Hate — CS2 Stats

76561198033673970[U:1:73408242]Steam profile ↗✓ No bans

2,636Tracked matches45%Win rate2020Tracked since

CSDB Rating4.9 DevelopingPassive Rifler

Premier CS Rating24,895Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)

CSDB Leaderboard#3517 of 23185 tracked

FaceitLevel 9 · 2,152 ELOTop 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning38

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateLWTWLLWLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

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

Aim6.7

Aggression3.5

Utility3.9

Positioning3.8

Opening Duels0.6

Clutch4.2

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 NiKo 80% playstyle similarity

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

Where you differ: lower utility contribution; 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. 649ms 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

Aim6.7

Positioning3.8

Utility3.9

Mechanics6.8

Opening Duels1.1

Win Impact3.3

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time644ms−35ms

first ⅓ avg 680ms → last ⅓ avg 644ms

Headshot accuracy16.9%−1.1%

first ⅓ avg 18.0% → last ⅓ avg 16.9%

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.

Highlights

0.18Best rating — dust2 13–1

13–0Biggest win — inferno

5Longest win streak

9–4In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 70% over 10dust2Weakest map · 32% over 22

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	10–15	40%	-0.01
dust2	D	22	7–15	32%	-0.02
inferno	A	14	8–6	57%	-0.01
ancient	A	11	7–4	64%	-0.01
nuke	S	10	7–3	70%	-0.01
cache	C	9	4–5	44%	-0.00
overpass	B	6	3–3	50%	-0.04
anubis	—	3	1–2	33%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,203Matches

50%Win rate

0.99Avg K/D

75.8ADR

46%Headshot %

Clutches & streaks

41%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	565	54%	1.10	14.5
Inferno	261	55%	1.00	15.6
Ancient	236	51%	1.01	15.3
Dust2	227	48%	1.00	14.7
Nuke	101	47%	0.94	15.3
Anubis	86	33%	0.76	13.4
Vertigo	58	48%	0.83	14.0
Overpass	49	57%	1.07	14.6

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.

15.8%Headshot accuracy

38.2%Accuracy (enemy spotted)

41.5%Spray accuracy

80.7%Counter-strafing

11.0°Preaim

649msReaction time

26.1%T opening success

38.5%CT opening success

0.49Enemies flashed / flash

4.5%Flash assists

6.53HE damage / grenade

6.14Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4909 — below the 0.5 mark we flag
Grenade Lineups →
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 26.0736% — 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.

32% win rate across 22 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	13–16	-0.05	16%	18 Aug →
nuke	25–23	0.02	10%	13 Aug →
dust2	12–12	0.02	22%	12 Aug →
cache	13–5	-0.01	13%	12 Aug →
inferno	0–12	-0.01	24%	12 Aug →
dust2	11–13	-0.05	12%	12 Aug →
cache	16–13	-0.01	12%	11 Aug →
mirage	5–13	-0.04	19%	9 Aug →
dust2	13–1	0.18	16%	7 Aug →
ancient	13–11	-0.01	14%	6 Aug →
cache	9–13	0.06	11%	6 Aug →
mirage	13–16	0.03	12%	31 Jul →
mirage	13–8	-0.02	8%	31 Jul →
nuke	6–13	-0.02	12%	29 Jul →
cache	4–13	-0.02	15%	28 Jul →
inferno	13–10	0.01	21%	28 Jul →
mirage	9–13	-0.00	33%	28 Jul →
cache	3–13	-0.02	40%	28 Jul →
anubis	6–13	-0.05	10%	23 Jul →
dust2	1–13	-0.09	8%	23 Jul →
mirage	0–13	-0.07	0%	23 Jul →
dust2	13–5	-0.01	8%	22 Jul →
ancient	13–8	-0.05	22%	22 Jul →
dust2	1–13	-0.11	22%	21 Jul →
mirage	13–4	0.01	9%	21 Jul →
mirage	4–13	-0.09	22%	21 Jul →
anubis	13–9	-0.04	11%	21 Jul →
dust2	16–14	-0.05	17%	20 Jul →
mirage	10–13	-0.00	19%	20 Jul →
dust2	13–5	0.00	26%	20 Jul →
inferno	13–8	0.04	26%	20 Jul →
inferno	10–13	0.02	21%	19 Jul →
inferno	13–0	0.00	25%	19 Jul →
mirage	13–7	0.09	17%	19 Jul →
mirage	13–10	-0.01	48%	19 Jul →
cache	13–10	0.07	17%	19 Jul →
cache	13–8	-0.02	23%	19 Jul →
dust2	8–13	-0.02	20%	19 Jul →
cache	3–9	-0.05	0%	7 Jul →
nuke	6–13	-0.02	16%	4 Jul →
overpass	10–13	-0.10	14%	4 Jul →
ancient	13–7	-0.03	18%	4 Jul →
dust2	3–13	-0.04	22%	4 Jul →
ancient	3–13	0.03	12%	4 Jul →
dust2	13–10	0.10	16%	4 Jul →
inferno	0–13	-0.05	50%	4 Jul →
overpass	13–11	-0.03	9%	4 Jul →
inferno	13–11	0.03	31%	4 Jul →
mirage	13–3	0.04	18%	4 Jul →
overpass	16–12	-0.03	13%	4 Jul →
dust2	13–9	0.04	17%	4 Jul →
ancient	6–13	0.02	13%	4 Jul →
nuke	6–13	0.01	22%	1 Jul →
mirage	14–16	-0.02	23%	30 Jun →
dust2	14–16	-0.04	6%	30 Jun →
ancient	16–13	-0.03	8%	29 Jun →
mirage	10–13	-0.07	20%	29 Jun →
mirage	13–6	0.03	18%	26 May →
dust2	10–13	-0.08	44%	26 May →
dust2	8–13	-0.03	13%	5 May →
mirage	13–5	0.02	10%	4 May →
nuke	13–7	-0.02	14%	4 May →
dust2	13–2	0.03	14%	4 May →
dust2	5–13	-0.05	16%	4 May →
inferno	13–11	-0.07	10%	4 May →
inferno	13–8	0.04	6%	4 May →
mirage	8–13	-0.02	18%	4 May →
mirage	13–9	-0.01	21%	4 May →
mirage	13–2	0.07	12%	4 May →
cache	12–12	-0.02	19%	4 May →
overpass	11–13	0.07	14%	28 Apr →
nuke	13–11	0.06	25%	27 Apr →
dust2	10–13	-0.06	18%	26 Apr →
mirage	10–13	-0.09	22%	26 Apr →
mirage	2–13	-0.03	14%	26 Apr →
inferno	16–13	0.00	18%	25 Apr →
nuke	13–9	0.01	15%	25 Apr →
ancient	6–10	-0.02	10%	22 Apr →
dust2	9–13	-0.05	8%	22 Apr →
nuke	16–13	-0.03	15%	22 Apr →
inferno	13–11	0.00	36%	21 Apr →
nuke	13–4	-0.04	17%	21 Apr →
dust2	1–13	-0.07	17%	16 Apr →
mirage	4–13	0.08	21%	14 Apr →
overpass	3–6	-0.06	13%	13 Apr →
inferno	5–13	-0.03	21%	13 Apr →
dust2	8–13	-0.01	30%	12 Apr →
inferno	5–13	-0.09	24%	11 Apr →
ancient	13–10	-0.02	10%	11 Apr →
dust2	4–13	-0.07	25%	11 Apr →
overpass	13–9	-0.06	20%	11 Apr →
mirage	8–13	0.00	25%	10 Apr →
mirage	13–5	-0.03	11%	8 Apr →
ancient	13–9	-0.03	16%	8 Apr →
mirage	9–13	-0.05	8%	6 Apr →
inferno	12–16	-0.03	12%	6 Apr →
anubis	9–13	-0.04	31%	6 Apr →
nuke	13–8	-0.02	13%	6 Apr →
ancient	3–13	0.00	19%	6 Apr →
ancient	13–11	-0.03	18%	5 Apr →