Indiana

Indiana — CS2 Stats

NO76561198104639721[U:1:144373993]Steam profile ↗VAC banned

487Tracked matches52%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 487
0.0ppWin rate · 51.7% → 51.7%

Rating over time

Premier CS Rating: 28,247 +3,228 21 May – 18 Jan · 14 days played
24,99928,350peak 28,35021 May18 Jan
28,350Peak Premier in tracked matches
43Days played since 2025-05-21

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

Performance scores

Aim81
Positioning42
Utility58

0–100 skill scores via Leetify.

Recent form

COLD61–36–3Last 10061%Win rateLLWLWLWTLL

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · −1.0pp headshot accuracy · +44ms reaction

Win rate down 40pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 525ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 549ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 527ms

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 (+1.7 against its own average).

Aim8.1
Utility5.8
Positioning4.2
Opening Duels1.9
Clutch4.6

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

ZywOo

Plays most like ZywOo 90% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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 →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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

Aim8.1
Positioning4.2
Utility5.8
Mechanics7.1
Opening Duels1.6
Win Impact5.6

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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time519ms+10ms
first ⅓ avg 508ms → last ⅓ avg 519ms
Headshot accuracy19.9%+3.9%
first ⅓ avg 16.0% → last ⅓ avg 19.9%

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

0.13Best match rating · 13–5 · overpass, 11 Aug →
33%Best headshot accuracy · 13–10 · dust2, 5 Apr →
344msFastest reaction time · 13–10 · cache_b, 19 Oct →
13–1Biggest win · mirage, 5 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
8–8In matches decided by ≤2 rounds
16Overtime games

Map breakdown

infernoBest map · 83% over 18mirageWeakest map · 52% over 23
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%0.02
ancientA2212–1055%0.01
infernoS1815–383%0.04
overpassA1610–663%0.03
anubisA85–363%0.03
dust2S64–267%0.00
cache_b—31–233%-0.01
train—21–150%0.08
vertigo—10–10%-0.03
nuke—11–0100%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (52% over 23). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

460Matches
55%Win rate
1.26Avg K/D
85.4ADR
41%Headshot %

Clutches & streaks

43%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1553%1.2817.2
Ancient862%1.1417.4
Inferno757%1.0017.1
Anubis450%1.1518.5
Dust2250%1.0220.0
Nuke1100%1.5018.0
Overpass1100%0.6414.0

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.

19.8%Headshot accuracy
36.4%Accuracy (enemy spotted)
38.1%Spray accuracy
81.9%Counter-strafing
9.7°Preaim
524msReaction time
27.9%T opening success
42.4%CT opening success
0.65Enemies flashed / flash
7.3%Flash assists
7.88HE damage / grenade
9.34Flashes / 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. 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 27.8993% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust26–130.0227%1 Oct →
ancient7–130.0318%17 Aug →
dust216–13-0.0417%19 Jun →
overpass9–13-0.0028%4 Jun →
mirage13–40.1016%4 Jun →
ancient3–13-0.0513%4 Jun →
mirage13–60.0527%4 Jun →
mirage15–150.0523%2 Jun →
inferno4–13-0.0719%22 May →
mirage8–13-0.0229%22 May →
ancient13–40.0427%22 May →
ancient13–50.0431%22 May →
dust213–10-0.0233%5 Apr →
ancient13–7-0.0118%5 Apr →
ancient13–100.0121%5 Apr →
mirage13–70.0123%5 Apr →
anubis6–13-0.0023%15 Mar →
overpass13–11-0.0517%14 Mar →
mirage9–13-0.0521%14 Mar →
ancient11–130.0113%14 Mar →
mirage13–100.0015%14 Mar →
mirage13–60.0217%13 Mar →
inferno13–100.0413%13 Mar →
ancient13–7-0.035%12 Mar →
mirage11–130.0320%12 Mar →
mirage9–130.0222%12 Mar →
overpass9–13-0.0319%10 Mar →
overpass5–130.0317%18 Jan →
overpass16–130.069%17 Jan →
inferno5–13-0.0120%17 Jan →
ancient9–130.0619%17 Jan →
overpass13–20.0121%17 Jan →
inferno13–100.0216%17 Jan →
ancient13–80.0613%17 Jan →
overpass13–40.0513%13 Jan →
mirage13–100.0220%1 Jan →
inferno13–40.0423%31 Dec →
train9–130.0325%31 Dec →
dust213–80.029%31 Dec →
vertigo11–13-0.0315%31 Dec →
inferno13–50.0923%12 Nov →
ancient4–13-0.0716%12 Nov →
inferno13–40.069%11 Nov →
ancient16–12-0.0114%10 Nov →
overpass16–120.0413%10 Nov →
train13–110.1321%10 Nov →
ancient6–13-0.023%2 Nov →
mirage15–15-0.0514%27 Oct →
inferno13–90.0431%27 Oct →
overpass13–110.0223%27 Oct →
mirage5–13-0.0426%27 Oct →
mirage11–13-0.029%21 Oct →
cache_b14–16-0.0412%19 Oct →
cache_b13–100.0016%19 Oct →
inferno13–90.0225%19 Oct →
cache_b8–13-0.0014%19 Oct →
mirage10–130.0316%17 Oct →
ancient5–13-0.0319%17 Oct →
inferno13–11-0.0333%17 Oct →
inferno13–70.0125%17 Oct →
overpass16–140.0230%16 Oct →
inferno13–100.0221%5 Oct →
overpass3–130.0428%4 Oct →
mirage13–80.1222%4 Oct →
overpass16–130.0617%1 Oct →
ancient11–130.0620%1 Oct →
inferno16–130.0422%1 Oct →
inferno13–110.1221%21 Sept →
mirage16–130.0721%21 Sept →
mirage13–90.0314%13 Sept →
overpass11–130.0018%13 Sept →
inferno9–10.0915%13 Sept →
ancient13–60.0529%1 Sept →
inferno16–130.0715%28 Aug →
overpass13–50.1314%11 Aug →
overpass13–50.0310%7 Aug →
mirage4–130.0017%7 Aug →
inferno15–150.0411%25 Jul →
overpass4–130.0513%25 Jul →
anubis6–130.0513%9 Jul →
ancient13–60.0824%9 Jul →
anubis13–50.1114%9 Jul →
ancient10–13-0.0320%9 Jul →
mirage13–10.0111%5 Jul →
dust213–16-0.0019%5 Jul →
ancient10–130.0112%5 Jul →
ancient13–40.0713%1 Jul →
anubis19–17-0.0110%1 Jul →
nuke13–100.0515%1 Jul →
anubis13–80.0420%24 Jun →
mirage13–80.0317%24 Jun →
ancient16–14-0.0212%24 Jun →
anubis13–9-0.0016%24 Jun →
ancient13–60.0413%30 May →
anubis13–60.0218%30 May →
dust213–70.0416%22 May →
mirage5–13-0.0723%21 May →
inferno13–90.0311%21 May →
mirage13–70.0115%21 May →
anubis11–130.0818%21 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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