hypergamous foid slayer — CS2 Stats

76561199162676262[U:1:1202410534]✓ No bans

378Tracked matches52%Win rate2021Tracked since

CSDB Rating4.2 Developing

Premier CS Rating12,200Blue band · top ~43.2% of ranked players (population est.)

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim52

Positioning35

Utility34

0–100 skill scores via Leetify.

Recent form

COLD48–48–4Last 10048%Win rateLWLWLWLLLL

Last 10 vs previous 10: -40pp win rate · -0.05 avg rating

Player DNA

Aim5.2

Aggression2.0

Utility3.4

Positioning3.5

Opening Duels0.0

Clutch1.4

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 71% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 681ms 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

Aim5.2

Positioning3.5

Utility3.4

Mechanics7.6

Opening Duels0.0

Win Impact5.6

Composite 4.2/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time657ms−45ms

first ⅓ avg 702ms → last ⅓ avg 657ms

Headshot accuracy14.4%−3.7%

first ⅓ avg 18.1% → last ⅓ avg 14.4%

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

0.11Best rating — cache 13–3

13–0Biggest win — dust2

4Longest win streak

7–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 63% over 24mirageWeakest map · 37% over 27

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	10–17	37%	-0.01
dust2	A	24	15–9	63%	-0.00
cache	B	17	8–9	47%	-0.01
nuke	C	17	7–10	41%	-0.00
inferno	C	5	2–3	40%	-0.06
ancient	A	5	3–2	60%	0.02
anubis	—	4	2–2	50%	-0.02
fachwerk	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

29Matches

41%Win rate

0.92Avg K/D

68.2ADR

44%Headshot %

Clutches & streaks

27%1v1 clutch win

13%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	12%	0.79	13.3
Nuke	4	25%	0.68	11.3
Inferno	3	67%	0.84	11.0
Anubis	3	67%	0.99	15.0
Ancient	3	33%	1.15	11.3
Dust2	3	67%	0.81	10.3
Train	2	100%	1.73	19.0
Cache	2	0%	0.96	15.0

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.

15.4%Headshot accuracy

32.2%Accuracy (enemy spotted)

31.6%Spray accuracy

84.3%Counter-strafing

10.0°Preaim

681msReaction time

22.6%T opening success

23.3%CT opening success

0.57Enemies flashed / flash

6.3%Flash assists

4.83HE damage / grenade

2.68Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.6789 — below the 4 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 22.6287% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	1–3	-0.16	0%	21 Aug →
ancient	7–1	-0.06	8%	5 Aug →
dust2	4–13	-0.00	19%	5 Aug →
cache	13–8	0.06	25%	5 Aug →
mirage	7–13	-0.03	8%	4 Aug →
cache	16–14	-0.06	19%	4 Aug →
cache	7–13	-0.06	11%	3 Aug →
ancient	9–13	0.06	15%	3 Aug →
anubis	2–13	-0.06	0%	3 Aug →
dust2	6–13	-0.04	10%	3 Aug →
nuke	9–13	-0.02	14%	2 Aug →
inferno	13–9	-0.00	6%	31 Jul →
dust2	13–8	0.03	31%	30 Jul →
ancient	13–6	0.01	21%	29 Jul →
mirage	3–7	0.06	9%	29 Jul →
dust2	15–15	0.04	19%	29 Jul →
nuke	13–4	0.01	9%	28 Jul →
mirage	13–4	0.03	26%	28 Jul →
anubis	13–7	-0.06	13%	27 Jul →
dust2	13–11	-0.01	25%	27 Jul →
nuke	9–13	-0.06	19%	27 Jul →
mirage	13–10	-0.03	22%	27 Jul →
dust2	13–9	0.05	16%	27 Jul →
cache	14–16	-0.04	9%	27 Jul →
mirage	8–13	-0.02	13%	26 Jul →
dust2	9–13	0.03	13%	23 Jul →
mirage	14–16	0.03	18%	22 Jul →
anubis	13–5	0.06	12%	22 Jul →
nuke	13–10	0.02	11%	22 Jul →
nuke	13–10	0.07	12%	22 Jul →
mirage	5–13	-0.05	11%	22 Jul →
mirage	11–13	-0.08	10%	22 Jul →
nuke	8–13	0.02	23%	21 Jul →
nuke	10–13	0.02	13%	21 Jul →
dust2	7–13	-0.02	25%	21 Jul →
dust2	13–10	-0.02	9%	21 Jul →
mirage	10–13	-0.02	19%	21 Jul →
anubis	9–13	-0.01	12%	21 Jul →
dust2	13–7	-0.04	16%	21 Jul →
cache	5–13	-0.03	10%	21 Jul →
dust2	13–10	-0.02	2%	21 Jul →
dust2	13–16	0.01	15%	21 Jul →
nuke	3–13	-0.11	23%	21 Jul →
cache	6–13	-0.08	43%	21 Jul →
inferno	7–13	-0.06	9%	21 Jul →
cache	9–13	-0.04	23%	21 Jul →
cache	2–13	-0.08	0%	20 Jul →
dust2	16–14	-0.04	10%	20 Jul →
dust2	13–11	-0.08	13%	20 Jul →
nuke	6–13	-0.04	6%	20 Jul →
nuke	13–2	0.05	13%	20 Jul →
dust2	15–15	0.04	16%	20 Jul →
mirage	9–13	-0.08	17%	20 Jul →
cache	13–11	-0.04	6%	19 Jul →
cache	3–13	-0.02	28%	19 Jul →
mirage	12–1	0.09	7%	19 Jul →
nuke	2–13	-0.07	26%	19 Jul →
cache	10–13	0.06	9%	19 Jul →
mirage	13–11	0.00	22%	19 Jul →
mirage	15–15	-0.02	15%	19 Jul →
inferno	5–13	-0.09	23%	19 Jul →
mirage	1–13	0.01	15%	18 Jul →
mirage	13–4	0.10	25%	18 Jul →
dust2	13–0	-0.03	27%	18 Jul →
ancient	13–2	0.07	0%	18 Jul →
cache	13–16	-0.07	3%	18 Jul →
mirage	13–8	0.01	8%	18 Jul →
ancient	6–13	0.01	16%	18 Jul →
cache	13–10	0.05	20%	18 Jul →
mirage	5–13	-0.07	20%	18 Jul →
mirage	11–13	-0.03	8%	17 Jul →
mirage	13–9	0.01	13%	17 Jul →
mirage	13–10	-0.03	15%	17 Jul →
nuke	8–13	-0.02	15%	17 Jul →
dust2	13–3	0.02	21%	17 Jul →
nuke	13–16	-0.05	25%	16 Jul →
dust2	13–4	0.01	18%	16 Jul →
dust2	13–3	-0.05	20%	16 Jul →
dust2	13–6	0.02	16%	16 Jul →
mirage	3–13	-0.09	38%	16 Jul →
fachwerk	13–9	0.07	16%	16 Jul →
mirage	15–15	-0.08	20%	16 Jul →
mirage	4–13	-0.10	21%	15 Jul →
nuke	13–11	0.03	23%	15 Jul →
cache	13–1	-0.02	6%	15 Jul →
dust2	13–5	-0.01	33%	15 Jul →
dust2	9–13	-0.03	14%	15 Jul →
mirage	5–13	-0.05	17%	15 Jul →
cache	13–8	0.08	15%	15 Jul →
mirage	13–3	0.07	15%	15 Jul →
inferno	13–10	0.01	19%	14 Jul →
cache	13–10	0.03	12%	14 Jul →
dust2	9–13	0.00	22%	14 Jul →
nuke	13–9	0.05	16%	14 Jul →
nuke	10–5	0.07	12%	14 Jul →
mirage	11–13	0.01	11%	14 Jul →
mirage	13–4	0.02	26%	14 Jul →
nuke	3–13	-0.03	15%	14 Jul →
dust2	13–8	0.07	27%	14 Jul →
cache	13–3	0.11	15%	14 Jul →