manta Brit — CS2 Stats

CA76561198170015709[U:1:209749981]Steam profile ↗

399Tracked matches57%Win rate2025Tracked since

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating16,273Purple band · top ~23.3% of ranked players (population est.)

CSDB Leaderboard#9581 of 15711 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning51

Utility54

0–100 skill scores via Leetify.

Recent form

COLD51–47–2Last 10051%Win rateLWLWLWLLLL

Last 10 vs previous 10: -40pp win rate · +0.00 avg rating

Player DNA

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

Aim7.6

Aggression6.0

Utility5.4

Positioning5.1

Opening Duels2.0

Clutch4.2

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 NiKo 90% playstyle similarity

Most alike: opening-duel success, utility contribution.

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 46% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms 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

Aim7.6

Positioning5.1

Utility5.4

Mechanics7.0

Opening Duels2.0

Win Impact7.4

Composite 6.1/10 (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-0.01+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time564ms−79ms

first ⅓ avg 643ms → last ⅓ avg 564ms

Headshot accuracy15.9%+0.8%

first ⅓ avg 15.0% → last ⅓ avg 15.9%

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

0.16Best rating — nuke 13–7

13–1Biggest win — anubis

5Longest win streak

9–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 70% over 10overpassWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	24	10–14	42%	-0.03
dust2	B	15	7–8	47%	-0.02
ancient	A	14	9–5	64%	0.00
cache	A	12	7–5	58%	0.01
anubis	S	10	7–3	70%	0.02
nuke	S	9	6–3	67%	0.00
overpass	D	8	2–6	25%	-0.06
inferno	C	7	3–4	43%	0.03
debris	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

82Matches

39%Win rate

1.00Avg K/D

75.0ADR

41%Headshot %

Clutches & streaks

41%1v1 clutch win

19%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	25	32%	0.91	12.2
Dust2	20	20%	1.01	13.6
Ancient	15	53%	0.95	13.7
Nuke	12	58%	1.23	14.8
Inferno	4	50%	0.91	15.5
Anubis	3	33%	1.33	16.3
Overpass	2	50%	0.73	9.5
Train	1	100%	0.68	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.

16.4%Headshot accuracy

36.5%Accuracy (enemy spotted)

39.3%Spray accuracy

81.7%Counter-strafing

9.5°Preaim

563msReaction time

30.6%T opening success

45.7%CT opening success

0.52Enemies flashed / flash

4.8%Flash assists

7.07HE damage / grenade

12.35Flashes / 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 30.5553% — below the 40% mark we flag

Spend your practice time on Overpass

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	4–13	-0.01	21%	28 Aug →
mirage	13–10	-0.05	19%	26 Aug →
dust2	6–13	-0.04	15%	26 Aug →
nuke	13–7	0.16	17%	26 Aug →
dust2	7–13	-0.01	16%	26 Aug →
cache	13–6	-0.04	21%	25 Aug →
dust2	3–13	-0.06	26%	25 Aug →
mirage	6–13	-0.07	13%	25 Aug →
inferno	9–13	-0.01	23%	23 Aug →
anubis	5–13	-0.02	17%	23 Aug →
ancient	13–11	-0.01	21%	23 Aug →
mirage	16–12	-0.05	15%	22 Aug →
nuke	5–9	-0.20	7%	22 Aug →
mirage	13–10	-0.02	9%	19 Aug →
nuke	14–16	-0.02	8%	19 Aug →
cache	13–6	0.01	16%	18 Aug →
nuke	13–9	0.04	22%	18 Aug →
ancient	11–13	-0.03	18%	17 Aug →
mirage	13–8	0.01	8%	17 Aug →
anubis	13–6	0.09	8%	17 Aug →
mirage	13–16	0.02	15%	17 Aug →
nuke	13–10	0.02	17%	17 Aug →
cache	11–13	0.05	22%	17 Aug →
inferno	13–6	0.03	18%	14 Aug →
nuke	13–11	0.01	23%	12 Aug →
inferno	13–7	0.08	10%	12 Aug →
cache	13–16	-0.00	12%	11 Aug →
mirage	15–15	-0.08	18%	11 Aug →
ancient	13–10	-0.02	12%	10 Aug →
ancient	12–12	-0.04	13%	10 Aug →
dust2	13–11	-0.02	22%	9 Aug →
ancient	8–13	-0.03	8%	9 Aug →
mirage	13–8	0.01	13%	9 Aug →
anubis	13–11	-0.02	7%	8 Aug →
cache	4–13	-0.04	12%	8 Aug →
nuke	13–11	0.04	13%	8 Aug →
anubis	13–1	0.10	27%	8 Aug →
dust2	13–9	0.01	16%	7 Aug →
ancient	13–9	0.06	9%	7 Aug →
cache	14–16	-0.00	23%	7 Aug →
cache	13–5	0.05	22%	7 Aug →
mirage	4–13	-0.08	15%	7 Aug →
cache	13–9	0.08	18%	7 Aug →
inferno	6–13	-0.04	20%	7 Aug →
ancient	13–10	0.06	15%	4 Aug →
mirage	13–3	-0.03	8%	4 Aug →
anubis	8–13	0.01	19%	30 Jul →
nuke	13–11	-0.01	28%	28 Jul →
anubis	13–8	-0.01	13%	28 Jul →
mirage	7–13	0.02	14%	28 Jul →
ancient	13–1	0.13	14%	28 Jul →
cache	13–9	0.05	13%	28 Jul →
dust2	13–11	-0.02	23%	28 Jul →
anubis	13–8	0.04	18%	27 Jul →
cache	13–6	-0.02	7%	27 Jul →
cache	7–13	-0.01	16%	23 Jul →
cache	13–11	0.00	22%	23 Jul →
dust2	13–9	-0.01	14%	22 Jul →
dust2	2–13	-0.02	20%	22 Jul →
mirage	7–13	-0.02	19%	22 Jul →
mirage	6–2	-0.04	20%	21 Jul →
ancient	13–6	0.04	16%	21 Jul →
mirage	10–13	-0.08	10%	21 Jul →
debris	5–9	0.01	15%	21 Jul →
inferno	13–7	0.11	21%	21 Jul →
inferno	6–9	0.04	23%	21 Jul →
inferno	7–9	-0.02	16%	20 Jul →
dust2	13–8	0.01	16%	17 Jul →
mirage	4–13	-0.06	13%	14 Jul →
mirage	14–16	0.01	24%	15 May →
dust2	5–13	-0.05	18%	15 May →
overpass	6–13	-0.09	19%	15 May →
mirage	3–13	-0.07	16%	14 May →
overpass	3–13	-0.04	18%	12 May →
ancient	13–5	0.04	18%	12 May →
mirage	9–13	-0.10	4%	12 May →
mirage	9–13	-0.08	18%	6 May →
mirage	13–4	0.01	18%	6 May →
dust2	7–13	0.03	21%	6 May →
nuke	8–13	-0.04	14%	28 Apr →
mirage	3–13	-0.03	13%	28 Apr →
overpass	4–13	0.01	22%	28 Apr →
anubis	2–13	-0.09	24%	28 Apr →
ancient	13–10	0.02	12%	27 Apr →
overpass	2–13	-0.09	8%	27 Apr →
ancient	16–13	-0.04	10%	27 Apr →
dust2	11–13	0.02	22%	27 Apr →
mirage	13–11	0.02	21%	26 Apr →
dust2	13–4	-0.04	16%	26 Apr →
overpass	7–13	-0.09	11%	26 Apr →
ancient	2–13	-0.10	13%	26 Apr →
anubis	13–9	-0.01	8%	26 Apr →
mirage	13–8	0.06	14%	26 Apr →
overpass	13–8	-0.04	18%	23 Apr →
overpass	16–12	-0.08	3%	23 Apr →
dust2	13–10	0.01	24%	22 Apr →
overpass	11–13	-0.08	8%	22 Apr →
anubis	13–5	0.11	16%	22 Apr →
dust2	7–13	-0.05	10%	22 Apr →
ancient	6–13	-0.05	8%	22 Apr →