Ex3rcice — CS2 Stats

PRO“Kylian Mbappé”3DMAXFranceRiflerSettings & gear profile →

76561198168198200[U:1:207932472]Steam profile ↗✓ No bans

3,246Tracked matches67%Win rate2020Tracked since

CSDB Rating7.4 StrongHybrid Rifler

FaceitLevel 10 · 3,864 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning59

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateLLWWLLWWWW

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

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

Aim9.1

Aggression6.0

Utility6.4

Positioning5.9

Opening Duels1.8

Clutch3.8

Sharp aimer

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 96% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim9.1

Positioning5.9

Utility6.4

Mechanics6.4

Opening Duels1.8

Win Impact10.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time438ms−84ms

first ⅓ avg 521ms → last ⅓ avg 438ms

Headshot accuracy19.2%−5.0%

first ⅓ avg 24.2% → last ⅓ avg 19.2%

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

0.10Best rating — ancient 13–5

13–2Biggest win — nuke

16Longest win streak

L2Current streak

6–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 80% over 5dust2Weakest map · 36% over 25

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	9–16	36%	-0.01
ancient	B	22	10–12	45%	-0.02
inferno	S	16	11–5	69%	0.00
nuke	A	16	10–6	63%	0.01
mirage	S	9	6–3	67%	0.01
anubis	S	5	4–1	80%	0.01
cache	—	4	3–1	75%	-0.02
overpass	—	3	2–1	67%	0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,795Matches

61%Win rate

1.39Avg K/D

87.9ADR

56%Headshot %

Clutches & streaks

39%1v1 clutch win

28%1v2 clutch win

17Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	239	61%	1.43	19.2
Anubis	204	66%	1.36	18.3
Dust2	138	59%	1.28	17.8
Inferno	96	62%	1.39	18.0
Nuke	69	55%	1.17	16.4
Vertigo	51	65%	1.35	18.7
Overpass	45	62%	1.25	19.0
Mirage	44	61%	1.45	17.9

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$9,571Inventory value73ItemsFull inventory breakdown →

$1,703

$1,514

$636

$544

$458

$448

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.4%Headshot accuracy

41.2%Accuracy (enemy spotted)

48.8%Spray accuracy

78.7%Counter-strafing

10.5°Preaim

434msReaction time

40.1%T opening success

34.1%CT opening success

0.65Enemies flashed / flash

8.9%Flash assists

7.97HE damage / grenade

9.98Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 34.0528% — 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.

36% win rate across 25 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	9–13	-0.01	19%	23 Aug →
ancient	2–13	-0.02	35%	23 Aug →
cache	13–10	0.03	17%	20 Aug →
inferno	13–10	-0.01	24%	20 Aug →
mirage	9–13	-0.02	18%	20 Aug →
dust2	9–13	0.01	16%	20 Aug →
dust2	13–6	0.03	18%	19 Aug →
mirage	13–8	-0.03	19%	19 Aug →
mirage	13–9	0.04	16%	17 Aug →
inferno	13–10	-0.04	16%	17 Aug →
nuke	19–16	-0.01	17%	13 Aug →
mirage	13–7	-0.01	21%	13 Aug →
ancient	13–9	0.03	21%	12 Aug →
mirage	13–7	0.09	16%	12 Aug →
nuke	13–10	0.06	18%	10 Aug →
inferno	19–17	-0.01	14%	10 Aug →
ancient	13–3	-0.01	5%	10 Aug →
ancient	13–11	-0.03	18%	10 Aug →
ancient	13–5	0.10	22%	9 Aug →
mirage	13–3	0.03	24%	9 Aug →
mirage	13–9	-0.02	18%	9 Aug →
ancient	13–6	-0.04	28%	9 Aug →
dust2	7–13	0.01	25%	7 Aug →
mirage	14–16	-0.00	22%	7 Aug →
cache	13–9	-0.01	19%	5 Aug →
dust2	11–13	-0.02	23%	4 Aug →
nuke	6–13	-0.02	19%	1 Aug →
inferno	6–13	-0.05	15%	23 Jul →
nuke	8–13	0.02	26%	23 Jul →
cache	13–7	-0.06	20%	23 Jul →
cache	7–13	-0.04	15%	19 Jul →
dust2	13–10	-0.04	12%	19 Jul →
anubis	16–13	0.01	16%	19 Jul →
inferno	13–9	0.04	28%	13 Jul →
dust2	13–9	-0.01	25%	28 May →
ancient	9–13	-0.09	16%	27 May →
dust2	6–13	0.02	48%	23 May →
nuke	11–13	-0.04	17%	21 May →
anubis	9–13	-0.02	32%	20 May →
dust2	7–13	0.01	20%	27 Apr →
dust2	1–13	-0.07	32%	15 Apr →
inferno	6–13	-0.01	16%	15 Apr →
ancient	13–5	0.01	27%	14 Apr →
nuke	13–9	0.05	27%	14 Apr →
nuke	3–5	-0.05	38%	14 Apr →
ancient	1–13	-0.05	9%	13 Apr →
ancient	2–13	-0.09	0%	11 Apr →
inferno	5–13	-0.02	24%	11 Apr →
dust2	11–13	-0.02	29%	10 Apr →
overpass	10–13	-0.03	15%	10 Apr →
ancient	16–13	0.00	23%	9 Apr →
nuke	13–9	0.00	13%	9 Apr →
inferno	9–13	-0.05	12%	9 Apr →
inferno	13–9	0.01	17%	7 Apr →
dust2	13–9	0.06	17%	7 Apr →
inferno	13–3	0.07	22%	6 Apr →
nuke	13–6	0.04	23%	6 Apr →
ancient	11–13	-0.03	13%	6 Apr →
dust2	10–13	-0.02	15%	5 Apr →
ancient	19–16	-0.01	22%	5 Apr →
anubis	13–8	0.03	38%	5 Apr →
ancient	6–13	-0.04	26%	4 Apr →
dust2	13–9	0.00	21%	4 Apr →
inferno	7–13	-0.05	23%	4 Apr →
ancient	3–13	-0.05	21%	2 Apr →
inferno	13–8	0.05	27%	2 Apr →
dust2	3–13	-0.06	43%	2 Apr →
ancient	3–13	-0.05	21%	2 Apr →
inferno	13–8	0.05	27%	2 Apr →
dust2	3–13	-0.06	43%	2 Apr →
dust2	3–13	-0.06	43%	2 Apr →
ancient	3–13	-0.05	21%	2 Apr →
inferno	13–8	0.05	27%	2 Apr →
ancient	13–6	0.03	16%	2 Apr →
nuke	7–13	-0.04	30%	2 Apr →
dust2	5–13	-0.02	18%	2 Apr →
dust2	5–13	-0.02	18%	2 Apr →
ancient	13–6	0.03	16%	2 Apr →
nuke	7–13	-0.04	30%	2 Apr →
ancient	8–13	-0.02	17%	1 Apr →
nuke	13–11	0.00	23%	1 Apr →
dust2	13–9	0.01	24%	1 Apr →
dust2	13–9	0.01	24%	1 Apr →
ancient	8–13	-0.02	17%	1 Apr →
nuke	13–11	0.00	23%	1 Apr →
dust2	13–6	-0.02	18%	1 Apr →
overpass	16–13	0.01	22%	1 Apr →
dust2	13–6	-0.02	18%	1 Apr →
overpass	16–13	0.01	22%	1 Apr →
anubis	16–13	0.02	26%	31 Mar →
anubis	16–13	0.02	26%	31 Mar →
dust2	9–13	-0.04	28%	31 Mar →
dust2	9–13	-0.04	28%	31 Mar →
inferno	13–11	-0.01	25%	31 Mar →
inferno	13–11	-0.01	25%	31 Mar →
nuke	13–2	0.07	29%	31 Mar →
nuke	13–2	0.07	29%	31 Mar →
ancient	10–13	0.03	20%	24 Mar →
nuke	13–5	-0.02	25%	24 Mar →
dust2	11–13	0.04	21%	24 Mar →