JuSTiN — CS2 Stats

DE76561198970578707[U:1:1010312979]Steam profile ↗

1,272Tracked matches52%Win rate2021Tracked since

CSDB Rating4.8 DevelopingPassive Rifler

Premier CS Rating20,303Pink band · top ~8.2% of ranked players (population est.)

CSDB Leaderboard#10226 of 25510 tracked

FaceitLevel 6 · 1,434 ELOTop 54.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning41

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLLTWWLWWWL

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

Player DNA

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

Aim6.8

Aggression3.8

Utility4.7

Positioning4.1

Opening Duels0.1

Clutch0.2

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 82% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Counter-strafing. Only 66% 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

Aim6.8

Positioning4.1

Utility4.7

Mechanics3.6

Opening Duels0.8

Win Impact5.6

Composite 4.8/10 (Developing), 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 rating-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time514ms−119ms

first ⅓ avg 633ms → last ⅓ avg 514ms

Headshot accuracy18.5%+1.7%

first ⅓ avg 16.9% → last ⅓ avg 18.5%

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

0.14Best rating — inferno 9–3

13–0Biggest win — nuke

5Longest win streak

L2Current streak

6–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 57% over 23anubisWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	26	12–14	46%	-0.01
nuke	A	23	13–10	57%	0.01
ancient	B	11	5–6	45%	-0.01
office	A	7	4–3	57%	0.01
mirage	C	7	3–4	43%	-0.01
anubis	C	5	2–3	40%	-0.01
dust2	—	4	0–4	0%	0.00
vertigo	—	3	1–2	33%	0.02
stronghold	—	3	3–0	100%	0.04
cache	—	3	1–2	33%	-0.06
train	—	3	2–1	67%	-0.03
boulder	—	2	0–2	0%	-0.04
shelter	—	1	0–1	0%	-0.02
poseidon	—	1	1–0	100%	0.04
warden	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

84Matches

54%Win rate

0.82Avg K/D

64.2ADR

45%Headshot %

Clutches & streaks

21%1v1 clutch win

23%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	25	64%	0.84	13.6
Ancient	23	52%	0.82	12.2
Nuke	19	68%	0.86	12.4
Anubis	12	25%	0.72	11.4
Cache	2	0%	0.72	11.5
Overpass	1	0%	0.62	10.0
Mirage	1	100%	1.10	11.0
Dust2	1	0%	0.88	14.0

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.

19.3%Headshot accuracy

32.7%Accuracy (enemy spotted)

37.1%Spray accuracy

66.0%Counter-strafing

8.9°Preaim

513msReaction time

24.6%T opening success

36.5%CT opening success

0.40Enemies flashed / flash

5.2%Flash assists

5.55HE damage / grenade

7.18Flashes / 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 0.401 — 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 24.5643% — 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.

40% win rate across 5 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	9–13	-0.03	8%	28 Aug →
anubis	7–13	-0.01	29%	28 Aug →
office	12–12	-0.01	15%	27 Aug →
inferno	13–10	-0.03	17%	25 Aug →
nuke	13–9	0.03	36%	25 Aug →
ancient	7–13	-0.05	10%	22 Aug →
ancient	13–10	0.04	21%	22 Aug →
office	13–8	0.05	25%	22 Aug →
inferno	13–10	-0.06	35%	20 Aug →
mirage	8–13	-0.03	14%	20 Aug →
office	13–8	0.04	28%	20 Aug →
nuke	13–2	0.03	31%	19 Aug →
boulder	10–13	-0.06	5%	19 Aug →
inferno	9–3	0.12	20%	17 Aug →
inferno	9–2	0.09	11%	17 Aug →
nuke	16–12	-0.07	20%	16 Aug →
inferno	2–9	-0.11	20%	9 Aug →
inferno	6–9	-0.11	20%	9 Aug →
vertigo	13–4	0.13	24%	1 Aug →
vertigo	8–13	-0.07	22%	1 Aug →
nuke	7–9	-0.03	11%	31 Jul →
vertigo	7–13	0.00	18%	28 Jul →
ancient	8–13	-0.00	8%	28 Jul →
ancient	8–13	-0.07	9%	27 Jul →
nuke	6–13	-0.06	13%	27 Jul →
ancient	13–10	0.01	10%	26 Jul →
nuke	13–7	0.09	16%	25 Jul →
inferno	11–13	-0.02	16%	25 Jul →
ancient	13–9	0.00	16%	25 Jul →
nuke	13–9	-0.02	17%	21 Jul →
inferno	9–3	0.14	26%	21 Jul →
ancient	11–13	-0.01	21%	19 Jul →
anubis	13–6	0.02	22%	19 Jul →
office	12–12	0.05	29%	14 Jul →
office	9–13	-0.05	18%	12 Jul →
shelter	12–12	-0.02	31%	11 Jul →
boulder	9–13	-0.02	17%	11 Jul →
inferno	7–9	-0.07	15%	7 Jul →
stronghold	13–7	0.06	21%	5 Jul →
ancient	9–13	-0.04	12%	5 Jul →
nuke	13–0	0.03	24%	4 Jul →
ancient	16–12	0.04	21%	4 Jul →
nuke	10–13	0.03	11%	4 Jul →
cache	11–13	-0.02	12%	2 Jul →
office	13–5	-0.05	19%	2 Jul →
poseidon	9–2	0.04	12%	2 Jul →
nuke	16–12	0.01	18%	2 Jul →
dust2	10–13	0.02	17%	1 Jul →
cache	10–13	-0.11	10%	1 Jul →
cache	13–5	-0.06	21%	1 Jul →
nuke	13–9	0.05	21%	29 Jun →
inferno	9–6	0.01	9%	29 Jun →
office	13–4	0.04	9%	28 Jun →
inferno	13–7	-0.01	13%	28 Jun →
mirage	5–13	-0.02	16%	28 Jun →
stronghold	13–8	0.04	18%	28 Jun →
nuke	9–3	-0.09	20%	26 Jun →
mirage	7–13	-0.01	18%	26 Jun →
nuke	9–13	-0.05	16%	24 Jun →
train	13–10	-0.05	13%	23 Jun →
train	6–13	-0.07	14%	23 Jun →
train	13–11	0.01	8%	23 Jun →
warden	10–13	-0.03	9%	16 Jun →
stronghold	13–5	0.04	33%	16 Jun →
inferno	6–9	0.02	24%	14 Jun →
inferno	6–9	-0.05	19%	11 Jun →
nuke	9–7	0.11	15%	11 Jun →
ancient	16–14	0.04	22%	10 Jun →
inferno	1–6	0.04	15%	10 Jun →
mirage	3–7	-0.03	15%	10 Jun →
inferno	6–9	-0.04	19%	10 Jun →
inferno	15–15	0.00	10%	9 Jun →
dust2	9–13	0.02	26%	9 Jun →
nuke	9–4	0.09	11%	8 Jun →
inferno	4–9	-0.01	32%	7 Jun →
inferno	3–9	-0.16	26%	2 Jun →
nuke	7–9	-0.06	18%	1 Jun →
inferno	13–8	-0.02	25%	1 Jun →
dust2	9–13	-0.05	11%	1 Jun →
mirage	13–4	0.07	22%	31 May →
nuke	10–13	0.01	15%	30 May →
inferno	13–3	0.01	19%	30 May →
inferno	9–5	0.09	17%	29 May →
mirage	13–11	-0.05	17%	28 May →
inferno	7–9	-0.12	7%	28 May →
inferno	6–9	-0.05	8%	28 May →
inferno	9–2	0.04	25%	28 May →
nuke	7–9	0.12	27%	28 May →
anubis	7–13	-0.03	16%	27 May →
anubis	0–5	-0.04	0%	27 May →
anubis	13–11	-0.01	11%	27 May →
nuke	12–12	-0.01	13%	26 May →
inferno	9–6	0.06	9%	25 May →
nuke	12–12	0.01	16%	25 May →
nuke	13–10	-0.00	19%	25 May →
inferno	8–13	0.05	17%	24 May →
nuke	6–13	-0.04	9%	24 May →
mirage	13–3	-0.03	15%	24 May →
nuke	9–7	0.03	23%	24 May →
dust2	9–13	0.02	25%	24 May →