Inst1nctz

Inst1nctz — CS2 Stats

SG76561198995485553[U:1:1035219825]Steam profile ↗✓ No bans

2,196Tracked matches67%Win rate2020Tracked since
2,167Hours in CS
CSDB Rating7.4 StrongPositional Player
Premier CS Rating22,468Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#51200 of 261517 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Aug 2026 (101 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: 22,468 -367 6 Mar – 5 Aug · 21 days played
20,60324,950peak 24,9506 Mar5 Aug
24,950Peak Premier in tracked matches
51Days played since 2026-02-27

Premier CS Rating

  • 2,482 below peak (24,950)
  • -1,472 over 90 days
  • Next: Red band at 25,000 — 2,532 to go
  • Reached: Pink band · Purple band · 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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate54.7%48.2%50.9%above
Shot accuracy13.8%13.2%13.7%meets
Kill/death ratio1.231.071.09above
Match win rate38.9%46.9%48.4%9.5% short

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGInst1nctzFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER22,468 · 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

Aim87
Positioning63
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateLLWWWLWWWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −4.8pp headshot accuracy · −54ms reaction

Win rate 0pp 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 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 610ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 569ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 596ms

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 (+1.4 against its own average).

Aim8.7
Utility5.0
Positioning6.3
Opening Duels5.1
Clutch3.2

Sharp aimer

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

donk

Plays most like donk 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

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. 586ms 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

Aim8.7
Positioning6.3
Utility5.0
Mechanics7.7
Opening Duels5.0
Win Impact10.0

Composite 7.4/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time593ms−31ms
first ⅓ avg 625ms → last ⅓ avg 593ms
Headshot accuracy23.5%−1.9%
first ⅓ avg 25.5% → last ⅓ avg 23.5%

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

0.18Best match rating · 13–1 · dust2, 20 Mar →
43%Best headshot accuracy · 12–12 · dust2, 28 Feb →
430msFastest reaction time · 10–13 · dust2, 31 Jul →
13–1Biggest win · mirage, 20 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 67% over 9ancientWeakest map · 40% over 30
MapGradePlayedRecordWin rateAvg rating
dust2A4327–1663%0.02
ancientC3012–1840%0.02
anubisA116–555%0.02
mirageS96–367%0.03
nuke—31–233%-0.02
cache—32–167%0.06
inferno—11–0100%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 30). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

148,787Lifetime kills
1.23K/D · Top 25% of Level 9 players
5,981Matches
38.9%Match win rate
54.7%Headshot % · Top 25% of Level 9 players
13.8%Shot accuracy · Top 50% of Level 9 players
14,548MVPs
2,167Hours (in match)
6,429Bombs planted
1,131Bombs defused

Most-used weapons

AK-4765,815
AWP13,826
FAMAS3,288
MP92,553
MAC-101,930

Lifetime map wins

18,909dust2
3,868inferno
2,450nuke
787vertigo
638train
58office
25sugarcane
22safehouse

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

Faceit stats

Combat

1,055Matches
52%Win rate
1.21Avg K/D
91.3ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
32%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient8462%1.3718.5
Anubis7253%1.1717.3
Mirage3238%1.0916.4
Dust22857%1.1617.2
Inferno2143%1.1517.8
Overpass1729%1.0415.4
Nuke1464%1.2120.1
Vertigo1164%1.1816.7

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.

23.3%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.7%Spray accuracy
84.7%Counter-strafing
7.4°Preaim
586msReaction time
46.2%T opening success
53.8%CT opening success
0.66Enemies flashed / flash
3.9%Flash assists
8.24HE damage / grenade
7.35Flashes / match

Recommended for you

Spend your practice time on Ancient

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

40% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis2–110.0425%7 Aug →
dust28–13-0.0616%6 Aug →
dust213–70.0522%6 Aug →
dust213–50.0429%6 Aug →
dust213–10-0.0016%5 Aug →
dust210–130.0723%31 Jul →
dust213–60.0129%30 Jul →
anubis13–90.0325%29 Jul →
mirage13–50.0727%28 Jul →
ancient8–13-0.0113%28 Jul →
dust211–130.0024%26 Jul →
mirage13–30.0228%26 Jul →
dust29–130.0222%25 Jul →
dust27–13-0.0521%24 Jul →
ancient8–13-0.0426%24 Jul →
ancient16–140.0329%22 Jul →
dust213–110.0133%22 Jul →
mirage13–1-0.0138%20 Jul →
anubis13–50.1025%19 Jul →
dust213–9-0.0129%19 Jul →
mirage6–130.0417%19 Jul →
dust213–11-0.0123%18 Jul →
dust213–70.0124%16 Jul →
ancient13–10-0.0325%15 Jul →
dust213–4-0.0120%14 Jul →
inferno13–50.0616%14 Jul →
dust210–130.0218%14 Jul →
ancient13–11-0.0013%14 Jul →
dust213–110.0623%14 Jul →
dust213–90.0623%14 Jul →
ancient13–20.0321%13 Jul →
ancient7–13-0.0120%12 Jul →
dust25–13-0.0432%11 Jul →
ancient7–13-0.0424%11 Jul →
nuke10–13-0.0613%31 May →
mirage5–130.0222%30 May →
anubis13–40.0423%30 May →
cache13–4-0.0111%29 May →
mirage13–90.0616%23 May →
cache13–40.1017%23 May →
ancient12–120.0118%23 May →
dust26–13-0.0622%22 May →
anubis13–60.0221%22 May →
dust215–150.0339%18 May →
ancient13–50.0333%18 May →
ancient13–30.0830%18 May →
anubis4–13-0.0128%17 May →
anubis12–160.0320%16 May →
ancient7–130.0022%16 May →
ancient15–150.0628%16 May →
dust213–6-0.0323%16 May →
dust210–130.0329%16 May →
dust23–13-0.0721%16 May →
dust213–100.0829%16 May →
ancient9–130.0927%14 May →
cache7–130.0826%14 May →
ancient5–130.0335%1 May →
anubis7–13-0.0216%28 Apr →
ancient13–80.0230%27 Apr →
dust213–90.0733%26 Apr →
ancient10–13-0.0027%16 Apr →
dust29–130.0726%14 Apr →
ancient13–9-0.0124%12 Apr →
ancient6–130.0427%12 Apr →
mirage5–13-0.0429%12 Apr →
dust213–70.0119%12 Apr →
anubis11–130.0428%11 Apr →
ancient13–4-0.0711%9 Apr →
dust213–7-0.0227%9 Apr →
nuke3–13-0.0228%7 Apr →
ancient0–130.0018%7 Apr →
ancient5–130.0417%2 Apr →
ancient8–13-0.0033%2 Apr →
dust213–10-0.0029%28 Mar →
dust213–11-0.0038%28 Mar →
mirage13–100.0421%28 Mar →
dust26–130.0533%28 Mar →
dust213–7-0.0012%26 Mar →
dust211–4-0.0211%24 Mar →
ancient13–60.0324%24 Mar →
dust213–70.0530%24 Mar →
dust213–10.1028%24 Mar →
ancient11–130.0223%21 Mar →
nuke13–100.0130%20 Mar →
dust213–20.0237%20 Mar →
dust213–10.1819%20 Mar →
dust213–160.0929%16 Mar →
ancient13–60.0929%16 Mar →
dust213–50.0227%15 Mar →
mirage13–80.0916%15 Mar →
dust213–60.0627%15 Mar →
ancient12–120.0331%7 Mar →
anubis13–60.0113%7 Mar →
ancient15–150.0125%6 Mar →
anubis13–8-0.0018%6 Mar →
dust213–80.0633%6 Mar →
ancient9–130.0218%6 Mar →
dust28–13-0.0435%28 Feb →
dust212–120.0443%28 Feb →
ancient13–90.0229%27 Feb →

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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