boioioing

boioioing — CS2 Stats

DE76561197960348604[U:1:82876]Steam profile ↗✓ No bans

1,539Tracked matches71%Win rate2020Tracked since
2,186Hours in CS15Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

+12Tracked matches · now 1,539
+7.1ppWin rate · 64.3% → 71.4%

Rating over time

Premier CS Rating: 17,590 -3,974 18 Sept – 18 Jan · 3 days played
17,59021,564peak 21,56418 Sept18 Jan
21,867Peak Premier in tracked matches
43Days played since 2025-09-18

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
Matches37——
Win rate65%——
K/D0.93——
Headshot %53%——

Measured 4 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 Level 8 among CSDB-tracked players (n=14,762), 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 8 medianLevel 9 medianvs Level 9
Headshot rate53.3%46.8%48.2%above
Shot accuracy9.6%13.0%13.3%3.6% short
Kill/death ratio1.121.061.07above
Match win rate45.5%46.3%46.9%1.4% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGboioioingFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.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

Aim81
Positioning65
Utility56

0–100 skill scores via Leetify.

Recent form

HOT51–44–5Last 10051%Win rateWLLWWWWWWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +0.4pp headshot accuracy · +0ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 519ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 561ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 561ms

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 (+1.5 against its own average).

Aim8.1
Utility5.6
Positioning6.5
Opening Duels4.2
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

jL

Plays most like jL 95% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success.

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. 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

Aim8.1
Positioning6.5
Utility5.6
Mechanics7.3
Opening Duels5.4
Win Impact10.0

Composite 7.2/10 (Strong), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time575ms−69ms
first ⅓ avg 644ms → last ⅓ avg 575ms
Headshot accuracy20.7%+1.4%
first ⅓ avg 19.3% → last ⅓ avg 20.7%

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

0.37Best match rating · 9–1 · inferno, 18 Jan →
44%Best headshot accuracy · 9–1 · inferno, 28 Jul →
406msFastest reaction time · 16–14 · anubis, 27 Sept →
13–0Biggest win · dust2, 16 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
12–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 78% over 9nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B4422–2250%0.01
ancientA1610–663%-0.01
infernoA116–555%0.03
anubisS97–278%0.01
nukeC83–538%-0.01
mirage—41–325%0.01
cache—31–233%-0.04
vertigo—21–150%-0.02
eldorado—10–10%-0.08
overpass—10–10%-0.04
train—10–10%-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,640Lifetime kills
1.12K/D · Top 50% of Level 8 players
3,439Matches
45.5%Match win rate
53.3%Headshot % · Top 25% of Level 8 players
9.6%Shot accuracy
9,425MVPs
1,465Hours (in match)
4,576Bombs planted
769Bombs defused

Most-used weapons

Lifetime map wins

10,261dust2
4,179inferno
2,714nuke
1,403vertigo
530train
178cbble
101dust
87aztec

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

Faceit stats

Combat

248Matches
55%Win rate
1.04Avg K/D
81.5ADR
52%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust22658%1.0615.9
Ancient2264%1.1017.4
Inferno1963%0.9314.3
Anubis1486%1.0416.9
Mirage1050%0.9216.7
Nuke540%0.9716.6
Cache540%1.3016.0
Train1100%1.2520.0

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.

21.0%Headshot accuracy
34.2%Accuracy (enemy spotted)
38.6%Spray accuracy
82.9%Counter-strafing
7.9°Preaim
568msReaction time
58.0%T opening success
45.2%CT opening success
0.43Enemies flashed / flash
4.7%Flash assists
7.85HE damage / grenade
11.69Flashes / 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 0.4347 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–12-0.0020%1 Oct →
nuke8–13-0.0615%1 Oct →
inferno18–22-0.0514%30 Sept →
dust213–6-0.0130%30 Sept →
dust213–50.0326%30 Sept →
ancient22–180.0115%28 Sept →
dust213–100.0312%28 Sept →
ancient13–11-0.0225%28 Sept →
dust213–60.0430%28 Sept →
dust213–80.0820%28 Sept →
anubis16–140.0624%27 Sept →
dust213–80.0118%27 Sept →
mirage18–220.0524%21 Sept →
ancient13–11-0.0617%21 Sept →
dust213–9-0.0010%21 Sept →
ancient13–70.0517%20 Sept →
ancient7–13-0.0426%20 Sept →
dust213–50.0619%20 Sept →
dust215–15-0.0624%16 Sept →
ancient10–13-0.0626%16 Sept →
dust213–00.0133%16 Sept →
eldorado3–9-0.080%16 Sept →
dust213–11-0.0316%14 Sept →
anubis13–6-0.0222%14 Sept →
dust213–50.0224%14 Sept →
ancient14–160.0126%13 Sept →
dust213–10-0.0123%13 Sept →
dust23–11-0.0125%10 Sept →
dust212–12-0.0124%10 Sept →
dust213–8-0.0315%10 Sept →
dust25–130.0622%10 Sept →
dust25–13-0.0313%8 Sept →
ancient13–100.0327%8 Sept →
anubis13–110.0617%6 Sept →
anubis13–9-0.0525%6 Sept →
dust213–10-0.0226%6 Sept →
nuke13–90.0520%3 Sept →
dust26–130.0432%2 Sept →
anubis13–70.0310%31 Aug →
ancient10–13-0.0619%31 Aug →
cache4–13-0.048%31 Aug →
nuke13–10-0.0620%30 Aug →
anubis13–110.0326%30 Aug →
ancient13–4-0.0310%30 Aug →
dust213–40.0538%27 Aug →
dust25–130.0626%27 Aug →
dust211–130.0315%20 Aug →
dust26–130.0326%13 Aug →
dust213–11-0.0227%12 Aug →
dust211–130.0214%10 Aug →
dust213–90.0430%10 Aug →
inferno13–8-0.0221%30 Jul →
nuke8–130.0528%30 Jul →
inferno4–13-0.0316%28 Jul →
inferno9–10.1344%28 Jul →
dust27–13-0.036%28 Jul →
dust213–110.0929%27 Jul →
inferno7–9-0.1513%27 Jul →
dust212–120.0116%26 Jul →
mirage2–13-0.0529%26 Jul →
dust213–4-0.0212%26 Jul →
dust27–13-0.0429%15 Jul →
dust212–120.0619%14 Jul →
nuke8–13-0.0214%13 May →
cache13–8-0.0224%13 May →
cache8–13-0.0420%29 Apr →
dust210–13-0.0025%12 Apr →
nuke9–40.0216%11 Apr →
dust27–130.0428%11 Apr →
inferno9–70.0515%11 Apr →
dust213–11-0.0214%10 Apr →
dust213–100.0420%29 Mar →
ancient5–13-0.0324%29 Mar →
inferno2–13-0.0514%29 Mar →
mirage11–130.0122%5 Mar →
dust26–13-0.0424%5 Mar →
dust213–90.0726%5 Mar →
inferno13–110.0217%5 Mar →
ancient13–3-0.0212%1 Mar →
inferno3–50.0514%1 Mar →
dust29–13-0.0717%1 Mar →
inferno13–60.0422%9 Feb →
anubis0–130.0114%9 Feb →
anubis7–13-0.0418%8 Feb →
mirage13–30.0118%8 Feb →
ancient13–2-0.0317%8 Feb →
overpass3–13-0.0418%20 Jan →
vertigo13–11-0.0323%20 Jan →
ancient13–9-0.0122%18 Jan →
vertigo7–9-0.0124%18 Jan →
nuke8–8-0.0918%18 Jan →
inferno9–10.3724%18 Jan →
nuke10–13-0.0016%5 Jan →
ancient14–160.0313%5 Jan →
train1–9-0.080%24 Dec →
dust210–130.0627%24 Dec →
ancient13–90.0229%24 Dec →
dust210–130.0621%23 Dec →
dust211–130.0428%18 Sept →
dust210–13-0.0621%18 Sept →

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.