Indian Trader

Indian Trader — CS2 Stats

76561198179605329[U:1:219339601]Steam profile ↗

1,579Tracked matches52%Win rate2020Tracked since
CSDB Rating6.0 SolidHybrid Rifler
Premier CS Rating19,887Purple band · top ~8.9% of ranked players (population est.)
CSDB Leaderboard#6718 of 14459 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGIndian TraderFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER19,887 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning54
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY58402Last 10058%Win rateWLWLLWWLTW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression5.2
Utility5.8
Positioning5.4
Opening Duels2.1
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.

Your pro match

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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. 653ms 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

Aim6.9
Positioning5.4
Utility5.8
Mechanics8.0
Opening Duels2.1
Win Impact5.6

Composite 6.0/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time651ms−24ms
first ⅓ avg 675ms → last ⅓ avg 651ms
Headshot accuracy19.7%−1.0%
first ⅓ avg 20.7% → last ⅓ avg 19.7%

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.

Highlights

0.17Best rating — mirage 13–4
130Biggest win — overpass
9Longest win streak
87In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 69% over 29anubisWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
mirageS2920969%0.02
dust2B189950%0.00
infernoA148657%0.01
ancientA149564%0.02
anubisB115645%0.01
cache41325%-0.01
nuke42250%0.03
overpass32167%-0.00
vertigo32167%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,262Matches
58%Win rate
1.29Avg K/D
71.1ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4867%1.0515.6
Dust22941%0.9214.1
Anubis2138%1.0114.1
Ancient1953%1.1313.3
Inferno1771%1.0616.5
Cache1338%1.0915.2
Nuke633%0.7613.7
Vertigo30%1.1018.7

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.

19.9%Headshot accuracy
33.5%Accuracy (enemy spotted)
33.9%Spray accuracy
85.9%Counter-strafing
9.1°Preaim
653msReaction time
36.3%T opening success
40.8%CT opening success
0.64Enemies flashed / flash
10.3%Flash assists
9.10HE damage / grenade
11.06Flashes / 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 36.3101% — 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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0410%10 Jun
cache6–130.0934%9 Jun
inferno13–11-0.0014%9 Jun
anubis5–13-0.0017%9 Jun
dust28–13-0.0123%8 Jun
mirage16–130.0224%2 Jun
anubis5–10.100%1 Jun
anubis9–13-0.0622%29 May
dust215–15-0.009%28 May
nuke13–60.1125%28 May
dust213–6-0.0128%27 May
dust29–13-0.0120%27 May
inferno5–13-0.0233%18 May
cache3–13-0.0414%10 May
anubis13–2-0.027%5 May
dust213–4-0.0220%5 May
cache9–13-0.0616%5 May
dust214–16-0.0326%4 May
mirage13–70.0615%4 May
mirage13–100.1017%4 May
inferno8–130.0220%3 May
ancient13–8-0.025%3 May
mirage13–9-0.0123%3 May
ancient13–10-0.0220%3 May
dust23–13-0.0422%2 May
mirage19–16-0.0320%30 Apr
mirage2–13-0.0212%29 Apr
nuke8–13-0.049%29 Apr
dust27–130.0050%29 Apr
inferno13–70.0426%28 Apr
ancient9–130.0120%27 Apr
overpass7–130.0319%27 Apr
mirage10–130.0226%27 Apr
inferno16–130.0020%27 Apr
inferno10–13-0.0233%27 Apr
nuke13–8-0.0123%26 Apr
mirage13–100.0217%26 Apr
ancient13–20.0118%26 Apr
mirage13–100.0317%26 Apr
inferno13–7-0.0321%25 Apr
mirage13–90.0210%25 Apr
ancient13–8-0.0231%25 Apr
mirage13–5-0.0026%25 Apr
mirage13–40.0119%25 Apr
mirage11–130.0616%23 Apr
dust213–90.0629%23 Apr
dust215–150.0319%21 Apr
dust213–5-0.0021%21 Apr
ancient6–13-0.0418%21 Apr
inferno13–70.0011%21 Apr
mirage13–70.0420%20 Apr
mirage13–110.0311%20 Apr
mirage13–110.0921%20 Apr
anubis13–110.0630%19 Apr
dust213–5-0.0018%19 Apr
ancient7–130.0614%19 Apr
inferno11–130.0825%17 Apr
mirage12–16-0.0335%17 Apr
mirage2–9-0.0527%16 Apr
inferno13–100.0915%16 Apr
mirage13–80.0318%16 Apr
ancient13–40.0912%16 Apr
mirage13–100.0618%16 Apr
dust213–40.0327%15 Apr
ancient11–130.0333%14 Apr
dust213–60.0211%14 Apr
mirage13–40.1726%14 Apr
dust210–130.0017%13 Apr
overpass13–9-0.0223%13 Apr
mirage4–13-0.0418%11 Apr
ancient16–120.0921%11 Apr
mirage13–40.0829%11 Apr
inferno10–130.0923%4 Apr
nuke10–130.0622%3 Apr
mirage7–130.0020%2 Apr
mirage14–160.0032%2 Apr
anubis13–70.1023%1 Apr
dust25–13-0.0315%25 Jun
ancient13–70.0117%25 Jun
dust213–10.0320%25 Jun
mirage10–13-0.0517%3 May
inferno13–9-0.0720%3 May
ancient13–11-0.0422%6 Nov
vertigo13–60.0825%6 Nov
anubis10–130.0326%7 Oct
anubis11–130.0319%7 Oct
inferno9–13-0.0513%7 Oct
dust213–90.0119%1 Sept
mirage13–6-0.0525%1 Sept
mirage13–8-0.0316%14 Aug
vertigo2–13-0.0121%25 Jul
anubis8–13-0.1119%20 Mar
overpass13–0-0.0118%18 Mar
ancient13–90.0826%14 Mar
vertigo13–110.0321%11 Mar
anubis13–30.0019%11 Mar
ancient8–130.0016%10 Mar
mirage16–140.0222%5 Mar
inferno16–140.0115%4 Mar
anubis11–130.0123%4 Mar

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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