Indomitable Hoeman — CS2 Stats

US76561198391102148[U:1:430836420]Steam profile ↗✓ No bans

1,486Tracked matches40%Win rate2020Tracked since

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating18,623Purple band · top ~14% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning60

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateLWWLWLWLLL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim6.4

Aggression7.4

Utility6.1

Positioning6.0

Opening Duels3.1

Clutch4.0

Strong CT-side openerEffective flashes

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 b1t 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.94 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms 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

Positioning6.0

Utility6.1

Mechanics5.8

Opening Duels3.8

Win Impact1.7

Composite 5.5/10 (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-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time624ms+4ms

first ⅓ avg 620ms → last ⅓ avg 624ms

Headshot accuracy19.8%+2.0%

first ⅓ avg 17.8% → last ⅓ avg 19.8%

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

0.19Best rating — nuke 13–4

13–0Biggest win — nuke

4Longest win streak

9–10In matches decided by ≤2 rounds

20Overtime games

Map breakdown

infernoBest map · 60% over 5anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	9–16	36%	-0.02
mirage	B	24	12–12	50%	-0.02
nuke	A	14	8–6	57%	0.03
ancient	D	12	4–8	33%	-0.02
anubis	D	11	3–8	27%	-0.04
cache	D	7	2–5	29%	-0.03
inferno	A	5	3–2	60%	-0.02
overpass	—	2	2–0	100%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

120Matches

57%Win rate

1.05Avg K/D

74.8ADR

44%Headshot %

Clutches & streaks

40%1v1 clutch win

19%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	26	42%	0.98	14.4
Mirage	23	65%	1.04	13.7
Ancient	20	85%	1.04	16.8
Nuke	16	56%	1.10	16.1
Inferno	11	36%	1.00	13.6
Anubis	7	71%	1.16	16.0
Train	7	29%	1.14	18.4
Cache	5	80%	1.42	18.2

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

32.6%Accuracy (enemy spotted)

36.8%Spray accuracy

76.1%Counter-strafing

9.5°Preaim

625msReaction time

24.1%T opening success

60.7%CT opening success

0.94Enemies flashed / flash

10.9%Flash assists

5.55HE damage / grenade

6.50Flashes / 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 24.1% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	0.01	20%	28 Aug →
ancient	13–5	0.05	18%	24 Aug →
inferno	13–3	-0.01	22%	24 Aug →
anubis	7–13	-0.07	10%	22 Aug →
dust2	13–1	0.12	20%	22 Aug →
dust2	9–13	-0.06	23%	21 Aug →
cache	13–2	-0.01	24%	21 Aug →
mirage	6–13	-0.03	22%	21 Aug →
mirage	10–13	-0.03	11%	20 Aug →
cache	11–13	-0.10	17%	20 Aug →
mirage	10–13	0.00	22%	14 Aug →
mirage	16–12	0.05	14%	10 Aug →
nuke	16–14	0.03	25%	10 Aug →
dust2	14–16	-0.03	30%	8 Aug →
dust2	7–13	-0.08	25%	3 Aug →
nuke	13–11	0.00	33%	3 Aug →
mirage	13–4	0.03	17%	3 Aug →
cache	11–13	-0.04	28%	3 Aug →
dust2	12–16	-0.06	21%	1 Aug →
anubis	10–13	-0.04	23%	1 Aug →
dust2	13–16	-0.04	20%	26 Jul →
dust2	10–13	-0.03	19%	23 Jul →
nuke	13–16	-0.04	17%	21 Jul →
dust2	16–13	-0.02	18%	21 Jul →
mirage	13–7	-0.07	7%	21 Jul →
anubis	10–13	-0.01	16%	20 Jul →
inferno	13–6	0.01	17%	20 Jul →
dust2	16–13	-0.03	17%	19 Jul →
nuke	7–13	0.03	20%	19 Jul →
dust2	9–13	-0.02	13%	18 Jul →
ancient	10–13	-0.04	18%	16 Jul →
nuke	13–6	0.05	24%	16 Jul →
dust2	5–13	-0.08	22%	16 Jul →
anubis	3–13	-0.12	14%	15 Jul →
cache	6–13	0.02	22%	15 Jul →
mirage	13–2	0.11	30%	14 Jul →
anubis	13–11	-0.03	21%	14 Jul →
ancient	13–6	0.04	18%	14 Jul →
mirage	13–5	-0.02	26%	13 Jul →
dust2	11–13	-0.03	28%	13 Jul →
nuke	13–0	0.09	20%	13 Jul →
cache	13–7	-0.02	19%	13 Jul →
mirage	10–13	-0.04	26%	11 Jul →
ancient	11–13	-0.02	27%	11 Jul →
cache	6–13	-0.06	11%	11 Jul →
anubis	13–9	-0.05	14%	11 Jul →
mirage	13–8	-0.11	7%	10 Jul →
nuke	13–11	-0.00	18%	9 Jul →
mirage	13–6	-0.04	23%	8 Jul →
mirage	15–15	0.02	20%	6 Jul →
dust2	14–16	0.01	15%	2 Jul →
nuke	13–2	-0.00	11%	2 Jul →
dust2	9–13	0.04	21%	1 Jul →
dust2	13–6	0.08	25%	29 Jun →
anubis	13–6	0.05	18%	29 Jun →
ancient	15–15	-0.05	26%	23 Jun →
dust2	13–11	0.06	15%	22 Jun →
dust2	13–11	-0.06	22%	22 Jun →
nuke	9–13	-0.04	15%	21 Jun →
mirage	7–13	-0.08	35%	21 Jun →
nuke	15–15	0.03	13%	21 Jun →
dust2	13–6	-0.03	10%	21 Jun →
mirage	13–6	-0.00	21%	21 Jun →
inferno	16–14	-0.01	15%	19 Jun →
dust2	9–13	-0.06	16%	18 Jun →
overpass	13–9	-0.03	5%	17 Jun →
dust2	5–13	-0.01	21%	17 Jun →
anubis	15–15	-0.02	17%	16 Jun →
ancient	15–15	-0.04	16%	15 Jun →
dust2	5–13	-0.05	10%	15 Jun →
nuke	13–4	0.19	34%	15 Jun →
mirage	10–13	-0.10	13%	15 Jun →
nuke	13–16	-0.00	22%	9 Jun →
mirage	2–13	-0.11	17%	9 Jun →
mirage	16–13	0.03	28%	8 Jun →
nuke	11–13	-0.03	21%	8 Jun →
mirage	11–13	-0.02	19%	7 Jun →
ancient	13–8	-0.03	42%	7 Jun →
dust2	13–8	0.02	24%	5 Jun →
mirage	13–11	-0.01	10%	5 Jun →
inferno	9–13	-0.02	11%	1 Jun →
ancient	13–11	-0.03	14%	1 Jun →
anubis	14–16	-0.02	7%	29 May →
dust2	9–13	-0.04	34%	29 May →
mirage	8–13	-0.05	26%	29 May →
anubis	6–13	-0.08	18%	27 May →
dust2	7–13	-0.03	7%	27 May →
anubis	15–15	-0.03	18%	21 May →
ancient	3–13	-0.02	18%	18 May →
ancient	9–13	-0.03	16%	17 May →
inferno	7–13	-0.05	21%	17 May →
mirage	9–13	-0.01	14%	15 May →
ancient	1–13	-0.04	18%	4 May →
mirage	13–7	0.04	9%	4 May →
overpass	13–4	0.03	11%	4 May →
dust2	13–8	-0.03	19%	3 May →
nuke	13–4	0.08	24%	3 May →
cache	9–13	-0.01	8%	29 Apr →
mirage	13–10	0.03	16%	28 Apr →
ancient	15–15	-0.06	6%	23 Apr →