INGODWEBUST

INGODWEBUST — CS2 Stats

76561198089539774[U:1:129274046]Steam profile ↗✓ No bans

2,155Tracked matches60%Win rate2023Tracked since
1,303Hours in CS
CSDB Rating7.2 StrongPositional Player
Premier CS Rating20,370Top 50% of 205,416 CSDB-tracked playersPink band · top ~8.1% of ranked players (population est.)
CSDB Leaderboard#75985 of 252532 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 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: 20,370 +1,552 6 Sept – 15 Oct · 26 days played
17,27520,370peak 20,3706 Sept15 Oct
20,524Peak Premier in tracked matches
26Days played since 2026-09-06

Premier CS Rating

  • At peak — 20,370
  • +2,560 over 30 days · improving
  • Next: Red band at 25,000 — 4,630 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

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
Matches102——
Win rate49%——
K/D1.04——
Headshot %51%——

Measured 13 Sep 2026 → 17 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 5 among CSDB-tracked players (n=13,934), 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 5 medianLevel 6 medianvs Level 6
Headshot rate52.4%43.7%44.8%above
Shot accuracy0.3%12.0%12.4%12.2% short
Kill/death ratio1.151.021.03above
Match win rate40.7%44.7%45.2%4.5% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGINGODWEBUSTFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER20,370 · Pink bandcsdb.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

Aim72
Positioning70
Utility67

0–100 skill scores via Leetify.

Recent form

HOT55–43–2Last 10055%Win rateWLWWWWWWWW

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · −0.6pp headshot accuracy · −20ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 530ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 525ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 535ms

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 against its own average).

Aim7.2
Utility6.7
Positioning7.0
Opening Duels5.6
Clutch4.8

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 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 554ms 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

Aim7.2
Positioning7.0
Utility6.7
Mechanics6.3
Opening Duels7.5
Win Impact8.3

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time540ms−8ms
first ⅓ avg 548ms → last ⅓ avg 540ms
Headshot accuracy16.1%+1.7%
first ⅓ avg 14.5% → last ⅓ avg 16.1%

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.

Personal bests

0.10Best match rating · 6–13 · dust2, 27 Sept →
31%Best headshot accuracy · 13–10 · cache, 4 Oct →
375msFastest reaction time · 13–4 · mirage, 8 Oct →
13–1Biggest win · cache, 10 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–8In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 76% over 21infernoWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%0.00
ancientS2116–576%0.01
cacheA138–562%0.01
nukeB136–746%-0.01
mirageB126–650%0.01
infernoC94–544%-0.02
anubis—42–250%0.00
office—21–150%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,299Lifetime kills
1.15K/D · Top 25% of Level 5 players
2,696Matches
40.7%Match win rate
52.4%Headshot % · Top 25% of Level 5 players
0.3%Shot accuracy
5,883MVPs
1,303Hours (in match)
2,008Bombs planted
968Bombs defused

Most-used weapons

Lifetime map wins

4,232dust2
3,492nuke
2,969inferno
1,439vertigo
566train
356office
41ar_baggage
32ar_shoots

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

Faceit stats

Combat

64Matches
55%Win rate
1.17Avg K/D
85.5ADR
41%Headshot %

Clutches & streaks

44%1v1 clutch win
19%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1533%1.2520.4
Mirage1250%0.9415.8
Nuke1080%1.1117.2
Dust2786%1.2014.7
Cache757%1.3519.6
Anubis520%1.0816.8
Inferno450%1.7519.3
Overpass367%0.8013.7

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.

16.1%Headshot accuracy
36.1%Accuracy (enemy spotted)
37.3%Spray accuracy
78.5%Counter-strafing
9.7°Preaim
554msReaction time
63.8%T opening success
56.1%CT opening success
0.58Enemies flashed / flash
8.6%Flash assists
9.37HE damage / grenade
12.55Flashes / match

Recommended for you

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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–9-0.0611%15 Oct →
dust29–13-0.0613%15 Oct →
dust216–130.0323%12 Oct →
cache13–100.0418%11 Oct →
mirage13–90.0320%11 Oct →
cache13–80.0720%11 Oct →
ancient13–11-0.0113%11 Oct →
ancient13–30.0919%10 Oct →
dust213–40.039%10 Oct →
cache13–10.078%10 Oct →
dust213–16-0.0319%10 Oct →
office13–11-0.0816%10 Oct →
ancient13–90.0013%10 Oct →
ancient13–50.0121%10 Oct →
cache10–130.0112%8 Oct →
mirage13–40.0414%8 Oct →
dust27–13-0.0017%7 Oct →
mirage11–130.0013%7 Oct →
nuke3–13-0.0221%7 Oct →
nuke13–11-0.0715%6 Oct →
cache16–13-0.0117%5 Oct →
nuke11–13-0.0416%5 Oct →
mirage8–13-0.0225%5 Oct →
mirage13–100.0814%4 Oct →
ancient10–13-0.0015%4 Oct →
mirage10–130.0119%4 Oct →
ancient9–130.0213%4 Oct →
cache13–100.0531%4 Oct →
ancient13–8-0.015%4 Oct →
anubis11–130.0310%2 Oct →
ancient13–8-0.0016%1 Oct →
nuke4–13-0.0323%1 Oct →
cache10–130.0214%30 Sept →
cache8–13-0.057%30 Sept →
inferno13–16-0.0212%30 Sept →
dust213–11-0.0315%30 Sept →
mirage13–80.0516%30 Sept →
nuke5–13-0.039%29 Sept →
nuke13–90.0516%29 Sept →
ancient3–13-0.059%29 Sept →
dust26–130.1030%27 Sept →
cache13–40.0222%27 Sept →
dust23–13-0.0222%26 Sept →
office6–130.0118%26 Sept →
mirage13–9-0.0123%26 Sept →
anubis13–70.0317%26 Sept →
ancient13–80.019%26 Sept →
dust213–6-0.0614%26 Sept →
ancient13–80.0013%26 Sept →
dust23–130.0119%25 Sept →
nuke13–70.0710%25 Sept →
cache5–13-0.0720%25 Sept →
ancient13–60.0210%25 Sept →
ancient13–60.0515%25 Sept →
cache13–5-0.076%24 Sept →
ancient13–110.0211%24 Sept →
inferno4–13-0.0525%23 Sept →
nuke14–16-0.0220%23 Sept →
inferno11–130.0112%19 Sept →
dust27–13-0.0119%19 Sept →
inferno16–130.0017%19 Sept →
dust22–13-0.0216%18 Sept →
ancient6–13-0.0313%18 Sept →
dust213–20.0529%18 Sept →
dust213–4-0.0020%18 Sept →
mirage13–90.0313%18 Sept →
dust216–14-0.0011%18 Sept →
dust216–130.0716%17 Sept →
ancient13–50.019%17 Sept →
nuke16–120.0222%17 Sept →
mirage4–13-0.0613%16 Sept →
dust22–11-0.0620%16 Sept →
dust213–70.0216%16 Sept →
dust29–13-0.0012%13 Sept →
dust211–130.0415%13 Sept →
dust213–30.0624%13 Sept →
dust29–13-0.0310%13 Sept →
inferno5–13-0.0619%13 Sept →
nuke13–110.009%13 Sept →
anubis6–13-0.019%13 Sept →
dust211–13-0.008%13 Sept →
dust216–13-0.0319%13 Sept →
mirage5–13-0.0414%13 Sept →
inferno13–11-0.0310%10 Sept →
nuke13–70.0411%10 Sept →
nuke15–15-0.0323%7 Sept →
inferno4–13-0.076%7 Sept →
dust24–13-0.0611%7 Sept →
dust213–40.0119%7 Sept →
inferno13–10.0221%7 Sept →
ancient13–60.0821%7 Sept →
nuke11–13-0.0013%7 Sept →
anubis13–2-0.0313%7 Sept →
mirage9–13-0.0111%7 Sept →
ancient16–120.0010%7 Sept →
ancient15–150.039%7 Sept →
ancient6–20.0416%7 Sept →
inferno13–90.0320%7 Sept →
cache13–160.0510%6 Sept →
cache13–50.0418%6 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 →

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