INHO

INHO — CS2 Stats

IE76561197977360131[U:1:17094403]Steam profile ↗✓ No bans

643Tracked matches53%Win rate2020Tracked since
587Hours in CS
CSDB Rating3.7 LearningClutch Specialist
Premier CS Rating9,664Light Blue band · top ~56.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 May 2026 (140 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: 9,664 -2,153 7 Mar – 16 May · 23 days played
9,43212,096peak 12,0967 Mar16 May
12,096Peak Premier in tracked matches
38Days played since 2025-12-19

Premier CS Rating

  • 2,432 below peak (12,096)
  • -1,241 over 30 days · declining
  • Next: Blue band at 10,000 — 336 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,051), 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 3 medianLevel 4 medianvs Level 4
Headshot rate58.1%41.8%42.7%above
Shot accuracy10.1%12.2%11.3%1.2% short
Kill/death ratio0.900.980.990.09 short
Match win rate42.6%43.3%43.9%1.3% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGINHOFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER9,664 · Light Blue 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

Aim31
Positioning42
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateWLWLLLLLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.4pp headshot accuracy · +50ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 677ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 745ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 720ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.3 against its own average).

Aim3.1
Utility5.8
Positioning4.2
Opening Duels1.7
Clutch7.0

Reliable in 1v1s

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

NiKo

Plays most like NiKo 62% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 707ms 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

Aim3.1
Positioning4.2
Utility5.8
Mechanics4.9
Opening Duels1.2
Win Impact6.1

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time706ms+34ms
first ⅓ avg 672ms → last ⅓ avg 706ms
Headshot accuracy19.2%−3.8%
first ⅓ avg 23.0% → last ⅓ avg 19.2%

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

0.09Best match rating · 13–2 · nuke, 24 Feb →
38%Best headshot accuracy · 3–13 · inferno, 24 Apr →
477msFastest reaction time · 7–13 · anubis, 11 May →
13–1Biggest win · dust2, 21 Dec →

Across the last 100 tracked matches.

Highlights

6Longest win streak
13–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 58% over 52anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A5230–2258%-0.02
nukeC146–843%-0.02
ancientC135–838%-0.04
mirageA74–357%-0.02
infernoC52–340%-0.05
anubisD50–50%-0.03
overpass—41–325%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,536Lifetime kills
0.90K/D
1,496Matches
42.6%Match win rate
58.1%Headshot % · Top 5% of Level 3 players
10.1%Shot accuracy
2,770MVPs
587Hours (in match)
1,631Bombs planted
227Bombs defused

Most-used weapons

Lifetime map wins

12,819dust2
656nuke
408inferno
126train
66vertigo
50office
18safehouse
8assault

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

Faceit stats

Combat

35Matches
57%Win rate
1.00Avg K/D
73.0ADR
52%Headshot %

Clutches & streaks

55%1v1 clutch win
31%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis540%0.8414.6
Inferno560%0.9010.8
Dust25100%1.1415.6
Mirage367%0.8917.7
Nuke2100%1.2217.5
Ancient250%0.569.5

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.

18.9%Headshot accuracy
27.4%Accuracy (enemy spotted)
27.0%Spray accuracy
72.2%Counter-strafing
11.1°Preaim
707msReaction time
28.1%T opening success
39.8%CT opening success
0.60Enemies flashed / flash
3.8%Flash assists
9.24HE damage / grenade
9.20Flashes / 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. 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 707.2155ms — above the 700ms mark we flag

    Aim Training →
  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 28.1088% — below the 40% mark we flag

Spend your practice time on Anubis

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–30.0121%16 May →
inferno9–13-0.0521%14 May →
dust213–80.0419%14 May →
dust29–13-0.0119%13 May →
overpass5–13-0.0718%13 May →
nuke7–13-0.069%13 May →
dust210–13-0.0823%13 May →
dust214–16-0.0517%12 May →
dust213–40.0524%11 May →
dust213–11-0.0017%11 May →
nuke13–80.0217%11 May →
anubis7–13-0.0617%11 May →
nuke13–90.0220%11 May →
overpass8–13-0.0211%24 Apr →
dust213–100.0323%24 Apr →
nuke4–130.0313%24 Apr →
inferno3–13-0.0538%24 Apr →
nuke13–11-0.0415%24 Apr →
inferno13–4-0.0513%11 Apr →
mirage13–16-0.0216%11 Apr →
ancient13–10-0.0921%9 Apr →
mirage3–130.0519%9 Apr →
dust213–11-0.0224%7 Apr →
dust213–10-0.0217%7 Apr →
dust213–11-0.0620%7 Apr →
mirage13–3-0.0412%7 Apr →
anubis10–13-0.0528%6 Apr →
dust213–11-0.0717%6 Apr →
dust213–60.0117%28 Mar →
ancient3–13-0.0421%26 Mar →
mirage13–100.0022%26 Mar →
dust212–16-0.0523%22 Mar →
nuke10–13-0.0617%22 Mar →
ancient13–10-0.0411%22 Mar →
inferno13–9-0.0420%22 Mar →
nuke5–13-0.0014%21 Mar →
dust213–11-0.0427%21 Mar →
ancient8–13-0.0516%21 Mar →
dust213–11-0.0126%21 Mar →
nuke11–13-0.0114%20 Mar →
ancient4–13-0.0837%20 Mar →
dust213–80.0022%19 Mar →
dust213–8-0.0118%18 Mar →
dust215–150.0028%18 Mar →
nuke4–13-0.0717%17 Mar →
dust213–20.0327%17 Mar →
mirage5–13-0.1014%17 Mar →
dust213–10-0.0422%16 Mar →
dust213–70.0332%16 Mar →
ancient10–130.0116%15 Mar →
dust213–3-0.0330%15 Mar →
dust213–40.0618%15 Mar →
ancient16–14-0.0324%15 Mar →
mirage13–11-0.0417%14 Mar →
dust213–10-0.0818%14 Mar →
dust213–4-0.0338%14 Mar →
ancient4–13-0.0915%12 Mar →
dust215–15-0.0326%9 Mar →
dust213–10-0.0515%9 Mar →
overpass13–80.0413%9 Mar →
dust26–13-0.0727%9 Mar →
inferno5–13-0.0521%8 Mar →
ancient7–13-0.0416%8 Mar →
dust213–160.0019%8 Mar →
dust29–13-0.0533%8 Mar →
dust23–13-0.0417%7 Mar →
dust28–20.0331%7 Mar →
dust213–20.0526%7 Mar →
anubis5–13-0.0127%4 Mar →
nuke13–20.0222%4 Mar →
ancient16–12-0.0223%3 Mar →
dust213–11-0.0118%3 Mar →
nuke4–13-0.0628%3 Mar →
ancient15–15-0.0128%28 Feb →
nuke13–11-0.0215%28 Feb →
dust213–10-0.0523%28 Feb →
anubis8–130.0236%27 Feb →
dust213–90.0117%27 Feb →
dust211–13-0.0414%24 Feb →
nuke13–20.0921%24 Feb →
dust213–11-0.0023%24 Feb →
dust212–120.0231%10 Feb →
dust213–16-0.0518%2 Feb →
dust21–8-0.0124%2 Feb →
dust29–13-0.0430%2 Feb →
dust22–13-0.0424%2 Feb →
ancient15–15-0.0418%31 Jan →
dust211–13-0.0328%31 Jan →
anubis14–16-0.0315%22 Jan →
nuke8–13-0.0812%22 Jan →
ancient13–80.0317%22 Jan →
overpass12–12-0.0422%20 Jan →
dust26–13-0.0419%28 Dec →
dust29–13-0.0322%28 Dec →
dust213–10.0628%21 Dec →
dust213–9-0.0638%21 Dec →
dust28–130.0521%19 Dec →
dust27–130.0133%19 Dec →
dust27–6-0.0230%19 Dec →
dust26–13-0.0610%19 Dec →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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