If You Grab Me Imma Bite You — CS2 Stats

76561198813248906[U:1:852983178]

2,447Tracked matches43%Win rate2022Tracked since

CSDB Rating4.7 DevelopingSupport

Premier CS Rating12,668Blue band · top ~40.8% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim60

Positioning42

Utility73

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateLWLWLLLWWL

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

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim6.0

Aggression4.4

Utility7.3

Positioning4.2

Opening Duels1.4

Clutch6.2

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 NiKo 86% playstyle similarity

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

Where you differ: lower positioning profile; 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 45% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.0

Positioning4.2

Utility7.3

Mechanics5.3

Opening Duels1.8

Win Impact2.8

Composite 4.7/10 (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-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time519ms−55ms

first ⅓ avg 574ms → last ⅓ avg 519ms

Headshot accuracy15.7%+1.9%

first ⅓ avg 13.8% → 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

0.14Best rating — ancient 13–7

13–2Biggest win — ancient

6Longest win streak

8–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

cacheBest map · 70% over 10anubisWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	25	11–14	44%	0.00
inferno	A	17	10–7	59%	0.00
dust2	C	16	6–10	38%	-0.03
anubis	D	15	4–11	27%	0.01
mirage	B	10	5–5	50%	-0.02
cache	S	10	7–3	70%	0.00
nuke	S	6	4–2	67%	0.01
train	—	1	1–0	100%	0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

149Matches

51%Win rate

1.03Avg K/D

78.2ADR

41%Headshot %

Clutches & streaks

51%1v1 clutch win

28%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	31	45%	1.12	14.1
Ancient	24	71%	1.17	17.2
Inferno	23	61%	1.07	15.7
Anubis	20	60%	1.13	16.6
Dust2	20	30%	0.68	10.7
Cache	10	50%	1.14	15.0
Overpass	9	33%	0.95	15.3
Nuke	9	44%	0.88	13.7

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.

15.0%Headshot accuracy

32.3%Accuracy (enemy spotted)

35.9%Spray accuracy

73.7%Counter-strafing

10.9°Preaim

521msReaction time

26.4%T opening success

44.6%CT opening success

0.75Enemies flashed / flash

7.0%Flash assists

10.32HE damage / grenade

15.92Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.9511% — below the 15% mark we flag
Aim Training →
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 26.4332% — 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 15 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
ancient	6–13	-0.02	12%	28 Aug →
dust2	16–14	-0.07	11%	27 Aug →
mirage	6–13	-0.09	26%	26 Aug →
ancient	13–11	0.02	17%	26 Aug →
dust2	9–13	-0.07	7%	26 Aug →
ancient	11–13	-0.00	14%	24 Aug →
cache	1–13	-0.07	5%	24 Aug →
ancient	13–11	-0.05	5%	24 Aug →
train	13–3	0.13	19%	24 Aug →
ancient	5–13	-0.05	19%	22 Aug →
cache	13–9	0.05	16%	22 Aug →
mirage	13–5	0.04	27%	22 Aug →
inferno	1–13	-0.08	15%	21 Aug →
cache	13–10	-0.02	14%	21 Aug →
dust2	8–13	-0.07	16%	21 Aug →
ancient	6–13	-0.01	9%	21 Aug →
ancient	8–13	-0.02	18%	17 Aug →
mirage	6–13	-0.02	18%	17 Aug →
dust2	10–13	-0.11	21%	17 Aug →
anubis	16–14	-0.04	9%	17 Aug →
ancient	6–13	-0.00	17%	17 Aug →
inferno	13–5	0.02	13%	14 Aug →
mirage	13–3	-0.01	26%	14 Aug →
inferno	13–8	-0.02	12%	14 Aug →
anubis	14–16	0.05	8%	13 Aug →
dust2	4–8	-0.04	25%	13 Aug →
anubis	9–13	-0.04	18%	13 Aug →
inferno	13–8	0.05	11%	13 Aug →
dust2	5–13	0.01	25%	13 Aug →
inferno	13–7	-0.02	15%	13 Aug →
anubis	11–13	-0.02	13%	12 Aug →
ancient	13–6	0.06	25%	12 Aug →
anubis	15–15	-0.03	14%	12 Aug →
ancient	13–7	-0.04	21%	12 Aug →
mirage	13–4	0.09	15%	11 Aug →
ancient	13–7	0.14	17%	11 Aug →
dust2	14–16	-0.04	10%	11 Aug →
anubis	13–4	0.08	20%	11 Aug →
inferno	9–13	-0.03	15%	11 Aug →
anubis	6–13	0.01	20%	11 Aug →
dust2	3–13	-0.05	13%	11 Aug →
cache	13–8	-0.04	14%	11 Aug →
mirage	2–13	-0.00	22%	10 Aug →
ancient	13–2	0.07	16%	9 Aug →
inferno	15–15	0.01	15%	9 Aug →
ancient	8–13	-0.07	12%	9 Aug →
anubis	13–5	0.10	10%	3 Aug →
ancient	13–5	0.00	11%	3 Aug →
mirage	9–13	-0.06	36%	3 Aug →
cache	7–13	-0.01	19%	2 Aug →
ancient	5–13	-0.02	14%	2 Aug →
ancient	10–13	0.00	18%	31 Jul →
cache	13–4	0.06	13%	31 Jul →
ancient	13–8	0.01	8%	31 Jul →
mirage	13–11	-0.08	18%	30 Jul →
inferno	8–13	-0.03	18%	30 Jul →
inferno	13–4	0.08	16%	30 Jul →
cache	13–7	-0.00	15%	30 Jul →
dust2	13–9	0.05	19%	30 Jul →
anubis	3–13	0.05	15%	30 Jul →
inferno	13–7	0.04	16%	29 Jul →
anubis	14–16	-0.01	12%	29 Jul →
dust2	13–8	0.03	13%	29 Jul →
ancient	8–13	-0.02	28%	29 Jul →
nuke	14–16	-0.05	13%	29 Jul →
anubis	15–15	0.02	9%	29 Jul →
dust2	9–13	0.01	15%	29 Jul →
mirage	11–13	-0.04	13%	29 Jul →
dust2	10–13	0.00	18%	29 Jul →
ancient	7–13	-0.07	5%	28 Jul →
cache	2–13	-0.05	7%	28 Jul →
inferno	13–3	0.04	23%	28 Jul →
nuke	8–13	0.02	17%	28 Jul →
dust2	13–10	-0.06	13%	28 Jul →
inferno	13–6	0.03	13%	28 Jul →
inferno	13–2	0.01	29%	28 Jul →
cache	13–5	0.07	14%	28 Jul →
nuke	13–9	0.02	15%	28 Jul →
mirage	13–11	0.01	12%	28 Jul →
inferno	15–15	-0.02	21%	28 Jul →
ancient	1–13	0.02	10%	28 Jul →
dust2	5–13	-0.04	24%	28 Jul →
nuke	13–7	0.04	15%	27 Jul →
ancient	13–11	-0.01	20%	27 Jul →
cache	13–5	0.05	11%	27 Jul →
dust2	13–2	0.00	9%	27 Jul →
inferno	13–10	-0.00	16%	27 Jul →
inferno	6–13	-0.08	3%	26 Jul →
ancient	13–6	0.13	13%	26 Jul →
inferno	8–13	0.04	9%	26 Jul →
anubis	4–13	0.06	15%	26 Jul →
ancient	8–13	0.02	14%	26 Jul →
nuke	13–7	0.03	23%	26 Jul →
dust2	13–10	-0.00	10%	26 Jul →
ancient	16–13	-0.02	11%	26 Jul →
anubis	13–9	-0.02	13%	25 Jul →
ancient	0–13	-0.03	0%	25 Jul →
anubis	5–13	0.02	18%	25 Jul →
nuke	13–11	0.00	13%	25 Jul →
anubis	15–15	-0.03	11%	24 Jul →