JULIO11174 — CS2 Stats

76561198107539101[U:1:147273373]

993Tracked matches50%Win rate2020Tracked since

CSDB Rating4.3 Developing

FaceitLevel 8 · 1,642 ELOTop 31.2% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim52

Positioning43

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateTLWLLWLWWW

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

Player DNA

Aim5.2

Aggression3.2

Utility6.0

Positioning4.3

Opening Duels0.1

Clutch2.6

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 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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 42% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Positioning4.3

Utility6.0

Mechanics3.9

Opening Duels1.5

Win Impact5.0

Composite 4.3/10 (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-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time651ms−61ms

first ⅓ avg 713ms → last ⅓ avg 651ms

Headshot accuracy22.5%−0.8%

first ⅓ avg 23.4% → last ⅓ avg 22.5%

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

0.12Best rating — anubis 13–4

13–2Biggest win — inferno

8Longest win streak

5–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 82% over 11ancientWeakest map · 14% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	39	22–17	56%	0.00
ancient	D	14	2–12	14%	-0.01
overpass	C	14	6–8	43%	-0.01
anubis	C	11	4–7	36%	-0.00
nuke	S	11	9–2	82%	0.00
dust2	—	3	1–2	33%	-0.06
cache	—	3	2–1	67%	0.04
mirage	—	2	1–1	50%	0.00
train	—	2	2–0	100%	-0.02
poseidon	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

290Matches

51%Win rate

1.06Avg K/D

76.0ADR

53%Headshot %

Clutches & streaks

33%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	85	55%	1.12	15.4
Anubis	50	56%	1.02	14.7
Ancient	48	42%	1.00	14.8
Nuke	37	65%	1.04	16.2
Mirage	19	32%	0.98	13.9
Overpass	18	50%	1.16	14.7
Dust2	12	50%	0.96	14.8
Train	9	33%	1.06	15.2

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.

20.9%Headshot accuracy

31.4%Accuracy (enemy spotted)

37.5%Spray accuracy

67.6%Counter-strafing

10.5°Preaim

649msReaction time

19.1%T opening success

41.8%CT opening success

0.47Enemies flashed / flash

7.6%Flash assists

7.14HE damage / grenade

14.41Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4688 — below the 0.5 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 19.1491% — below the 40% mark we flag

Spend your practice time on Ancient

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

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	15–15	-0.01	12%	12 Aug →
anubis	10–13	-0.04	13%	12 Aug →
dust2	13–10	-0.06	24%	10 Aug →
mirage	8–13	0.02	15%	10 Aug →
inferno	10–13	0.01	28%	4 Aug →
mirage	13–9	-0.02	14%	4 Aug →
ancient	7–13	-0.03	42%	4 Aug →
anubis	13–4	0.12	32%	4 Aug →
inferno	13–11	-0.01	20%	9 Jul →
cache	16–14	0.01	15%	9 Jul →
cache	11–13	0.04	18%	4 Jul →
overpass	8–13	-0.12	37%	4 Jul →
anubis	5–13	-0.03	19%	4 Jul →
cache	13–8	0.07	26%	29 Apr →
anubis	11–13	-0.03	18%	21 Apr →
inferno	13–4	-0.02	20%	15 Apr →
inferno	15–15	-0.01	18%	14 Apr →
inferno	7–13	0.02	32%	13 Apr →
overpass	16–12	-0.04	12%	13 Apr →
inferno	12–16	-0.03	27%	30 Mar →
nuke	13–10	0.02	18%	30 Mar →
inferno	13–9	0.03	29%	27 Mar →
inferno	13–3	0.04	21%	24 Mar →
overpass	2–13	-0.07	9%	24 Mar →
inferno	4–13	-0.01	17%	23 Mar →
inferno	9–13	-0.07	13%	20 Mar →
overpass	6–13	-0.05	16%	14 Mar →
inferno	13–7	0.08	33%	14 Mar →
inferno	9–3	0.10	33%	6 Mar →
overpass	13–8	0.02	19%	24 Feb →
nuke	13–6	-0.03	16%	24 Feb →
nuke	7–13	0.02	57%	24 Feb →
inferno	13–9	0.01	18%	22 Feb →
anubis	11–13	-0.01	24%	17 Feb →
inferno	8–8	-0.04	20%	17 Feb →
overpass	8–13	-0.00	20%	17 Feb →
inferno	13–9	-0.02	35%	14 Feb →
inferno	6–9	-0.03	0%	11 Feb →
inferno	9–4	0.06	0%	11 Feb →
anubis	10–13	-0.07	10%	6 Feb →
inferno	16–13	0.02	8%	5 Feb →
inferno	13–8	-0.01	30%	5 Feb →
inferno	6–13	0.01	17%	4 Feb →
ancient	2–13	-0.01	3%	4 Feb →
nuke	13–8	-0.00	13%	4 Feb →
inferno	8–13	0.02	24%	4 Feb →
ancient	6–13	-0.04	15%	3 Feb →
overpass	8–13	-0.01	13%	3 Feb →
inferno	9–7	0.05	25%	3 Feb →
poseidon	6–9	-0.05	50%	3 Feb →
nuke	10–3	-0.01	25%	1 Feb →
inferno	8–2	-0.04	8%	1 Feb →
anubis	13–4	0.10	19%	31 Jan →
inferno	16–13	-0.04	20%	31 Jan →
inferno	13–5	0.00	24%	31 Jan →
anubis	13–7	-0.03	19%	31 Jan →
nuke	13–6	-0.04	6%	25 Jan →
inferno	13–5	-0.00	13%	25 Jan →
anubis	4–13	-0.07	13%	24 Jan →
overpass	13–6	0.04	9%	24 Jan →
anubis	13–9	0.05	17%	24 Jan →
ancient	13–3	0.07	24%	24 Jan →
ancient	6–13	-0.01	17%	24 Jan →
inferno	14–16	-0.03	22%	23 Jan →
inferno	13–6	-0.02	14%	23 Jan →
ancient	9–13	0.03	17%	18 Jan →
ancient	13–8	0.05	24%	18 Jan →
dust2	15–15	-0.06	21%	16 Jan →
overpass	9–13	0.01	23%	14 Jan →
ancient	4–13	-0.04	18%	14 Jan →
inferno	13–6	0.04	33%	11 Jan →
nuke	13–7	0.02	26%	11 Jan →
dust2	15–15	-0.06	28%	8 Jan →
overpass	13–5	0.03	30%	3 Jan →
ancient	10–13	0.03	12%	3 Jan →
inferno	13–2	0.03	26%	3 Jan →
ancient	8–13	-0.03	39%	3 Jan →
inferno	13–3	-0.02	25%	2 Jan →
nuke	7–13	-0.02	52%	31 Dec →
ancient	7–13	-0.00	29%	31 Dec →
nuke	13–2	0.11	25%	27 Dec →
train	13–10	-0.01	22%	26 Dec →
inferno	13–6	0.03	14%	26 Dec →
inferno	8–13	-0.01	24%	25 Dec →
inferno	5–13	-0.00	17%	21 Dec →
inferno	15–15	0.01	26%	20 Dec →
overpass	15–15	0.02	28%	16 Dec →
inferno	9–13	-0.01	15%	16 Dec →
inferno	13–9	-0.00	30%	16 Dec →
ancient	8–13	0.01	10%	11 Dec →
inferno	11–13	-0.02	23%	9 Dec →
nuke	13–11	-0.03	15%	4 Dec →
nuke	13–10	-0.03	16%	4 Dec →
train	13–11	-0.02	21%	4 Dec →
inferno	10–13	0.04	21%	2 Dec →
overpass	10–13	-0.02	22%	27 Nov →
overpass	13–8	-0.03	17%	27 Nov →
ancient	7–13	-0.05	23%	27 Nov →
overpass	13–8	0.03	14%	26 Nov →
ancient	6–13	-0.07	22%	26 Nov →