Inda

Inda — CS2 Stats

IE76561198086445396[U:1:126179668]Steam profile ↗✓ No bans

685Tracked matches27%Win rate2020Tracked since
CSDB Rating3.5 LearningSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 685
−6.7ppWin rate · 33.3% → 26.7%

Rating over time

Premier CS Rating: 20,000 +104 10 Apr – 29 Jun · 26 days played
19,87723,597peak 23,59710 Apr29 Jun
Faceit ELO: 1,116 +0 7 Sept – 23 Sept · 7 observations
1,1161,116peak 1,1167 Sept23 Sept
23,854Peak Premier in tracked matches
1,116Highest Faceit ELO seen on CSDB
42Days played since 2026-04-10

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.GGIndaFACEITLevel 6STANDINGTop 54.0% of rankedPEAK ELO1,116csdb.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

Aim38
Positioning39
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLLLWWLWLWL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −0.9pp headshot accuracy · −28ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 477ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 549ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 563ms

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).

Aim3.8
Utility5.3
Positioning3.9
Opening Duels0.0
Clutch3.6

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

iM

Plays most like iM 68% 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. 563ms 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

Aim3.8
Positioning3.9
Utility5.3
Mechanics5.0
Opening Duels0.0
Win Impact0.0

Composite 3.5/10 (Learning), 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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time561ms+16ms
first ⅓ avg 545ms → last ⅓ avg 561ms
Headshot accuracy11.2%−3.3%
first ⅓ avg 14.4% → last ⅓ avg 11.2%

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

0.06Best match rating · 13–1 · ancient, 11 Apr →
31%Best headshot accuracy · 5–13 · cache, 1 May →
391msFastest reaction time · 9–13 · mirage, 27 Apr →
13–1Biggest win · overpass, 2 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L3Current streak
16–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 69% over 26cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageS2618–869%-0.03
infernoC2510–1540%-0.03
dust2B2111–1052%-0.03
anubisD82–625%-0.05
overpassA74–357%-0.03
cacheD51–420%-0.03
nuke—40–40%-0.04
ancient—43–175%-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

198Matches
53%Win rate
0.94Avg K/D
77.2ADR
32%Headshot %

Clutches & streaks

38%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust21765%0.7812.1
Mirage1450%1.0613.0
Inferno1258%0.9214.0
Ancient580%1.1222.0
Nuke450%0.7314.0
Overpass475%0.7011.5

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.

10.5%Headshot accuracy
26.9%Accuracy (enemy spotted)
27.8%Spray accuracy
72.7%Counter-strafing
9.6°Preaim
563msReaction time
29.4%T opening success
27.2%CT opening success
0.58Enemies flashed / flash
3.2%Flash assists
9.06HE damage / grenade
8.74Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.5379% — below the 15% 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 29.3638% — below the 40% mark we flag

Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache3–13-0.048%1 Nov →
inferno8–130.028%31 Oct →
inferno11–13-0.116%31 Oct →
mirage13–10-0.098%31 Oct →
dust213–100.0117%27 Sept →
dust29–13-0.0710%24 Jul →
mirage13–2-0.055%24 Jul →
anubis8–13-0.0813%24 Jul →
cache13–11-0.0210%24 Jul →
anubis5–13-0.0615%29 Jun →
inferno2–13-0.0412%29 Jun →
nuke11–13-0.0514%23 Jun →
nuke13–16-0.0014%19 Jun →
mirage10–13-0.0115%19 Jun →
nuke7–13-0.079%18 Jun →
inferno8–13-0.040%18 Jun →
mirage13–80.018%18 Jun →
overpass6–13-0.066%18 Jun →
mirage13–11-0.0210%11 Jun →
inferno2–130.0121%11 Jun →
dust22–13-0.040%9 Jun →
dust25–13-0.014%9 Jun →
cache8–13-0.0215%8 Jun →
dust213–11-0.0212%8 Jun →
inferno9–13-0.0611%6 Jun →
inferno14–16-0.068%2 Jun →
mirage4–13-0.0912%2 Jun →
overpass13–10.0011%2 Jun →
inferno1–13-0.0913%2 Jun →
dust27–13-0.0522%31 May →
anubis13–11-0.0519%31 May →
inferno13–30.008%30 May →
dust213–7-0.0128%30 May →
anubis9–13-0.0817%29 May →
inferno11–13-0.0714%13 May →
anubis13–11-0.007%12 May →
dust29–13-0.0124%12 May →
anubis10–13-0.0810%12 May →
dust213–11-0.0114%12 May →
inferno11–13-0.0415%12 May →
dust213–11-0.022%11 May →
mirage5–13-0.0213%11 May →
mirage13–6-0.0120%10 May →
inferno13–11-0.039%10 May →
dust29–13-0.059%10 May →
mirage5–13-0.0618%9 May →
mirage13–7-0.0712%9 May →
mirage13–5-0.0318%8 May →
dust28–13-0.0427%8 May →
mirage10–13-0.0316%5 May →
overpass13–80.0019%4 May →
dust216–130.0112%4 May →
mirage13–4-0.0119%4 May →
inferno13–30.0314%4 May →
dust213–60.038%4 May →
mirage13–20.0622%3 May →
dust213–8-0.0318%3 May →
mirage13–7-0.0317%2 May →
inferno13–11-0.019%2 May →
anubis7–13-0.043%2 May →
inferno13–6-0.0413%1 May →
cache5–13-0.0431%1 May →
cache4–13-0.0610%1 May →
mirage7–13-0.0212%30 Apr →
inferno15–15-0.075%30 Apr →
inferno13–11-0.0118%30 Apr →
mirage13–10-0.054%30 Apr →
nuke11–13-0.0520%27 Apr →
mirage9–13-0.0122%27 Apr →
inferno13–5-0.0413%23 Apr →
anubis7–13-0.0015%23 Apr →
inferno2–130.0014%22 Apr →
dust213–7-0.0029%22 Apr →
mirage13–4-0.0118%22 Apr →
dust213–9-0.0421%22 Apr →
inferno16–120.0617%21 Apr →
dust211–13-0.0318%20 Apr →
mirage13–11-0.0212%20 Apr →
overpass9–130.0018%20 Apr →
inferno13–100.0015%20 Apr →
mirage13–60.0115%20 Apr →
mirage13–10-0.0413%19 Apr →
ancient13–110.0312%19 Apr →
inferno7–13-0.065%18 Apr →
inferno10–13-0.0211%17 Apr →
overpass13–11-0.0217%17 Apr →
dust213–9-0.0417%17 Apr →
dust211–13-0.0820%16 Apr →
mirage16–14-0.089%14 Apr →
inferno15–15-0.0213%13 Apr →
mirage13–30.0027%13 Apr →
mirage2–13-0.056%12 Apr →
overpass13–9-0.075%12 Apr →
inferno13–110.009%12 Apr →
overpass5–13-0.058%11 Apr →
mirage13–5-0.0512%11 Apr →
ancient10–13-0.078%11 Apr →
ancient13–10.065%11 Apr →
dust25–13-0.0524%10 Apr →
ancient13–11-0.038%10 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.