Instii

Instii — CS2 Stats

76561198207353748[U:1:247088020]Steam profile ↗✓ No bans

4,243Tracked matches37%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
CSDB Leaderboard#26096 of 259550 tracked
FaceitLevel 10 · 2,431 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,693 -1,290 17 Jun – 29 Sept · 13 days played
24,69326,507peak 26,50717 Jun29 Sept
Faceit ELO: 2,431 +0 29 Aug – 20 Sept · 4 observations
2,4312,431peak 2,43129 Aug20 Sept
26,507Peak Premier in tracked matches
2,431Highest Faceit ELO seen on CSDB
41Days played since 2026-05-19

Faceit ELO

  • At peak — 2,431
  • Next: 2,500 ELO at 2,500 — 69 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-29
  • Level 9 first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGInstiiFACEITLevel 10 · 2,431 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,431csdb.gg/stats

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Performance scores

Aim80
Positioning57
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLWWWLLWWLW

Last 10 vs previous 10: +30pp win rate · −0.03 avg rating · −8.2pp headshot accuracy · −6ms reaction

Win rate up 30pp 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 538ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 521ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 524ms

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 (+2.1 against its own average).

Aim8.0
Utility6.7
Positioning5.7
Opening Duels2.5
Clutch3.4

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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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 →

CSDB Rating breakdown

Aim8.0
Positioning5.7
Utility6.7
Mechanics6.4
Opening Duels3.2
Win Impact0.6

Composite 5.9/10 (Solid), 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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time535ms−41ms
first ⅓ avg 576ms → last ⅓ avg 535ms
Headshot accuracy16.2%−1.7%
first ⅓ avg 17.9% → last ⅓ avg 16.2%

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

0.11Best match rating · 13–7 · anubis, 25 Jul →
52%Best headshot accuracy · 13–5 · inferno, 1 Aug →
406msFastest reaction time · 8–13 · inferno, 27 Sept →
13–1Biggest win · anubis, 17 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
6–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 62% over 29nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA2918–1162%0.01
anubisB147–750%0.02
ancientB136–746%-0.01
mirageB126–650%-0.02
dust2D113–827%0.01
cacheD103–730%0.01
nukeD92–722%-0.00
overpass—21–150%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,863Matches
51%Win rate
1.10Avg K/D
81.7ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient30049%1.0915.6
Inferno25261%1.1717.0
Anubis20947%1.0615.5
Dust219949%1.0215.5
Overpass9050%1.1115.2
Mirage8241%0.9815.2
Nuke7845%1.0815.9
Train3757%1.1615.5

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.

15.4%Headshot accuracy
38.7%Accuracy (enemy spotted)
44.3%Spray accuracy
78.9%Counter-strafing
9.8°Preaim
536msReaction time
42.9%T opening success
43.1%CT opening success
0.63Enemies flashed / flash
6.6%Flash assists
13.25HE damage / grenade
9.06Flashes / match

Recommended for you

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage15–19-0.0215%27 Oct →
anubis13–6-0.005%27 Oct →
cache13–110.018%27 Oct →
nuke13–8-0.0516%25 Oct →
mirage2–13-0.116%25 Oct →
inferno9–13-0.0511%25 Oct →
inferno13–9-0.0517%23 Oct →
inferno13–11-0.0113%23 Oct →
anubis11–13-0.049%23 Oct →
mirage13–40.0534%23 Oct →
inferno11–13-0.0512%22 Oct →
dust29–130.0933%22 Oct →
anubis12–160.0212%22 Oct →
inferno9–13-0.0436%21 Oct →
nuke3–130.0141%21 Oct →
mirage13–30.0520%21 Oct →
nuke7–130.0220%13 Oct →
mirage13–90.0210%7 Oct →
mirage14–16-0.059%7 Oct →
ancient13–8-0.0223%6 Oct →
cache5–13-0.0313%6 Oct →
mirage8–13-0.0513%6 Oct →
cache9–130.0614%29 Sept →
cache8–13-0.008%29 Sept →
ancient6–130.0817%29 Sept →
ancient6–13-0.053%27 Sept →
inferno13–70.0324%27 Sept →
anubis7–13-0.0215%27 Sept →
cache13–16-0.025%27 Sept →
mirage13–8-0.0316%27 Sept →
inferno8–130.0415%27 Sept →
mirage13–50.0420%27 Sept →
inferno13–80.0820%27 Sept →
inferno9–130.0017%24 Sept →
cache4–13-0.0820%24 Sept →
inferno13–100.0120%6 Sept →
ancient8–13-0.0036%2 Aug →
anubis13–90.0330%2 Aug →
inferno13–50.0352%1 Aug →
ancient13–30.0225%1 Aug →
anubis13–110.0524%1 Aug →
nuke16–140.0016%30 Jul →
ancient13–9-0.0317%30 Jul →
inferno13–60.0418%30 Jul →
ancient13–80.0422%25 Jul →
cache13–100.0827%25 Jul →
anubis11–13-0.0318%25 Jul →
inferno13–50.0619%25 Jul →
anubis13–70.1118%25 Jul →
mirage7–13-0.0518%25 Jul →
cache9–130.0521%19 Jul →
inferno13–90.0924%19 Jul →
cache8–10.0216%19 Jul →
nuke4–13-0.0220%19 Jul →
dust213–90.0017%9 Jul →
cache6–13-0.0118%9 Jul →
inferno13–60.0840%9 Jul →
dust213–60.0222%4 Jul →
ancient2–13-0.0513%3 Jul →
inferno13–70.0319%2 Jul →
inferno7–13-0.0016%2 Jul →
anubis11–130.0120%1 Jul →
nuke5–13-0.0317%30 Jun →
overpass11–13-0.0123%30 Jun →
mirage13–4-0.0118%30 Jun →
inferno13–70.0614%30 Jun →
inferno19–170.0316%30 Jun →
ancient13–40.0922%30 Jun →
anubis13–100.0116%30 Jun →
dust26–13-0.0732%30 Jun →
dust28–13-0.0024%29 Jun →
inferno13–11-0.0323%29 Jun →
ancient11–13-0.0420%29 Jun →
dust27–130.1039%28 Jun →
inferno17–19-0.0010%28 Jun →
inferno15–150.0913%27 Jun →
nuke6–130.0220%27 Jun →
dust28–13-0.089%25 Jun →
nuke5–130.0823%23 Jun →
inferno15–15-0.0026%21 Jun →
ancient7–13-0.0623%20 Jun →
dust213–70.0511%17 Jun →
anubis13–10.0615%17 Jun →
overpass13–80.0416%14 Jun →
inferno13–60.0429%14 Jun →
nuke8–13-0.0611%8 Jun →
inferno13–100.0212%8 Jun →
inferno6–13-0.0618%6 Jun →
ancient9–13-0.069%6 Jun →
anubis12–16-0.0410%4 Jun →
dust28–13-0.0118%28 May →
anubis6–13-0.0617%27 May →
dust211–13-0.0320%25 May →
dust28–130.0114%25 May →
anubis13–40.1023%22 May →
mirage6–13-0.0513%22 May →
ancient13–6-0.0010%21 May →
inferno13–80.0315%19 May →
inferno13–7-0.0614%19 May →
inferno4–13-0.0215%19 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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