JohnnyWrongHole — CS2 Stats

76561199143658726[U:1:1183392998]Steam profile ↗✓ No bans

849Tracked matches40%Win rate2023Tracked since

CSDB Rating3.5 Learning

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim33

Positioning37

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY39–55–6Last 10039%Win rateWLWLLWWLLL

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

Player DNA

Aim3.3

Aggression1.5

Utility5.5

Positioning3.7

Opening Duels0.0

Clutch0.6

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 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

Reaction time. 716ms 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

Aim3.3

Positioning3.7

Utility5.5

Mechanics5.2

Opening Duels0.3

Win Impact1.7

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time715ms+15ms

first ⅓ avg 700ms → last ⅓ avg 715ms

Headshot accuracy15.5%+0.2%

first ⅓ avg 15.4% → last ⅓ avg 15.5%

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

0.16Best rating — mirage 13–5

13–4Biggest win — dust2

7Longest win streak

4–11In matches decided by ≤2 rounds

4Overtime games

Map breakdown

overpassBest map · 60% over 5nukeWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	19	7–12	37%	-0.00
mirage	D	17	5–12	29%	0.00
dust2	C	16	6–10	38%	-0.03
ancient	A	14	8–6	57%	-0.01
nuke	D	12	2–10	17%	-0.02
vertigo	A	9	5–4	56%	-0.03
overpass	A	5	3–2	60%	0.00
anubis	—	4	2–2	50%	-0.00
cache	—	3	1–2	33%	0.01
train	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

26Matches

35%Win rate

0.80Avg K/D

64.3ADR

38%Headshot %

Clutches & streaks

23%1v1 clutch win

8%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	0%	0.59	10.4
Dust2	4	75%	1.20	13.0
Anubis	4	0%	0.60	10.3
Inferno	4	75%	0.94	15.0
Train	3	33%	0.88	11.3
Overpass	2	0%	0.40	6.5
Ancient	2	0%	0.72	12.0
Vertigo	1	100%	0.53	9.0

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.

15.7%Headshot accuracy

32.8%Accuracy (enemy spotted)

32.3%Spray accuracy

73.5%Counter-strafing

12.9°Preaim

716msReaction time

26.1%T opening success

32.7%CT opening success

0.60Enemies flashed / flash

8.3%Flash assists

7.29HE damage / grenade

9.07Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.8701° — above the 12° mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 715.6034ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Nuke

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	0.13	23%	13 Aug →
dust2	11–13	-0.07	8%	13 Aug →
nuke	13–7	0.02	15%	13 Aug →
mirage	7–13	-0.03	26%	12 Aug →
ancient	8–13	-0.05	19%	10 Aug →
cache	13–9	0.02	16%	10 Aug →
vertigo	13–7	-0.05	12%	3 Aug →
inferno	9–13	0.02	27%	3 Aug →
vertigo	4–13	-0.05	11%	1 Aug →
nuke	5–13	-0.02	14%	27 Jul →
mirage	11–13	-0.05	31%	19 Jul →
cache	6–13	0.01	21%	19 Jul →
dust2	13–10	-0.04	23%	19 Jul →
dust2	13–4	-0.00	8%	17 Jul →
mirage	13–5	-0.01	14%	12 Jul →
inferno	16–13	0.06	15%	10 Jul →
nuke	7–13	0.07	22%	7 Jul →
mirage	2–7	-0.07	6%	6 Jul →
inferno	5–13	0.02	12%	5 Jul →
ancient	13–9	0.05	9%	2 Jul →
nuke	10–13	-0.05	8%	1 Jul →
dust2	13–10	-0.02	12%	1 Jul →
ancient	3–7	-0.08	9%	30 Jun →
dust2	3–13	-0.06	5%	30 Jun →
mirage	11–13	-0.00	16%	30 Jun →
overpass	5–13	0.02	12%	26 Jun →
anubis	13–6	-0.03	15%	25 Jun →
dust2	7–11	-0.07	18%	25 Jun →
nuke	3–7	-0.03	21%	25 Jun →
vertigo	13–11	-0.03	11%	24 Jun →
inferno	13–6	0.10	19%	24 Jun →
mirage	13–10	0.04	25%	24 Jun →
ancient	13–5	-0.07	10%	23 Jun →
dust2	13–9	0.04	16%	20 Jun →
anubis	13–5	0.10	13%	20 Jun →
inferno	9–7	0.07	17%	20 Jun →
anubis	10–13	-0.04	16%	18 Jun →
overpass	13–8	0.02	15%	18 Jun →
mirage	13–11	-0.06	16%	14 Jun →
nuke	10–13	-0.09	7%	12 Jun →
dust2	0–7	-0.05	0%	11 Jun →
inferno	0–2	-0.06	0%	11 Jun →
inferno	7–9	-0.17	24%	11 Jun →
ancient	14–16	0.05	17%	10 Jun →
inferno	9–13	0.03	22%	9 Jun →
vertigo	13–7	0.00	21%	9 Jun →
ancient	12–12	-0.04	36%	9 Jun →
nuke	13–4	-0.03	10%	7 Jun →
vertigo	12–12	0.02	20%	7 Jun →
vertigo	13–8	0.00	12%	7 Jun →
inferno	2–13	0.07	20%	7 Jun →
inferno	11–13	-0.01	8%	5 Jun →
inferno	13–6	0.07	17%	4 Jun →
vertigo	7–13	-0.05	9%	3 Jun →
inferno	3–13	-0.11	20%	2 Jun →
train	3–13	0.01	17%	2 Jun →
nuke	4–13	0.02	24%	28 May →
dust2	11–13	0.03	17%	28 May →
mirage	2–6	0.03	18%	28 May →
dust2	9–2	-0.06	20%	26 May →
vertigo	13–11	0.02	14%	26 May →
inferno	8–13	-0.04	18%	25 May →
nuke	6–13	-0.05	16%	23 May →
inferno	13–6	0.06	21%	22 May →
dust2	9–13	-0.04	44%	21 May →
mirage	5–13	-0.03	12%	21 May →
cache	9–13	0.00	30%	21 May →
overpass	13–10	-0.03	21%	21 May →
nuke	12–12	-0.02	15%	21 May →
vertigo	4–13	-0.10	38%	20 May →
overpass	13–4	-0.03	11%	19 May →
mirage	3–12	0.07	28%	18 May →
ancient	13–4	0.03	5%	18 May →
mirage	11–13	0.01	14%	18 May →
mirage	13–5	0.16	14%	18 May →
mirage	9–13	-0.04	21%	14 May →
inferno	13–7	-0.05	9%	9 May →
ancient	13–5	-0.01	5%	8 May →
nuke	11–13	-0.01	15%	8 May →
ancient	13–6	0.09	17%	28 Apr →
ancient	13–10	-0.04	17%	28 Apr →
anubis	8–13	-0.04	25%	26 Apr →
mirage	15–15	-0.02	13%	23 Apr →
overpass	4–13	0.03	18%	23 Apr →
dust2	11–13	-0.03	10%	23 Apr →
ancient	16–12	0.03	20%	23 Apr →
inferno	13–9	0.01	16%	23 Apr →
dust2	4–13	-0.00	15%	22 Apr →
mirage	8–13	-0.04	9%	22 Apr →
mirage	13–8	0.09	18%	20 Apr →
mirage	10–13	0.01	16%	3 Apr →
dust2	1–13	-0.10	13%	26 Mar →
ancient	13–8	-0.01	20%	25 Mar →
ancient	2–13	-0.03	40%	25 Mar →
nuke	12–12	-0.04	7%	22 Feb →
inferno	9–13	-0.03	5%	18 Feb →
dust2	1–13	-0.07	14%	18 Feb →
inferno	8–8	0.00	8%	13 Feb →
ancient	6–13	-0.03	11%	12 Feb →
inferno	6–13	-0.05	3%	12 Feb →