Louie2Tapp — CS2 Stats

US76561198836773053[U:1:876507325]Steam profile ↗✓ No bans

1,421Tracked matches30%Win rate2021Tracked since

1,289Hours in CS4Hrs last 2 wks

CSDB Rating2.7 Learning

WingmanSilver Elite Master

Ladder ranks via Leetify

Performance scores

Aim23

Positioning31

Utility48

0–100 skill scores via Leetify.

Recent form

COLD38–53–9Last 10038%Win rateTLWLTWLLLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim2.3

Aggression1.3

Utility4.8

Positioning3.1

Opening Duels0.0

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 NiKo 62% 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. 712ms 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

Aim2.3

Positioning3.1

Utility4.8

Mechanics4.6

Opening Duels0.0

Win Impact0.0

Composite 2.7/10 (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-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time682ms+20ms

first ⅓ avg 662ms → last ⅓ avg 682ms

Headshot accuracy10.7%−3.2%

first ⅓ avg 13.9% → last ⅓ avg 10.7%

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

0.32Best rating — vertigo 9–0

13–1Biggest win — nuke

5Longest win streak

6–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 46% over 13cacheWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	21	7–14	33%	-0.03
nuke	D	17	5–12	29%	-0.02
mirage	C	17	7–10	41%	-0.02
inferno	B	13	6–7	46%	-0.05
ancient	C	9	4–5	44%	-0.01
cache	D	5	0–5	0%	-0.03
vertigo	—	4	3–1	75%	0.13
anubis	—	4	3–1	75%	0.00
alpine	—	3	2–1	67%	0.02
office	—	2	0–2	0%	-0.05
debris	—	2	0–2	0%	-0.10
shelter	—	1	0–1	0%	-0.08
train	—	1	0–1	0%	-0.02
italy	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Lifetime stats

23,402Lifetime kills

0.70K/D

2,032Matches

37.8%Match win rate

36.0%Headshot %

2.8%Shot accuracy

2,500MVPs

692Hours (in match)

1,176Bombs planted

318Bombs defused

Most-used weapons

AK-476,353

M4A4 / M4A1-S5,587

MP92,076

MAC-101,908

P2000 / USP-S1,505

Glock-181,267

Galil AR966

AWP940

Desert Eagle305

SG 553294

Lifetime map wins

3,924dust2

2,864inferno

1,893nuke

956vertigo

449train

79office

71cbble

13italy

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.

9.9%Headshot accuracy

32.5%Accuracy (enemy spotted)

40.1%Spray accuracy

70.9%Counter-strafing

15.2°Preaim

712msReaction time

24.2%T opening success

27.2%CT opening success

0.56Enemies flashed / flash

8.3%Flash assists

4.66HE damage / grenade

5.85Flashes / 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 15.1629° — 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 9.8544% — 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 712.4027ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Cache

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
office	12–12	-0.09	11%	21 Aug →
nuke	8–13	-0.06	18%	21 Aug →
mirage	13–6	-0.05	15%	21 Aug →
dust2	5–13	-0.04	4%	21 Aug →
mirage	12–12	-0.10	3%	12 Aug →
dust2	13–8	-0.02	9%	12 Aug →
mirage	9–13	-0.02	12%	11 Aug →
nuke	2–13	-0.08	0%	11 Aug →
vertigo	7–13	-0.03	12%	7 Aug →
inferno	13–11	-0.04	10%	7 Aug →
nuke	13–1	-0.01	11%	7 Aug →
cache	9–13	-0.01	9%	7 Aug →
dust2	13–6	-0.06	9%	7 Aug →
mirage	13–7	-0.07	14%	5 Aug →
nuke	10–13	-0.00	5%	5 Aug →
inferno	5–13	-0.02	5%	5 Aug →
nuke	6–13	0.00	16%	3 Aug →
dust2	6–13	0.03	9%	3 Aug →
shelter	10–13	-0.08	8%	1 Aug →
dust2	10–13	-0.04	10%	31 Jul →
dust2	11–13	-0.06	8%	31 Jul →
nuke	5–9	-0.05	22%	31 Jul →
vertigo	9–7	0.03	10%	31 Jul →
debris	8–8	-0.09	21%	27 Jul →
train	6–13	-0.02	10%	27 Jul →
mirage	1–13	-0.07	12%	27 Jul →
dust2	3–13	-0.06	8%	27 Jul →
vertigo	9–0	0.22	6%	24 Jul →
inferno	2–9	-0.28	9%	24 Jul →
nuke	8–8	-0.10	8%	24 Jul →
debris	5–9	-0.12	0%	24 Jul →
vertigo	9–0	0.32	33%	24 Jul →
inferno	9–4	0.04	15%	24 Jul →
inferno	4–9	-0.08	15%	24 Jul →
anubis	7–13	-0.02	6%	12 Jul →
cache	12–12	-0.06	17%	11 Jul →
ancient	4–13	-0.02	14%	11 Jul →
nuke	13–8	0.03	10%	11 Jul →
dust2	6–13	-0.01	9%	11 Jul →
inferno	13–6	-0.00	10%	11 Jul →
mirage	13–7	0.01	11%	11 Jul →
anubis	13–6	-0.00	7%	11 Jul →
dust2	13–7	0.00	11%	28 Jun →
inferno	13–8	-0.02	14%	27 Jun →
mirage	11–13	-0.06	11%	27 Jun →
ancient	13–4	0.03	6%	27 Jun →
mirage	4–13	-0.02	11%	21 Jun →
inferno	13–9	-0.06	9%	12 Jun →
dust2	9–13	-0.06	9%	12 Jun →
nuke	13–8	0.06	6%	12 Jun →
nuke	10–13	0.05	9%	12 Jun →
dust2	15–15	-0.08	10%	12 Jun →
cache	12–12	-0.02	12%	12 Jun →
anubis	13–8	0.06	6%	9 Jun →
dust2	7–13	-0.05	13%	9 Jun →
dust2	8–13	-0.05	8%	9 Jun →
nuke	9–13	-0.04	14%	9 Jun →
ancient	13–5	-0.02	14%	9 Jun →
inferno	13–6	0.01	15%	9 Jun →
inferno	6–13	-0.06	22%	9 Jun →
mirage	12–12	0.02	16%	9 Jun →
mirage	9–13	0.04	12%	9 Jun →
mirage	13–11	-0.01	11%	9 Jun →
dust2	13–11	-0.01	4%	5 Jun →
office	11–13	-0.02	17%	5 Jun →
nuke	6–13	-0.03	19%	5 Jun →
ancient	4–13	-0.04	22%	5 Jun →
mirage	13–8	-0.03	11%	5 Jun →
dust2	6–13	-0.03	10%	5 Jun →
inferno	3–13	-0.04	17%	5 Jun →
nuke	7–13	-0.04	16%	4 Jun →
dust2	13–10	-0.02	17%	4 Jun →
ancient	11–13	-0.07	7%	4 Jun →
mirage	7–13	-0.03	14%	4 Jun →
anubis	13–11	-0.03	6%	4 Jun →
nuke	2–11	0.02	13%	4 Jun →
mirage	9–13	-0.07	10%	4 Jun →
inferno	3–13	-0.08	14%	4 Jun →
nuke	4–1	-0.01	50%	4 Jun →
dust2	10–13	-0.03	20%	4 Jun →
cache	9–13	-0.03	6%	4 Jun →
ancient	13–3	-0.07	11%	4 Jun →
inferno	1–13	-0.03	6%	4 Jun →
mirage	11–13	0.03	20%	2 Jun →
nuke	8–13	-0.04	9%	2 Jun →
italy	13–4	-0.04	12%	26 May →
alpine	9–13	0.04	18%	26 May →
alpine	13–6	0.01	26%	26 May →
alpine	13–4	0.02	17%	26 May →
dust2	13–1	0.12	8%	23 May →
dust2	13–6	0.03	9%	22 May →
cache	4–13	-0.06	6%	22 May →
ancient	10–13	0.06	22%	22 May →
dust2	7–13	-0.09	8%	22 May →
nuke	13–11	0.02	14%	22 May →
ancient	15–15	0.04	14%	22 May →
mirage	13–8	0.00	11%	22 May →
ancient	13–9	-0.05	5%	21 May →
dust2	10–13	-0.01	13%	21 May →
mirage	13–9	0.09	15%	19 May →