Indy — CS2 Stats

US76561198044363294[U:1:84097566]Steam profile ↗✓ No bans

1,740Tracked matches41%Win rate2020Tracked since

CSDB Rating4.8 DevelopingHybrid Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim64

Positioning55

Utility48

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateLLLLTLWLWW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4

Aggression6.7

Utility4.8

Positioning5.5

Opening Duels2.8

Clutch4.0

Strong CT-side openerLimited utility dependence

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

Plays most like ropz 87% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 50% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 580ms 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

Aim6.4

Positioning5.5

Utility4.8

Mechanics5.6

Opening Duels2.8

Win Impact2.1

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time572ms−9ms

first ⅓ avg 581ms → last ⅓ avg 572ms

Headshot accuracy15.7%+0.2%

first ⅓ avg 15.5% → last ⅓ avg 15.7%

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

0.09Best rating — train 9–13

13–3Biggest win — inferno

9Longest win streak

L4Current streak

9–10In matches decided by ≤2 rounds

19Overtime games

Map breakdown

ancientBest map · 61% over 28dust2Weakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	33	15–18	45%	-0.01
ancient	A	28	17–11	61%	-0.01
overpass	D	12	3–9	25%	-0.02
nuke	D	11	3–8	27%	-0.02
dust2	D	5	1–4	20%	-0.05
anubis	—	4	3–1	75%	0.02
mirage	—	3	2–1	67%	-0.03
train	—	3	1–2	33%	0.02
cache	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

961Matches

50%Win rate

0.99Avg K/D

77.6ADR

43%Headshot %

Clutches & streaks

40%1v1 clutch win

16%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	285	52%	1.01	15.2
Ancient	227	52%	1.00	15.4
Vertigo	110	65%	1.08	15.9
Nuke	92	48%	0.93	14.6
Dust2	69	41%	0.89	14.5
Overpass	65	49%	0.97	15.1
Anubis	55	36%	0.88	14.1
Train	33	52%	1.18	16.9

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.

15.1%Headshot accuracy

35.9%Accuracy (enemy spotted)

40.6%Spray accuracy

75.1%Counter-strafing

10.9°Preaim

580msReaction time

32.5%T opening success

50.2%CT opening success

0.57Enemies flashed / flash

8.3%Flash assists

8.95HE damage / grenade

4.23Flashes / 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.

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 32.4894% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	5–13	-0.01	13%	16 Aug →
cache	7–13	0.02	21%	2 May →
inferno	3–13	-0.07	25%	1 May →
nuke	11–13	-0.04	12%	1 May →
overpass	15–15	-0.02	11%	1 May →
ancient	7–13	-0.04	7%	1 May →
ancient	16–14	-0.01	6%	1 May →
inferno	10–13	-0.07	11%	1 May →
inferno	13–11	-0.05	21%	26 Apr →
anubis	13–5	0.00	17%	26 Apr →
inferno	5–13	-0.05	16%	25 Apr →
nuke	3–13	-0.11	26%	25 Apr →
inferno	10–13	0.01	21%	18 Apr →
ancient	13–6	0.04	13%	18 Apr →
inferno	13–3	0.05	16%	18 Apr →
mirage	14–16	-0.05	13%	18 Apr →
ancient	13–9	0.02	16%	18 Apr →
anubis	16–14	0.01	22%	18 Apr →
ancient	8–13	-0.04	21%	17 Apr →
nuke	8–13	0.07	15%	12 Apr →
anubis	12–6	0.08	14%	11 Apr →
inferno	9–13	0.08	17%	8 Feb →
ancient	9–13	-0.02	10%	1 Feb →
anubis	8–13	0.01	18%	1 Feb →
inferno	16–14	-0.02	11%	31 Jan →
ancient	13–9	-0.01	14%	31 Jan →
inferno	13–5	-0.04	10%	19 Jan →
inferno	13–10	-0.05	24%	17 Jan →
nuke	8–13	-0.03	16%	17 Jan →
inferno	6–13	0.00	7%	11 Jan →
overpass	9–13	-0.00	12%	30 Dec →
inferno	11–13	-0.01	33%	27 Dec →
inferno	7–13	-0.04	10%	26 Dec →
ancient	7–13	-0.10	6%	23 Dec →
nuke	3–13	-0.03	13%	22 Dec →
inferno	10–13	-0.03	18%	21 Dec →
nuke	8–13	0.00	10%	29 Sept →
inferno	13–7	-0.00	18%	25 Sept →
overpass	3–13	-0.03	11%	25 Sept →
nuke	16–13	-0.00	12%	21 Sept →
overpass	7–13	0.03	16%	13 Sept →
inferno	8–13	-0.08	9%	13 Sept →
ancient	13–8	-0.01	10%	12 Sept →
dust2	7–13	-0.04	14%	10 Sept →
ancient	16–12	0.01	10%	9 Sept →
dust2	16–13	-0.02	14%	8 Sept →
inferno	13–10	0.02	15%	8 Sept →
inferno	8–13	-0.03	13%	7 Sept →
ancient	7–13	0.03	13%	5 Sept →
inferno	14–16	-0.03	4%	5 Sept →
inferno	13–5	0.04	17%	5 Sept →
ancient	14–16	-0.02	11%	4 Sept →
overpass	10–13	-0.09	26%	2 Sept →
ancient	4–13	-0.09	10%	28 Aug →
nuke	13–9	-0.06	9%	24 Aug →
train	9–13	0.09	13%	24 Aug →
inferno	9–13	-0.03	13%	24 Aug →
overpass	13–8	-0.01	14%	24 Aug →
ancient	13–9	-0.01	12%	24 Aug →
overpass	7–13	-0.03	10%	23 Aug →
overpass	13–7	0.03	15%	23 Aug →
ancient	19–16	-0.03	10%	23 Aug →
inferno	19–17	0.03	19%	23 Aug →
ancient	16–12	0.04	11%	23 Aug →
overpass	9–13	-0.10	9%	22 Aug →
inferno	13–6	0.04	14%	22 Aug →
ancient	13–6	-0.03	11%	21 Aug →
inferno	9–13	-0.01	15%	21 Aug →
inferno	13–5	0.02	18%	17 Aug →
nuke	11–13	-0.02	11%	17 Aug →
inferno	13–9	0.01	15%	17 Aug →
mirage	13–11	-0.03	14%	17 Aug →
nuke	13–8	0.05	16%	16 Aug →
ancient	13–7	0.02	19%	16 Aug →
overpass	13–10	0.01	17%	16 Aug →
ancient	13–9	0.01	17%	16 Aug →
mirage	13–11	0.00	11%	16 Aug →
ancient	13–7	0.06	13%	15 Aug →
ancient	13–7	-0.01	18%	13 Aug →
dust2	13–16	-0.05	13%	7 Aug →
inferno	11–13	-0.04	19%	5 Aug →
ancient	13–4	-0.07	17%	5 Aug →
inferno	16–14	-0.01	26%	4 Aug →
train	7–13	-0.03	20%	4 Aug →
ancient	13–9	0.04	17%	3 Aug →
ancient	13–7	0.03	14%	2 Aug →
dust2	5–13	-0.09	16%	2 Aug →
ancient	16–19	-0.01	10%	1 Aug →
nuke	7–13	-0.07	11%	31 Jul →
inferno	13–9	-0.08	7%	19 Jul →
overpass	14–16	0.00	13%	19 Jul →
inferno	13–6	0.09	22%	19 Jul →
overpass	11–13	-0.04	13%	19 Jul →
ancient	11–13	0.01	16%	28 Jun →
train	13–11	0.01	20%	28 Jun →
inferno	5–13	-0.02	13%	21 Jun →
ancient	4–13	0.00	15%	14 Jun →
inferno	15–15	-0.01	17%	14 Jun →
dust2	13–16	-0.04	12%	7 Jun →
ancient	3–13	-0.05	16%	7 Jun →