hYP3R — CS2 Stats

CA76561198137615505[U:1:177349777]Steam profile ↗✓ No bans

1,779Tracked matches52%Win rate2020Tracked since

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating26,640Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)

CSDB Leaderboard#1599 of 26842 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning45

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateLWWLLWTLWW

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.0

Aggression6.6

Utility6.8

Positioning4.5

Opening Duels2.5

Clutch3.2

Strong CT-side opener

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 Twistzz 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

T-side openings. Opening success drops from 54% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim7.0

Positioning4.5

Utility6.8

Mechanics6.8

Opening Duels3.0

Win Impact5.6

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time595ms−28ms

first ⅓ avg 623ms → last ⅓ avg 595ms

Headshot accuracy22.8%+1.2%

first ⅓ avg 21.6% → last ⅓ avg 22.8%

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

0.27Best rating — nuke 9–3

13–2Biggest win — inferno

8Longest win streak

7–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

cacheBest map · 67% over 18dust2Weakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	11–13	46%	0.02
inferno	B	24	12–12	50%	0.02
cache	S	18	12–6	67%	0.01
dust2	D	17	5–12	29%	0.01
ancient	D	7	2–5	29%	0.01
nuke	—	4	3–1	75%	0.13
anubis	—	2	2–0	100%	0.03
shelter	—	1	1–0	100%	0.06
boulder	—	1	0–1	0%	-0.02
overpass	—	1	1–0	100%	0.04
poseidon	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

713Matches

56%Win rate

1.27Avg K/D

84.3ADR

45%Headshot %

Clutches & streaks

36%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	99	55%	1.08	16.4
Dust2	54	59%	1.16	17.5
Ancient	51	59%	1.08	16.9
Inferno	40	70%	1.05	15.4
Anubis	25	56%	1.20	16.8
Nuke	10	30%	0.89	15.4
Train	9	33%	0.87	16.6
Overpass	9	78%	1.05	13.3

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.

22.0%Headshot accuracy

32.9%Accuracy (enemy spotted)

32.3%Spray accuracy

80.7%Counter-strafing

9.7°Preaim

586msReaction time

26.1%T opening success

53.7%CT opening success

0.69Enemies flashed / flash

10.1%Flash assists

12.69HE damage / grenade

8.78Flashes / 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 26.081% — 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.

29% win rate across 17 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
mirage	6–13	0.03	33%	25 Aug →
cache	13–9	0.02	27%	25 Aug →
inferno	13–2	0.17	37%	25 Aug →
mirage	2–9	-0.07	25%	25 Aug →
dust2	0–13	-0.05	6%	24 Aug →
cache	13–6	0.04	27%	24 Aug →
inferno	12–12	0.00	24%	24 Aug →
dust2	11–13	0.05	21%	24 Aug →
inferno	13–7	-0.01	27%	18 Aug →
nuke	9–3	0.27	35%	16 Aug →
inferno	8–8	0.00	21%	16 Aug →
cache	2–13	-0.02	23%	12 Aug →
dust2	13–11	-0.03	29%	10 Aug →
mirage	13–5	0.02	31%	10 Aug →
cache	13–8	0.02	16%	10 Aug →
inferno	9–2	0.05	30%	6 Aug →
mirage	10–13	-0.01	28%	6 Aug →
ancient	2–13	-0.09	15%	6 Aug →
inferno	13–7	0.05	26%	6 Aug →
mirage	4–13	0.04	24%	2 Aug →
shelter	13–9	0.06	21%	1 Aug →
boulder	2–13	-0.02	26%	1 Aug →
cache	16–12	-0.00	13%	30 Jul →
mirage	13–7	0.10	20%	30 Jul →
dust2	9–13	0.01	21%	30 Jul →
inferno	13–9	0.07	12%	30 Jul →
inferno	5–13	0.04	23%	28 Jul →
mirage	14–16	0.11	14%	28 Jul →
mirage	13–10	0.02	17%	24 Jul →
cache	16–13	-0.03	24%	24 Jul →
inferno	3–13	-0.06	16%	24 Jul →
dust2	8–13	-0.02	18%	24 Jul →
cache	13–10	0.00	22%	21 Jul →
mirage	10–13	0.01	23%	21 Jul →
ancient	11–13	0.04	35%	21 Jul →
overpass	9–7	0.04	29%	18 Jul →
ancient	9–13	-0.00	22%	18 Jul →
inferno	4–9	-0.15	44%	17 Jul →
ancient	13–11	-0.01	22%	17 Jul →
mirage	13–8	0.01	10%	17 Jul →
nuke	9–4	0.25	17%	17 Jul →
inferno	9–2	0.27	21%	17 Jul →
cache	13–8	-0.04	15%	17 Jul →
ancient	13–5	0.08	16%	16 Jul →
nuke	13–9	-0.00	27%	16 Jul →
dust2	13–7	-0.02	20%	16 Jul →
poseidon	6–9	-0.02	35%	15 Jul →
cache	13–8	-0.03	21%	15 Jul →
inferno	8–13	-0.05	35%	15 Jul →
anubis	13–9	0.04	15%	13 Jul →
mirage	10–13	-0.01	20%	13 Jul →
ancient	11–13	0.08	19%	13 Jul →
inferno	13–9	0.06	14%	12 Jul →
mirage	13–10	0.08	22%	12 Jul →
cache	13–6	0.07	26%	10 Jul →
dust2	13–11	0.08	24%	10 Jul →
cache	13–7	0.05	22%	8 Jul →
ancient	5–13	-0.00	23%	8 Jul →
inferno	13–2	0.04	33%	8 Jul →
dust2	7–13	-0.03	32%	7 Jul →
mirage	8–13	0.04	18%	7 Jul →
nuke	8–13	-0.00	23%	7 Jul →
cache	12–12	0.01	19%	1 Jul →
dust2	2–13	-0.03	9%	1 Jul →
inferno	11–13	0.06	28%	1 Jul →
mirage	13–9	0.06	22%	30 Jun →
dust2	16–14	0.12	17%	30 Jun →
inferno	1–9	-0.06	13%	28 Jun →
cache	4–13	-0.01	25%	25 Jun →
mirage	13–4	0.00	30%	25 Jun →
anubis	13–6	0.02	42%	25 Jun →
mirage	13–7	0.00	20%	24 Jun →
dust2	5–13	-0.02	15%	24 Jun →
mirage	7–13	-0.01	26%	24 Jun →
inferno	13–7	0.06	12%	24 Jun →
cache	13–10	0.00	22%	23 Jun →
inferno	13–11	0.01	21%	23 Jun →
dust2	5–13	0.00	29%	19 Jun →
inferno	11–13	-0.01	34%	19 Jun →
mirage	8–13	0.00	23%	19 Jun →
mirage	12–12	0.08	18%	18 Jun →
dust2	11–13	0.08	23%	18 Jun →
inferno	13–6	0.05	21%	16 Jun →
mirage	13–7	0.05	26%	16 Jun →
dust2	13–8	0.02	15%	16 Jun →
dust2	10–13	0.03	25%	11 Jun →
inferno	13–2	-0.00	15%	11 Jun →
cache	12–12	0.02	29%	10 Jun →
mirage	13–11	0.03	16%	10 Jun →
cache	13–9	0.03	31%	6 Jun →
mirage	13–10	-0.04	15%	6 Jun →
dust2	12–12	0.01	10%	6 Jun →
cache	7–13	0.02	15%	4 Jun →
inferno	5–13	-0.06	14%	4 Jun →
dust2	12–12	-0.06	13%	2 Jun →
inferno	12–12	-0.01	23%	2 Jun →
mirage	8–13	-0.01	23%	2 Jun →
cache	5–13	-0.01	15%	31 May →
inferno	5–13	-0.07	20%	18 May →
mirage	4–8	-0.05	33%	18 May →