MOTOR — CS2 Stats

76561197976220675[U:1:15954947]

2,976Tracked matches45%Win rate2020Tracked since

CSDB Rating6.2 SolidHybrid Rifler

FaceitLevel 10 · 2,609 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning77

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY42–56–2Last 10042%Win rateWWWWLLLLWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.3

Aggression10.0

Utility6.9

Positioning7.7

Opening Duels5.8

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 s1mple 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Strengths

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 67% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim6.3

Positioning7.7

Utility6.9

Mechanics4.9

Opening Duels5.8

Win Impact3.3

Composite 6.2/10 (Solid), 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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time592ms−10ms

first ⅓ avg 603ms → last ⅓ avg 592ms

Headshot accuracy23.8%−0.5%

first ⅓ avg 24.3% → last ⅓ avg 23.8%

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

0.15Best rating — anubis 13–4

13–2Biggest win — anubis

4Longest win streak

W4Current streak

5–14In matches decided by ≤2 rounds

16Overtime games

Map breakdown

mirageBest map · 60% over 10overpassWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	21	9–12	43%	0.01
ancient	C	16	7–9	44%	0.00
inferno	C	16	7–9	44%	0.02
dust2	D	13	4–9	31%	0.01
anubis	A	11	6–5	55%	0.01
mirage	A	10	6–4	60%	0.03
overpass	D	10	3–7	30%	0.02
cache	—	2	0–2	0%	0.01
train	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,519Matches

51%Win rate

1.15Avg K/D

79.3ADR

47%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	211	57%	1.18	17.5
Ancient	195	53%	1.14	16.4
Inferno	164	53%	1.12	16.4
Nuke	164	57%	1.17	16.4
Mirage	117	41%	1.01	15.3
Dust2	105	47%	1.04	15.8
Overpass	49	55%	1.25	16.2
Train	38	61%	1.25	16.4

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.

23.0%Headshot accuracy

33.3%Accuracy (enemy spotted)

37.4%Spray accuracy

71.9%Counter-strafing

11.7°Preaim

579msReaction time

39.8%T opening success

66.8%CT opening success

0.61Enemies flashed / flash

10.1%Flash assists

10.01HE damage / grenade

11.04Flashes / 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 39.7532% — 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.

30% win rate across 10 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
anubis	16–12	-0.01	35%	27 Jul →
nuke	16–12	-0.04	17%	25 Jul →
ancient	13–4	0.03	25%	25 Jul →
dust2	13–6	-0.04	19%	25 Jul →
dust2	8–13	-0.01	21%	24 Jun →
ancient	7–13	-0.02	21%	24 Jun →
ancient	11–13	-0.03	13%	23 Jun →
dust2	11–13	0.08	22%	20 Jun →
ancient	13–6	0.02	22%	20 Jun →
ancient	13–7	-0.02	19%	19 Jun →
mirage	13–8	0.05	14%	16 Jun →
inferno	13–4	0.03	30%	16 Jun →
anubis	9–13	-0.01	22%	16 Jun →
nuke	5–13	-0.00	30%	14 Jun →
anubis	9–13	-0.04	26%	14 Jun →
inferno	13–5	0.02	21%	13 Jun →
nuke	8–13	-0.03	13%	29 May →
nuke	13–8	0.01	22%	14 May →
ancient	10–13	0.03	19%	14 May →
inferno	10–13	0.00	26%	14 May →
nuke	16–14	0.02	28%	6 May →
overpass	8–13	0.03	21%	3 May →
inferno	11–13	0.08	27%	3 May →
overpass	13–4	0.06	23%	3 May →
overpass	9–13	-0.05	27%	2 May →
overpass	14–16	0.03	27%	1 May →
inferno	15–15	0.04	37%	1 May →
nuke	14–16	0.00	17%	1 May →
cache	7–13	0.02	18%	30 Apr →
nuke	13–7	0.08	25%	30 Apr →
cache	7–13	-0.00	43%	28 Apr →
anubis	13–2	-0.07	29%	28 Apr →
dust2	13–7	0.07	30%	28 Apr →
dust2	13–11	0.07	26%	28 Apr →
dust2	11–13	-0.02	24%	27 Apr →
mirage	8–13	0.01	22%	26 Apr →
ancient	7–13	-0.04	21%	26 Apr →
ancient	15–19	-0.05	18%	20 Apr →
inferno	7–13	-0.00	24%	20 Apr →
ancient	13–9	0.03	26%	20 Apr →
dust2	7–13	-0.06	26%	18 Apr →
inferno	10–13	0.02	19%	18 Apr →
nuke	5–13	0.03	26%	18 Apr →
ancient	13–16	0.01	8%	18 Apr →
dust2	13–11	0.03	22%	18 Apr →
nuke	15–15	0.11	23%	3 Apr →
mirage	9–13	0.12	35%	3 Apr →
nuke	10–13	0.01	26%	2 Apr →
anubis	13–8	0.01	22%	2 Apr →
inferno	2–13	-0.06	22%	2 Apr →
ancient	13–11	0.02	14%	2 Apr →
dust2	11–13	0.00	23%	2 Apr →
nuke	6–13	-0.07	13%	2 Apr →
mirage	6–13	-0.06	10%	1 Apr →
dust2	5–13	-0.02	46%	1 Apr →
ancient	1–13	0.02	18%	1 Apr →
inferno	13–8	0.00	26%	1 Apr →
inferno	13–9	0.04	22%	1 Apr →
anubis	1–13	-0.08	13%	1 Apr →
overpass	7–13	0.02	14%	1 Apr →
overpass	12–16	-0.01	30%	31 Mar →
nuke	10–13	-0.08	14%	30 Mar →
overpass	9–13	0.04	15%	30 Mar →
nuke	3–13	-0.03	22%	30 Mar →
ancient	13–6	0.02	33%	26 Mar →
ancient	10–13	-0.04	26%	25 Mar →
overpass	11–13	0.03	29%	25 Mar →
anubis	11–13	0.04	27%	24 Mar →
nuke	13–9	-0.01	17%	24 Mar →
dust2	14–16	0.06	20%	23 Mar →
inferno	13–7	0.11	24%	23 Mar →
overpass	13–3	0.07	20%	23 Mar →
mirage	16–12	0.03	24%	23 Mar →
dust2	8–13	-0.02	22%	19 Mar →
nuke	13–4	-0.05	19%	19 Mar →
mirage	13–5	0.01	30%	19 Mar →
nuke	8–13	0.09	25%	19 Mar →
anubis	11–13	0.01	22%	19 Mar →
inferno	13–7	0.07	25%	19 Mar →
mirage	14–16	0.01	23%	18 Mar →
anubis	13–2	0.04	25%	18 Mar →
inferno	2–13	-0.00	41%	18 Mar →
ancient	9–13	0.00	30%	18 Mar →
mirage	13–10	0.13	23%	18 Mar →
overpass	19–17	0.03	24%	17 Mar →
nuke	16–13	-0.01	22%	17 Mar →
nuke	14–16	0.03	24%	17 Mar →
dust2	6–13	-0.05	20%	17 Mar →
nuke	13–8	0.05	30%	15 Mar →
inferno	7–13	-0.04	21%	13 Mar →
inferno	6–13	0.03	18%	12 Mar →
mirage	13–10	0.02	31%	12 Mar →
nuke	2–13	-0.04	25%	12 Mar →
anubis	13–9	0.01	27%	12 Mar →
ancient	13–8	0.07	27%	11 Mar →
train	11–13	0.03	26%	11 Mar →
mirage	13–4	0.00	29%	11 Mar →
inferno	13–5	0.06	21%	11 Mar →
anubis	13–4	0.15	22%	11 Mar →
nuke	13–6	0.12	20%	11 Mar →