JustNash — CS2 Stats

US76561198117528377[U:1:157262649]Steam profile ↗✓ No bans

626Tracked matches33%Win rate2021Tracked since

CSDB Rating3.4 Learning

Premier CS Rating3,499Grey band · top ~85.2% of ranked players (population est.)

CSDB Leaderboard#23325 of 29970 tracked

WingmanSilver Elite

Ladder ranks via Leetify

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Performance scores

Aim36

Positioning54

Utility46

0–100 skill scores via Leetify.

Recent form

COLD41–55–4Last 10041%Win rateLLLWLWLTLW

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

Player DNA

Aim3.6

Aggression6.8

Utility4.6

Positioning5.4

Opening Duels2.7

Clutch1.0

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 ropz 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 50% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim3.6

Positioning5.4

Utility4.6

Mechanics4.1

Opening Duels2.7

Win Impact0.0

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time628ms−70ms

first ⅓ avg 698ms → last ⅓ avg 628ms

Headshot accuracy10.4%−3.2%

first ⅓ avg 13.6% → last ⅓ avg 10.4%

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 — shelter 13–5

13–2Biggest win — ancient

4Longest win streak

L3Current streak

7–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 50% over 14anubisWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	10–17	37%	-0.02
inferno	B	19	9–10	47%	-0.02
ancient	B	14	7–7	50%	-0.01
nuke	B	12	6–6	50%	-0.01
anubis	D	8	1–7	13%	-0.02
cache	D	7	2–5	29%	-0.02
dust2	—	4	1–3	25%	-0.05
vertigo	—	3	1–2	33%	-0.06
debris	—	2	1–1	50%	-0.00
overpass	—	2	1–1	50%	-0.06
shelter	—	1	1–0	100%	0.16
poseidon	—	1	1–0	100%	0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches

40%Win rate

0.69Avg K/D

62.7ADR

39%Headshot %

Clutches & streaks

25%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Cache	3	67%	0.60	10.0
Mirage	2	50%	0.90	12.5
Anubis	1	100%	0.61	11.0
Ancient	1	0%	0.75	12.0
Inferno	1	0%	0.62	10.0
Dust2	1	0%	0.48	11.0
Overpass	1	0%	0.85	11.0

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.

10.3%Headshot accuracy

36.0%Accuracy (enemy spotted)

27.8%Spray accuracy

68.5%Counter-strafing

11.7°Preaim

622msReaction time

31.2%T opening success

50.4%CT opening success

0.70Enemies flashed / flash

6.7%Flash assists

11.75HE damage / grenade

5.34Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.3136% — below the 15% mark we flag
Aim Training →
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 31.1623% — 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.

13% win rate across 8 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
nuke	8–13	0.02	11%	28 Aug →
mirage	11–13	0.01	10%	20 Aug →
cache	8–13	-0.01	9%	19 Aug →
shelter	13–5	0.16	17%	19 Aug →
nuke	10–13	-0.11	4%	17 Aug →
nuke	13–3	0.07	26%	17 Aug →
anubis	5–13	-0.05	7%	16 Aug →
vertigo	12–12	-0.06	17%	16 Aug →
anubis	9–13	0.02	10%	15 Aug →
ancient	13–7	0.04	0%	15 Aug →
ancient	7–13	-0.08	10%	14 Aug →
ancient	10–13	-0.02	18%	14 Aug →
nuke	13–7	-0.05	7%	14 Aug →
mirage	13–6	0.03	15%	14 Aug →
ancient	6–13	-0.01	15%	13 Aug →
mirage	6–13	-0.01	10%	12 Aug →
inferno	13–8	0.07	8%	12 Aug →
inferno	13–6	-0.05	11%	12 Aug →
cache	14–16	-0.00	15%	5 Aug →
inferno	4–13	-0.07	9%	5 Aug →
mirage	9–13	-0.07	12%	5 Aug →
mirage	13–3	0.08	14%	5 Aug →
anubis	6–13	-0.07	11%	2 Aug →
mirage	15–15	-0.03	10%	2 Aug →
nuke	9–13	-0.09	4%	2 Aug →
inferno	15–15	-0.04	13%	2 Aug →
inferno	10–13	-0.05	2%	2 Aug →
mirage	8–13	-0.03	2%	2 Aug →
dust2	10–13	-0.06	8%	2 Aug →
ancient	13–8	0.01	7%	2 Aug →
nuke	10–13	-0.08	8%	1 Aug →
ancient	13–3	0.01	14%	1 Aug →
cache	13–11	0.00	10%	1 Aug →
mirage	13–7	0.02	8%	1 Aug →
nuke	10–13	0.01	12%	1 Aug →
mirage	13–8	-0.03	15%	1 Aug →
anubis	9–13	0.00	16%	1 Aug →
ancient	13–9	0.04	19%	1 Aug →
mirage	4–13	0.02	13%	30 Jul →
mirage	13–4	-0.01	21%	30 Jul →
nuke	13–10	0.10	8%	30 Jul →
inferno	13–10	-0.01	0%	29 Jul →
dust2	13–11	-0.04	11%	29 Jul →
mirage	13–16	-0.06	8%	27 Jul →
ancient	8–13	-0.03	3%	27 Jul →
inferno	13–6	0.05	16%	27 Jul →
mirage	11–1	-0.03	10%	27 Jul →
mirage	10–13	-0.07	7%	26 Jul →
inferno	7–13	-0.06	12%	26 Jul →
nuke	10–3	-0.04	0%	26 Jul →
ancient	13–9	-0.08	3%	26 Jul →
mirage	13–6	-0.02	17%	26 Jul →
cache	13–11	-0.02	11%	26 Jul →
anubis	7–13	0.01	7%	26 Jul →
anubis	9–13	-0.07	8%	25 Jul →
ancient	13–3	-0.00	17%	25 Jul →
ancient	9–13	-0.01	11%	25 Jul →
mirage	16–13	-0.07	5%	25 Jul →
cache	8–13	0.00	13%	25 Jul →
dust2	8–13	-0.00	10%	25 Jul →
mirage	3–13	-0.03	20%	25 Jul →
mirage	8–13	-0.07	14%	25 Jul →
mirage	3–13	-0.06	8%	25 Jul →
ancient	8–13	-0.05	13%	24 Jul →
inferno	13–11	-0.05	8%	24 Jul →
cache	14–16	-0.06	3%	24 Jul →
mirage	13–11	-0.07	5%	23 Jul →
inferno	12–16	0.01	12%	22 Jul →
inferno	13–5	0.07	15%	22 Jul →
mirage	7–13	-0.02	16%	22 Jul →
inferno	9–2	0.00	0%	22 Jul →
mirage	7–13	0.05	8%	22 Jul →
inferno	13–11	0.03	11%	21 Jul →
inferno	13–7	-0.03	25%	20 Jul →
mirage	13–11	0.01	18%	20 Jul →
cache	7–13	-0.00	23%	20 Jul →
ancient	13–2	0.09	27%	20 Jul →
inferno	3–13	-0.05	5%	20 Jul →
ancient	7–13	-0.04	16%	19 Jul →
nuke	13–2	0.04	7%	19 Jul →
inferno	10–13	-0.07	13%	19 Jul →
vertigo	1–9	-0.20	11%	19 Jul →
debris	6–9	-0.06	6%	19 Jul →
debris	9–2	0.05	15%	19 Jul →
poseidon	9–5	0.13	7%	19 Jul →
vertigo	9–1	0.09	10%	19 Jul →
inferno	7–9	0.01	12%	19 Jul →
mirage	7–13	-0.08	14%	19 Jul →
anubis	16–13	0.00	9%	18 Jul →
mirage	11–13	-0.00	17%	18 Jul →
inferno	6–13	-0.00	7%	18 Jul →
mirage	5–13	-0.00	35%	5 Jul →
nuke	5–13	0.06	25%	5 Jul →
anubis	7–13	-0.03	6%	5 Jul →
overpass	13–8	-0.06	14%	3 Jul →
nuke	13–7	-0.06	8%	3 Jul →
dust2	6–13	-0.09	19%	3 Jul →
overpass	6–13	-0.05	9%	3 Jul →
inferno	8–8	-0.13	24%	3 Jul →
mirage	13–16	-0.02	7%	1 Jul →