Inx

Inx — CS2 Stats

76561198346308147[U:1:386042419]Steam profile ↗✓ No bans

1,806Tracked matches45%Win rate2020Tracked since
2,266Hours in CS
CSDB Rating4.9 DevelopingSupport
Premier CS Rating15,820Purple band · top ~25.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,806 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,820 -2,474 26 Jul – 28 Sept · 34 days played
14,99918,637peak 18,63726 Jul28 Sept
19,043Peak Premier in tracked matches
31Days played since 2026-07-26

Premier CS Rating

  • 2,817 below peak (18,637)
  • +166 over 30 days · steady
  • Next: Pink band at 20,000 — 4,180 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-07
  • Blue band first seen 2026-09-07

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
Matches7——
Win rate57%——
K/D1.20——
Headshot %67%——

Measured 7 Sep 2026 → 8 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate39.2%44.3%46.9%7.7% short
Shot accuracy14.7%11.9%13.0%above
Kill/death ratio0.771.031.080.31 short
Match win rate45.0%45.2%46.7%1.6% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGInxPREMIER15,820 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning38
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWLWWWLLWTL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +3.0pp headshot accuracy · +61ms reaction

Win rate up 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 25%
  • Avg reaction 681ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 23%
  • Avg reaction 699ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 668ms

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 (+1.9 against its own average).

Aim6.4
Utility4.5
Positioning3.8
Opening Duels2.1
Clutch0.0

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

NiKo

Plays most like NiKo 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

T-side openings. Opening success drops from 41% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 694ms 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

Aim6.4
Positioning3.8
Utility4.5
Mechanics7.1
Opening Duels1.4
Win Impact3.3

Composite 4.9/10 (Developing), 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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time699ms+8ms
first ⅓ avg 691ms → last ⅓ avg 699ms
Headshot accuracy20.8%+1.6%
first ⅓ avg 19.2% → last ⅓ avg 20.8%

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

0.04Best match rating · 13–6 · vertigo, 11 Aug →
36%Best headshot accuracy · 13–2 · inferno, 11 Aug →
492msFastest reaction time · 8–13 · inferno, 1 Sept →
13–0Biggest win · mirage, 27 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 64% over 14anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB3116–1552%-0.03
mirageA2011–955%-0.04
cacheA149–564%-0.04
ancientD103–730%-0.03
dust2B84–450%-0.05
nukeC73–443%-0.04
anubisD61–517%-0.05
vertigo—32–167%-0.00
office—10–10%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,472Lifetime kills
0.77K/D
6,283Matches
45.0%Match win rate
39.2%Headshot %
14.7%Shot accuracy · Top 50% of Purple band
11,410MVPs
2,266Hours (in match)
2,871Bombs planted
630Bombs defused

Most-used weapons

AK-4721,384
MP711,448
AWP6,883
P904,836
SSG 082,209

Lifetime map wins

18,863inferno
7,270dust2
5,146office
3,414nuke
1,126vertigo
868train
396cbble
179lake

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

Faceit stats

Combat

47Matches
60%Win rate
0.85Avg K/D
88.2ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1070%1.0719.2
Dust2743%0.8412.3
Inferno786%0.9215.9
Vertigo2100%1.2221.0
Nuke10%0.8814.0
Anubis10%0.509.0

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.

21.1%Headshot accuracy
34.7%Accuracy (enemy spotted)
34.3%Spray accuracy
81.8%Counter-strafing
9.7°Preaim
694msReaction time
25.6%T opening success
41.4%CT opening success
0.37Enemies flashed / flash
2.2%Flash assists
15.01HE damage / grenade
7.07Flashes / 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 0.3654 — 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 25.6264% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–13-0.0627%8 Sept →
inferno1–9-0.139%7 Sept →
inferno16–12-0.0423%7 Sept →
cache13–10-0.0934%4 Sept →
inferno13–40.0231%3 Sept →
inferno5–13-0.0420%3 Sept →
mirage13–16-0.0521%2 Sept →
ancient13–20.0318%2 Sept →
nuke15–15-0.0627%2 Sept →
ancient6–13-0.0524%2 Sept →
office7–13-0.0316%2 Sept →
inferno2–13-0.0629%2 Sept →
dust27–13-0.0330%1 Sept →
mirage13–4-0.0222%1 Sept →
mirage7–13-0.0017%1 Sept →
inferno8–13-0.0425%1 Sept →
cache16–13-0.0212%23 Aug →
ancient9–13-0.0315%23 Aug →
inferno13–100.0318%22 Aug →
anubis10–13-0.1020%22 Aug →
dust21–13-0.050%21 Aug →
dust24–13-0.1015%21 Aug →
dust213–7-0.0628%20 Aug →
inferno6–130.0333%20 Aug →
inferno13–4-0.0333%20 Aug →
cache9–13-0.088%20 Aug →
dust213–7-0.0617%20 Aug →
mirage8–13-0.0524%19 Aug →
nuke13–8-0.0215%19 Aug →
dust213–30.0226%19 Aug →
ancient7–13-0.073%19 Aug →
cache10–13-0.0020%17 Aug →
nuke7–13-0.0228%17 Aug →
inferno13–4-0.0611%17 Aug →
mirage13–11-0.0419%17 Aug →
ancient1–13-0.0720%17 Aug →
cache13–11-0.0223%17 Aug →
cache13–11-0.0827%16 Aug →
ancient3–13-0.0116%16 Aug →
anubis14–16-0.0719%16 Aug →
inferno15–15-0.0420%15 Aug →
ancient6–13-0.0516%15 Aug →
inferno13–80.0229%15 Aug →
mirage13–8-0.0619%15 Aug →
inferno1–13-0.1133%15 Aug →
inferno13–7-0.0322%15 Aug →
mirage7–13-0.1019%15 Aug →
mirage4–13-0.0414%15 Aug →
mirage14–16-0.0018%14 Aug →
mirage7–130.0223%14 Aug →
dust211–13-0.0821%14 Aug →
anubis5–13-0.0818%13 Aug →
mirage13–5-0.0613%13 Aug →
inferno8–13-0.0417%13 Aug →
inferno13–80.0119%12 Aug →
cache13–6-0.0418%12 Aug →
inferno13–90.0025%12 Aug →
inferno7–13-0.0018%11 Aug →
inferno13–20.0036%11 Aug →
vertigo13–60.0416%11 Aug →
nuke3–13-0.0810%10 Aug →
cache13–10-0.0511%10 Aug →
nuke13–4-0.0215%10 Aug →
mirage13–60.0015%10 Aug →
nuke13–7-0.0315%10 Aug →
ancient3–13-0.0510%10 Aug →
mirage13–6-0.0313%9 Aug →
mirage13–10-0.0214%7 Aug →
cache11–13-0.0117%7 Aug →
mirage13–5-0.0610%7 Aug →
anubis13–8-0.0431%6 Aug →
inferno13–40.0318%6 Aug →
ancient13–7-0.0122%6 Aug →
anubis9–13-0.0323%5 Aug →
anubis8–13-0.0026%4 Aug →
mirage9–13-0.0622%4 Aug →
nuke9–13-0.0024%4 Aug →
inferno13–4-0.0022%4 Aug →
cache13–9-0.0519%3 Aug →
dust213–10-0.0810%3 Aug →
inferno7–13-0.0523%2 Aug →
inferno11–13-0.0119%1 Aug →
inferno13–11-0.0817%1 Aug →
cache7–13-0.0222%1 Aug →
mirage7–13-0.0420%1 Aug →
mirage13–11-0.0516%30 Jul →
inferno10–13-0.0518%30 Jul →
vertigo13–40.0024%30 Jul →
vertigo11–13-0.0418%30 Jul →
cache14–16-0.0330%28 Jul →
inferno9–13-0.0620%27 Jul →
inferno7–13-0.0024%27 Jul →
cache13–100.0014%27 Jul →
mirage13–00.000%27 Jul →
inferno8–13-0.0332%26 Jul →
cache13–10-0.0320%26 Jul →
inferno16–13-0.0311%26 Jul →
ancient13–6-0.0211%26 Jul →
inferno13–7-0.0425%26 Jul →
mirage13–11-0.0914%26 Jul →

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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