Lapanen — CS2 Stats

FI76561198259942364[U:1:299676636]Steam profile ↗✓ No bans

1,001Tracked matches43%Win rate2020Tracked since

1,926Hours in CS9Hrs last 2 wks

CSDB Rating4.4 Developing

WingmanMaster Guardian I

Ladder ranks via Leetify

Performance scores

Aim58

Positioning49

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateWLLWLLWWLW

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

Player DNA

Aim5.8

Aggression4.9

Utility3.7

Positioning4.9

Opening Duels1.0

Clutch3.8

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 80% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim5.8

Positioning4.9

Utility3.7

Mechanics4.6

Opening Duels1.7

Win Impact2.8

Composite 4.4/10 (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-0.01−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time609ms+16ms

first ⅓ avg 593ms → last ⅓ avg 609ms

Headshot accuracy12.8%+2.0%

first ⅓ avg 10.8% → last ⅓ avg 12.8%

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

0.20Best rating — nuke 9–3

13–1Biggest win — inferno

6Longest win streak

6–12In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 62% over 13ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	38	15–23	39%	-0.01
nuke	B	23	11–12	48%	-0.03
mirage	A	13	8–5	62%	-0.00
ancient	C	8	3–5	38%	0.02
anubis	C	7	3–4	43%	-0.01
cache	—	4	3–1	75%	-0.00
dust2	—	3	1–2	33%	0.00
overpass	—	3	1–2	33%	-0.01
train	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,789Lifetime kills

1.23K/D · Top 25% of tracked players

3,128Matches

43.2%Match win rate

39.1%Headshot %

19.8%Shot accuracy · Top 5% of tracked players

7,603MVPs

816Hours (in match)

1,402Bombs planted

574Bombs defused

Most-used weapons

AK-4718,484

M4A4 / M4A1-S11,625

Desert Eagle4,150

P2000 / USP-S3,803

AWP3,272

Glock-182,470

Galil AR1,784

FAMAS1,627

AUG1,497

SG 5531,405

Lifetime map wins

5,640inferno

2,958nuke

1,317train

843dust2

679cbble

429vertigo

301lake

147office

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

Faceit stats

Combat

52Matches

52%Win rate

0.98Avg K/D

80.8ADR

35%Headshot %

Clutches & streaks

39%1v1 clutch win

32%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	8	88%	0.96	18.1
Inferno	7	71%	1.32	17.1
Nuke	7	43%	0.96	15.9
Mirage	6	50%	0.96	16.5
Dust2	2	0%	0.84	13.0
Train	1	0%	0.59	10.0
Ancient	1	0%	0.56	10.0
Cache	1	100%	1.17	21.0

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.

11.7%Headshot accuracy

37.6%Accuracy (enemy spotted)

41.8%Spray accuracy

70.6%Counter-strafing

10.5°Preaim

620msReaction time

24.3%T opening success

43.7%CT opening success

0.40Enemies flashed / flash

2.6%Flash assists

5.26HE damage / grenade

6.95Flashes / 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 11.7156% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3965 — below the 0.5 mark we flag
Grenade Lineups →
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 24.3061% — below the 40% mark we flag

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.

38% 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
inferno	9–5	-0.01	17%	30 Aug →
nuke	4–9	0.04	20%	30 Aug →
inferno	1–9	-0.18	28%	30 Aug →
nuke	13–6	-0.02	12%	24 Aug →
inferno	5–13	-0.03	16%	24 Aug →
mirage	10–13	-0.02	18%	24 Aug →
mirage	13–2	0.06	8%	23 Aug →
nuke	13–6	-0.07	8%	23 Aug →
inferno	7–9	-0.02	4%	23 Aug →
cache	13–5	0.06	12%	22 Aug →
mirage	13–8	-0.01	14%	22 Aug →
inferno	6–13	-0.08	4%	4 Aug →
nuke	13–11	-0.02	14%	4 Aug →
inferno	14–16	0.01	18%	4 Aug →
inferno	4–13	-0.11	14%	3 Aug →
mirage	11–13	0.01	10%	3 Aug →
cache	13–6	-0.04	14%	3 Aug →
mirage	13–8	0.01	14%	4 Jul →
anubis	6–13	-0.01	20%	4 Jul →
inferno	8–8	-0.05	4%	2 Jul →
nuke	9–3	0.20	7%	2 Jul →
dust2	5–13	0.01	14%	23 Jun →
dust2	16–14	0.01	14%	22 Jun →
inferno	11–13	-0.04	13%	22 Jun →
mirage	13–8	-0.08	7%	22 Jun →
overpass	11–13	-0.05	5%	22 Jun →
ancient	5–13	-0.05	5%	20 Jun →
anubis	10–13	-0.00	9%	20 Jun →
ancient	13–10	-0.01	13%	20 Jun →
dust2	2–13	-0.00	19%	20 Jun →
inferno	13–1	0.09	19%	14 Jun →
mirage	13–11	0.00	11%	14 Jun →
nuke	5–9	-0.07	19%	13 Jun →
inferno	4–9	-0.11	11%	13 Jun →
inferno	3–13	-0.05	0%	13 Jun →
anubis	6–13	-0.07	9%	4 Jun →
overpass	3–13	-0.03	11%	4 Jun →
nuke	11–13	-0.02	7%	27 May →
cache	2–13	-0.06	6%	27 May →
ancient	7–13	0.03	11%	27 May →
overpass	9–4	0.04	12%	27 May →
inferno	13–9	0.11	8%	21 May →
mirage	6–13	0.02	14%	3 May →
inferno	13–16	0.02	15%	2 May →
cache	13–11	0.03	15%	26 Apr →
inferno	8–8	-0.08	7%	26 Apr →
inferno	13–3	0.05	13%	26 Apr →
mirage	7–13	-0.04	23%	26 Apr →
inferno	13–11	-0.01	8%	24 Apr →
nuke	16–12	-0.04	10%	24 Apr →
nuke	13–11	-0.02	14%	20 Apr →
ancient	13–4	0.07	27%	20 Apr →
mirage	7–13	0.03	11%	20 Apr →
nuke	13–4	-0.04	7%	20 Apr →
ancient	13–4	0.05	14%	19 Apr →
nuke	11–13	-0.04	15%	19 Apr →
inferno	11–13	-0.07	7%	19 Apr →
train	7–13	-0.06	12%	19 Apr →
inferno	13–10	-0.00	8%	18 Apr →
mirage	13–6	-0.07	3%	17 Apr →
anubis	13–5	0.04	16%	17 Apr →
inferno	9–2	0.09	3%	17 Apr →
inferno	9–2	0.06	6%	17 Apr →
nuke	9–2	-0.07	5%	17 Apr →
inferno	5–13	0.05	14%	15 Apr →
inferno	4–13	-0.09	4%	15 Apr →
nuke	2–9	-0.18	6%	15 Apr →
inferno	13–7	-0.00	3%	13 Apr →
mirage	13–2	0.06	13%	13 Apr →
ancient	10–13	0.05	14%	13 Apr →
nuke	8–13	-0.01	6%	13 Apr →
nuke	13–2	0.04	6%	13 Apr →
ancient	12–12	-0.00	8%	13 Apr →
nuke	11–13	-0.05	9%	13 Apr →
inferno	13–1	0.02	17%	13 Apr →
inferno	9–13	0.00	5%	11 Apr →
anubis	13–8	0.03	20%	11 Apr →
inferno	4–13	-0.02	10%	11 Apr →
inferno	13–6	0.01	19%	11 Apr →
nuke	9–6	-0.04	13%	9 Apr →
inferno	4–9	-0.08	11%	9 Apr →
nuke	1–9	-0.21	21%	9 Apr →
nuke	15–15	-0.01	7%	6 Apr →
inferno	9–4	0.17	19%	6 Apr →
inferno	9–1	0.06	14%	6 Apr →
inferno	8–8	-0.08	4%	6 Apr →
inferno	9–13	-0.02	6%	5 Apr →
nuke	11–13	0.00	9%	5 Apr →
nuke	6–9	-0.04	7%	1 Apr →
inferno	1–9	-0.19	6%	1 Apr →
nuke	9–6	0.09	18%	1 Apr →
inferno	13–3	0.03	9%	31 Mar →
inferno	9–13	0.00	22%	31 Mar →
nuke	12–12	-0.06	6%	29 Mar →
inferno	9–13	0.05	12%	29 Mar →
anubis	13–6	-0.02	7%	29 Mar →
mirage	13–10	-0.01	6%	28 Mar →
ancient	11–13	-0.02	12%	28 Mar →
anubis	11–13	-0.02	13%	27 Mar →
inferno	13–8	0.03	4%	27 Mar →