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 →

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