Parks — CS2 Stats

US76561198131124427[U:1:170858699]Steam profile ↗✓ No bans

735Tracked matches55%Win rate2020Tracked since

1,366Hours in CS2Hrs last 2 wks

CSDB Rating5.0 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim39

Positioning64

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateLLWWLLLLWW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Aim3.9

Aggression7.3

Utility5.2

Positioning6.4

Opening Duels3.7

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 b1t 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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. 653ms 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

Aim3.9

Positioning6.4

Utility5.2

Mechanics4.8

Opening Duels3.7

Win Impact6.7

Composite 5.0/10 (Developing), 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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time648ms−16ms

first ⅓ avg 663ms → last ⅓ avg 648ms

Headshot accuracy12.0%−2.0%

first ⅓ avg 14.1% → last ⅓ avg 12.0%

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 13–4

13–0Biggest win — inferno

6Longest win streak

L2Current streak

11–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 70% over 10ancientWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	23	10–13	43%	0.02
mirage	S	13	9–4	69%	0.03
inferno	B	13	7–6	54%	0.03
anubis	D	12	4–8	33%	0.01
overpass	S	10	7–3	70%	0.00
cache	B	8	4–4	50%	0.00
ancient	D	8	1–7	13%	-0.00
dust2	S	6	4–2	67%	0.02
vertigo	—	4	2–2	50%	0.03
train	—	3	1–2	33%	-0.00

Across the last 100 tracked matches.

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

Lifetime stats

58,780Lifetime kills

1.33K/D · Top 10% of tracked players

3,187Matches

39.5%Match win rate

35.2%Headshot %

19.4%Shot accuracy · Top 5% of tracked players

6,152MVPs

800Hours (in match)

2,045Bombs planted

533Bombs defused

Most-used weapons

AK-4714,601

M4A4 / M4A1-S10,578

AWP5,560

P2000 / USP-S3,029

Glock-182,337

UMP-452,037

MP91,912

MAC-101,860

Galil AR1,598

Desert Eagle1,457

Lifetime map wins

3,304dust2

2,233inferno

1,866nuke

873vertigo

571cbble

557train

306lake

111ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

11Matches

18%Win rate

0.84Avg K/D

—ADR

38%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	3	33%	0.97	14.3
Mirage	2	0%	1.09	14.5
Nuke	2	50%	0.87	11.0
Inferno	2	0%	0.67	11.0
Ancient	2	0%	0.56	10.0

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.

11.5%Headshot accuracy

35.0%Accuracy (enemy spotted)

40.5%Spray accuracy

71.4%Counter-strafing

13.8°Preaim

653msReaction time

42.8%T opening success

46.5%CT opening success

0.72Enemies flashed / flash

4.3%Flash assists

11.04HE damage / grenade

6.00Flashes / 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 13.8378° — above the 12° mark we flag
Aim Training →
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 11.498% — below the 15% mark we flag
Aim Training →

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.

13% win rate across 8 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
vertigo	0–13	-0.02	19%	27 Aug →
train	7–13	-0.02	20%	27 Aug →
mirage	13–11	0.07	15%	26 Aug →
inferno	13–0	0.14	0%	26 Aug →
nuke	2–13	-0.08	19%	28 Jul →
inferno	5–13	0.02	16%	28 Jul →
anubis	11–13	0.01	6%	19 Jul →
cache	7–13	0.05	11%	13 Jul →
nuke	13–11	0.02	8%	13 Jul →
dust2	13–11	0.04	17%	13 Jul →
nuke	13–8	-0.03	12%	13 Jul →
cache	13–8	-0.01	9%	13 Jul →
mirage	10–0	-0.03	14%	12 Jul →
dust2	13–8	-0.01	9%	12 Jul →
ancient	15–15	0.03	12%	12 Jul →
nuke	10–13	0.01	8%	12 Jul →
nuke	8–13	0.02	17%	11 Jul →
mirage	13–3	0.06	17%	6 Jul →
inferno	13–8	-0.01	7%	5 Jul →
anubis	5–13	-0.01	7%	5 Jul →
nuke	11–13	0.04	15%	4 Jul →
overpass	13–6	-0.01	14%	4 Jul →
mirage	13–5	0.07	4%	4 Jul →
ancient	9–13	-0.03	7%	4 Jul →
dust2	16–13	0.05	10%	3 Jul →
anubis	8–13	-0.01	11%	3 Jul →
nuke	13–8	0.08	9%	3 Jul →
mirage	13–11	0.03	11%	3 Jul →
mirage	8–13	-0.02	12%	2 Jul →
cache	13–10	-0.03	12%	1 Jul →
cache	5–13	0.01	21%	30 Jun →
vertigo	13–9	0.06	9%	30 Jun →
ancient	10–13	-0.02	20%	30 Jun →
nuke	13–6	0.02	28%	27 Jun →
vertigo	10–13	-0.02	13%	27 Jun →
anubis	3–13	-0.02	10%	27 Jun →
train	13–11	-0.02	19%	27 Jun →
cache	13–10	-0.03	18%	27 Jun →
dust2	13–1	-0.01	31%	27 Jun →
nuke	10–13	0.00	9%	30 May →
inferno	16–13	-0.01	22%	30 May →
overpass	12–16	-0.10	6%	30 May →
overpass	13–5	0.10	8%	10 May →
vertigo	13–8	0.09	10%	10 May →
train	6–13	0.03	21%	10 May →
anubis	13–2	0.06	13%	10 May →
cache	9–13	-0.03	22%	10 May →
nuke	13–1	0.15	30%	10 May →
cache	11–13	-0.02	10%	5 May →
nuke	7–13	0.03	9%	5 May →
inferno	3–13	0.04	18%	3 May →
ancient	2–13	-0.05	15%	3 May →
mirage	13–10	0.03	16%	3 May →
nuke	11–13	0.10	12%	3 May →
cache	13–11	0.08	17%	3 May →
overpass	13–7	0.06	12%	1 May →
nuke	13–11	0.06	16%	22 Apr →
inferno	16–14	0.05	19%	22 Apr →
overpass	14–16	0.06	9%	22 Apr →
ancient	9–13	0.04	16%	19 Apr →
nuke	13–11	0.04	8%	19 Apr →
anubis	13–7	0.01	11%	19 Apr →
inferno	7–13	0.08	16%	19 Apr →
overpass	13–10	0.02	10%	19 Apr →
mirage	13–4	0.16	14%	19 Apr →
ancient	7–13	0.03	11%	11 Apr →
anubis	9–13	0.03	9%	11 Apr →
inferno	11–13	0.03	16%	11 Apr →
nuke	13–10	-0.03	29%	11 Apr →
mirage	4–13	0.01	14%	11 Apr →
overpass	13–11	-0.05	16%	11 Apr →
nuke	10–13	0.03	20%	11 Apr →
overpass	0–13	-0.08	7%	10 Apr →
nuke	8–13	0.02	16%	10 Apr →
anubis	3–13	-0.06	14%	10 Apr →
inferno	16–14	0.04	9%	4 Apr →
anubis	13–3	0.04	9%	4 Apr →
overpass	13–4	0.00	11%	4 Apr →
nuke	5–13	-0.04	11%	3 Apr →
mirage	13–8	0.03	14%	3 Apr →
anubis	9–13	0.01	7%	3 Apr →
inferno	8–13	-0.03	16%	3 Apr →
nuke	5–13	0.01	29%	30 Mar →
overpass	13–10	0.02	19%	30 Mar →
mirage	11–13	0.00	14%	30 Mar →
anubis	13–9	0.04	12%	30 Mar →
dust2	8–13	-0.02	18%	30 Mar →
nuke	13–2	0.09	24%	29 Mar →
inferno	13–9	0.02	7%	28 Mar →
ancient	6–13	-0.05	6%	28 Mar →
mirage	13–10	-0.00	27%	28 Mar →
nuke	13–7	-0.00	14%	28 Mar →
nuke	11–13	-0.04	11%	26 Mar →
inferno	13–4	0.05	11%	26 Mar →
dust2	13–16	0.04	11%	24 Mar →
inferno	6–13	-0.02	18%	24 Mar →
ancient	13–10	0.03	7%	24 Mar →
nuke	9–13	0.06	15%	23 Mar →
mirage	2–13	-0.02	5%	19 Mar →
anubis	14–16	0.01	9%	19 Mar →