Hallway — CS2 Stats

US76561198082038604[U:1:121772876]Steam profile ↗✓ No bans

932Tracked matches60%Win rate2022Tracked since

2,198Hours in CS17Hrs last 2 wks

CSDB Rating4.5 Developing

Ladder ranks via Leetify

Performance scores

Aim40

Positioning39

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY53–39–8Last 10053%Win rateTWLLLWWWLL

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

Player DNA

Aim4.0

Aggression3.7

Utility3.3

Positioning3.9

Opening Duels0.5

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 74% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 718ms 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

Aim4.0

Positioning3.9

Utility3.3

Mechanics7.5

Opening Duels1.1

Win Impact8.3

Composite 4.5/10 (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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time719ms−103ms

first ⅓ avg 821ms → last ⅓ avg 719ms

Headshot accuracy10.8%−1.9%

first ⅓ avg 12.7% → last ⅓ avg 10.8%

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

0.09Best rating — dust2 3–13

13–1Biggest win — dust2

6Longest win streak

5–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 67% over 15trainWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
shelter	A	26	16–10	62%	-0.02
dust2	B	25	13–12	52%	-0.01
mirage	S	15	10–5	67%	0.00
office	B	10	5–5	50%	-0.02
cache	C	10	4–6	40%	-0.02
train	D	7	2–5	29%	-0.02
inferno	A	5	3–2	60%	0.02
nuke	—	1	0–1	0%	-0.03
overpass	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Lifetime stats

57,614Lifetime kills

0.83K/D

3,562Matches

45.6%Match win rate

33.1%Headshot %

14.7%Shot accuracy · Top 50% of tracked players

5,620MVPs

1,265Hours (in match)

1,715Bombs planted

531Bombs defused

Most-used weapons

AK-479,424

M4A4 / M4A1-S7,055

AWP5,440

Desert Eagle3,918

P903,420

P2502,117

FAMAS2,039

P2000 / USP-S2,029

SCAR-201,975

XM10141,763

Lifetime map wins

11,656dust2

3,805inferno

1,554office

1,487train

953nuke

567cbble

184vertigo

80italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.6%Headshot accuracy

34.3%Accuracy (enemy spotted)

33.6%Spray accuracy

83.7%Counter-strafing

12.1°Preaim

718msReaction time

25.7%T opening success

38.5%CT opening success

0.37Enemies flashed / flash

1.9%Flash assists

8.80HE damage / grenade

3.67Flashes / 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 12.1155° — 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 10.5994% — below the 15% 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 718.2972ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	15–15	-0.05	6%	28 Aug →
mirage	13–7	0.01	12%	28 Aug →
nuke	8–13	-0.03	3%	28 Aug →
inferno	8–13	-0.04	9%	27 Aug →
dust2	8–13	-0.04	10%	27 Aug →
inferno	13–11	-0.03	11%	26 Aug →
mirage	13–9	0.00	9%	25 Aug →
dust2	8–4	-0.05	11%	25 Aug →
shelter	10–13	-0.05	11%	24 Aug →
shelter	10–13	-0.08	33%	23 Aug →
train	11–13	0.01	4%	23 Aug →
dust2	9–13	-0.08	9%	23 Aug →
dust2	6–13	-0.04	12%	23 Aug →
office	13–8	-0.07	0%	23 Aug →
cache	13–10	0.03	10%	21 Aug →
train	12–12	0.01	9%	21 Aug →
dust2	13–9	-0.01	6%	21 Aug →
shelter	9–13	-0.05	14%	21 Aug →
dust2	13–11	0.01	8%	19 Aug →
mirage	13–11	-0.04	9%	19 Aug →
mirage	13–6	0.03	4%	18 Aug →
dust2	12–12	0.00	9%	18 Aug →
train	12–12	-0.04	12%	17 Aug →
shelter	13–5	-0.03	11%	17 Aug →
office	13–6	-0.04	8%	16 Aug →
mirage	13–8	0.01	14%	14 Aug →
dust2	3–13	0.09	19%	14 Aug →
office	13–7	0.02	17%	12 Aug →
dust2	13–6	0.01	17%	12 Aug →
overpass	12–12	-0.01	14%	11 Aug →
shelter	13–4	0.01	13%	11 Aug →
office	13–3	-0.05	14%	10 Aug →
shelter	13–8	0.05	7%	10 Aug →
shelter	13–8	0.05	7%	9 Aug →
mirage	8–13	-0.06	7%	9 Aug →
dust2	13–5	0.06	10%	9 Aug →
inferno	13–11	0.06	7%	8 Aug →
dust2	13–9	0.06	15%	8 Aug →
mirage	13–7	-0.02	9%	8 Aug →
mirage	13–6	0.00	2%	7 Aug →
dust2	11–13	-0.08	8%	7 Aug →
cache	11–13	-0.08	6%	3 Aug →
dust2	13–1	0.08	7%	3 Aug →
shelter	13–5	-0.01	6%	3 Aug →
office	9–13	-0.08	7%	2 Aug →
shelter	13–9	-0.05	8%	2 Aug →
shelter	7–13	-0.09	8%	26 Jul →
shelter	8–13	0.00	4%	26 Jul →
shelter	13–9	0.01	13%	26 Jul →
shelter	13–6	0.06	7%	26 Jul →
shelter	9–13	-0.09	6%	25 Jul →
shelter	5–13	-0.00	15%	25 Jul →
shelter	3–13	-0.02	13%	24 Jul →
shelter	8–13	-0.02	15%	24 Jul →
shelter	13–3	-0.02	6%	24 Jul →
shelter	13–3	-0.08	0%	24 Jul →
shelter	13–3	0.03	6%	24 Jul →
shelter	13–10	0.00	16%	23 Jul →
shelter	13–10	0.03	9%	21 Jul →
shelter	13–5	0.03	14%	12 Jul →
shelter	5–13	-0.05	4%	12 Jul →
shelter	13–8	-0.04	17%	10 Jul →
shelter	13–9	-0.01	8%	10 Jul →
mirage	13–4	0.08	19%	8 Jul →
office	9–13	0.02	13%	8 Jul →
cache	3–13	-0.02	3%	7 Jul →
train	6–13	-0.11	11%	5 Jul →
dust2	10–13	-0.05	17%	5 Jul →
mirage	11–13	-0.04	12%	5 Jul →
cache	12–12	0.01	10%	3 Jul →
mirage	8–13	-0.03	5%	3 Jul →
train	13–6	-0.03	13%	3 Jul →
dust2	13–11	-0.01	7%	3 Jul →
dust2	13–10	0.02	19%	2 Jul →
cache	7–13	-0.05	20%	2 Jul →
dust2	13–7	0.00	18%	22 Jun →
inferno	13–2	0.02	11%	21 Jun →
cache	13–10	-0.08	18%	21 Jun →
dust2	12–12	-0.02	10%	21 Jun →
train	13–8	0.01	15%	21 Jun →
mirage	13–9	0.08	15%	21 Jun →
mirage	4–13	-0.08	17%	14 Jun →
dust2	13–8	0.02	13%	14 Jun →
cache	6–13	-0.07	17%	9 Jun →
dust2	10–13	-0.05	11%	9 Jun →
dust2	13–9	-0.00	18%	4 Jun →
cache	13–8	0.07	9%	4 Jun →
office	13–10	-0.05	9%	4 Jun →
dust2	11–13	0.01	14%	3 Jun →
mirage	11–13	-0.01	20%	3 Jun →
cache	6–13	-0.02	11%	3 Jun →
office	12–12	0.08	0%	2 Jun →
inferno	9–13	0.08	10%	2 Jun →
cache	13–10	-0.02	13%	2 Jun →
dust2	13–9	-0.02	8%	1 Jun →
train	5–13	-0.02	9%	1 Jun →
office	5–13	-0.03	6%	31 May →
office	7–13	-0.04	13%	31 May →
mirage	13–9	0.08	18%	30 May →
dust2	5–13	-0.06	14%	30 May →