Big Boi Korin

Big Boi Korin — CS2 Stats

US76561198097545309[U:1:137279581]Steam profile ↗✓ No bans

1,860Tracked matches50%Win rate2023Tracked since
1,697Hours in CS4Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating12,410Blue band · top ~42.1% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (2 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: 12,410 -1,687 16 Aug – 5 Nov · 19 days played
11,54914,727peak 14,72716 Aug5 Nov
14,727Peak Premier in tracked matches
27Days played since 2026-08-16

Premier CS Rating

  • 2,317 below peak (14,727)
  • +621 over 30 days · improving
  • -1,687 over 90 days
  • Next: Purple band at 15,000 — 2,590 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-10-03
  • Light Blue band first seen 2026-10-03

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches84+4
Win rate63%0%+63pp
K/D1.060.65+0.41
Headshot %46%46%−0pp

Measured 3 Oct 2026 → 7 Nov 2026; previous 7 Sep 2026 → 3 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.0%42.0%44.4%3.4% short
Shot accuracy0.8%9.6%11.9%11.1% short
Kill/death ratio0.830.981.030.20 short
Match win rate44.3%43.8%45.2%1.0% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBig Boi KorinPREMIER12,410 · Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning55
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY44–47–9Last 10044%Win rateWLLWWWTLLL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · −2.0pp headshot accuracy · −7ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 567ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 585ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 589ms

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: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim7.3
Utility3.4
Positioning5.5
Opening Duels1.0
Clutch2.6

Limited utility dependence

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 89% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 608ms 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

Aim7.3
Positioning5.5
Utility3.4
Mechanics7.6
Opening Duels1.0
Win Impact5.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time616ms−3ms
first ⅓ avg 619ms → last ⅓ avg 616ms
Headshot accuracy14.9%−2.8%
first ⅓ avg 17.7% → last ⅓ avg 14.9%

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

0.14Best match rating · 13–5 · mirage, 16 Aug →
42%Best headshot accuracy · 4–13 · dust2, 19 Aug →
469msFastest reaction time · 13–4 · office, 19 Aug →
13–2Biggest win · inferno, 21 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 71% over 7dust2Weakest map · 11% over 18
MapGradePlayedRecordWin rateAvg rating
dust2D182–1611%-0.03
ancientD155–1033%-0.03
mirageA159–660%0.00
anubisB126–650%0.02
nukeB126–650%-0.01
infernoA116–555%0.01
cacheS75–271%0.03
train—31–233%-0.02
overpass—22–0100%0.06
office—21–150%0.05
vertigo—20–20%-0.01
boulder—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,167Lifetime kills
0.83K/D
2,582Matches
44.3%Match win rate · Top 50% of Blue band
41.0%Headshot %
0.8%Shot accuracy
4,198MVPs
935Hours (in match)
4,129Bombs planted
508Bombs defused

Most-used weapons

Lifetime map wins

4,178inferno
4,016nuke
3,848dust2
1,175vertigo
542train
405office
19italy
10ar_shoots

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

Faceit stats

Combat

26Matches
31%Win rate
0.80Avg K/D
62.1ADR
39%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno729%0.6011.4
Overpass560%0.7513.4
Mirage40%0.6611.5
Ancient425%0.6310.3
Nuke367%1.7514.0
Dust220%0.9715.5
Vertigo10%0.406.0

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.

15.4%Headshot accuracy
36.3%Accuracy (enemy spotted)
36.8%Spray accuracy
84.1%Counter-strafing
8.9°Preaim
608msReaction time
28.9%T opening success
38.0%CT opening success
0.38Enemies flashed / flash
7.7%Flash assists
9.30HE damage / grenade
1.00Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3796 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 28.8596% — below the 40% mark we flag

Spend your practice time on Dust 2

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

11% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–110.0111%5 Nov →
nuke9–130.0916%30 Oct →
nuke10–13-0.0212%25 Oct →
overpass13–110.0714%25 Oct →
inferno13–30.0221%24 Oct →
nuke13–110.0111%24 Oct →
inferno12–12-0.0719%18 Oct →
ancient8–13-0.0315%24 Sept →
nuke5–13-0.037%12 Sept →
anubis7–130.0118%12 Sept →
ancient1–13-0.1114%12 Sept →
inferno6–13-0.075%5 Sept →
nuke13–6-0.0314%5 Sept →
dust214–16-0.0335%5 Sept →
mirage13–10-0.0517%5 Sept →
ancient15–15-0.0116%4 Sept →
anubis13–70.0114%4 Sept →
mirage7–13-0.0415%4 Sept →
anubis13–100.049%3 Sept →
mirage13–9-0.0126%3 Sept →
ancient6–13-0.118%3 Sept →
ancient3–13-0.0412%3 Sept →
nuke11–13-0.0120%2 Sept →
mirage16–140.0213%2 Sept →
ancient13–60.0319%2 Sept →
inferno13–11-0.0112%1 Sept →
mirage13–9-0.049%1 Sept →
anubis5–130.0117%1 Sept →
inferno11–13-0.0321%1 Sept →
cache13–70.0614%1 Sept →
mirage13–8-0.025%31 Aug →
cache13–50.0325%31 Aug →
cache13–40.0211%31 Aug →
dust211–130.0123%30 Aug →
anubis12–12-0.0224%30 Aug →
dust213–10-0.0413%30 Aug →
mirage10–00.0811%30 Aug →
dust28–13-0.0314%30 Aug →
dust26–13-0.077%30 Aug →
nuke13–40.0116%30 Aug →
dust210–13-0.0716%30 Aug →
nuke10–130.017%29 Aug →
nuke10–13-0.026%29 Aug →
anubis15–15-0.0111%29 Aug →
ancient13–60.059%29 Aug →
anubis7–130.0313%29 Aug →
anubis5–13-0.0511%29 Aug →
anubis13–90.1311%29 Aug →
inferno13–70.109%29 Aug →
mirage14–16-0.0611%29 Aug →
ancient6–13-0.0210%29 Aug →
office12–12-0.0022%28 Aug →
mirage9–13-0.0114%27 Aug →
dust29–130.0017%27 Aug →
dust28–13-0.0316%27 Aug →
train2–13-0.0618%26 Aug →
anubis13–80.0514%25 Aug →
ancient9–13-0.0621%25 Aug →
ancient13–80.0414%24 Aug →
nuke13–10-0.0935%24 Aug →
mirage13–10-0.0124%24 Aug →
dust29–13-0.0114%24 Aug →
train4–13-0.067%23 Aug →
overpass13–40.0515%23 Aug →
cache13–6-0.0222%23 Aug →
inferno8–130.0213%23 Aug →
dust211–130.0012%23 Aug →
ancient3–13-0.0811%23 Aug →
dust213–9-0.0014%23 Aug →
mirage7–13-0.0216%21 Aug →
inferno13–20.0914%21 Aug →
nuke13–100.0027%21 Aug →
dust211–13-0.0614%21 Aug →
dust27–130.0125%20 Aug →
anubis13–90.0118%20 Aug →
cache13–100.1118%20 Aug →
vertigo5–130.0221%19 Aug →
boulder13–70.0413%19 Aug →
dust24–13-0.0742%19 Aug →
office13–40.1115%19 Aug →
mirage9–130.0920%19 Aug →
train13–100.0521%19 Aug →
vertigo2–13-0.0418%18 Aug →
mirage9–13-0.0118%18 Aug →
inferno13–5-0.025%18 Aug →
ancient13–11-0.0322%18 Aug →
dust212–12-0.0920%18 Aug →
cache6–13-0.0713%18 Aug →
ancient6–13-0.0516%18 Aug →
dust28–130.0113%17 Aug →
inferno10–13-0.0517%17 Aug →
ancient13–11-0.0412%17 Aug →
inferno13–60.0822%17 Aug →
dust212–12-0.0120%17 Aug →
mirage13–50.1419%16 Aug →
cache12–120.0419%16 Aug →
mirage13–11-0.0320%16 Aug →
dust212–12-0.0413%16 Aug →
ancient9–13-0.0615%16 Aug →
nuke13–10-0.0716%16 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.