Wapple — CS2 Stats

76561198185790098[U:1:225524370]Steam profile ↗✓ No bans

245Tracked matches54%Win rate2025Tracked since

273Hours in CS1Hrs last 2 wks

CSDB Rating4.1 Developing

WingmanSilver IV

Ladder ranks via Leetify

Performance scores

Aim45

Positioning42

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateLWWWLLLWLL

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim4.5

Aggression5.2

Utility3.3

Positioning4.2

Opening Duels0.7

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 NiKo 75% 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 41% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 674ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.5

Positioning4.2

Utility3.3

Mechanics4.4

Opening Duels1.3

Win Impact6.2

Composite 4.1/10 (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 rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time690ms+12ms

first ⅓ avg 679ms → last ⅓ avg 690ms

Headshot accuracy17.8%−0.8%

first ⅓ avg 18.5% → last ⅓ avg 17.8%

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

0.40Best rating — poseidon 9–1

13–1Biggest win — train

7Longest win streak

6–12In matches decided by ≤2 rounds

7Overtime games

Map breakdown

vertigoBest map · 80% over 5cacheWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	21	12–9	57%	0.02
inferno	C	18	8–10	44%	-0.00
mirage	B	13	6–7	46%	-0.02
overpass	A	9	5–4	56%	0.01
cache	D	7	2–5	29%	-0.02
ancient	A	7	4–3	57%	0.01
dust2	D	7	2–5	29%	-0.03
anubis	S	6	4–2	67%	-0.01
vertigo	S	5	4–1	80%	0.04
poseidon	—	2	2–0	100%	0.24
shelter	—	1	0–1	0%	-0.00
boulder	—	1	1–0	100%	0.07
fachwerk	—	1	1–0	100%	0.09
train	—	1	1–0	100%	0.13
office	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Lifetime stats

10,385Lifetime kills

1.85K/D · Top 5% of tracked players

372Matches

48.1%Match win rate · Top 50% of tracked players

63.6%Headshot % · Top 5% of tracked players

2.1%Shot accuracy

627MVPs

123Hours (in match)

291Bombs planted

138Bombs defused

Most-used weapons

AK-474,800

M4A4 / M4A1-S1,425

P2000 / USP-S853

Desert Eagle676

AWP530

MP9504

FAMAS463

SSG 08203

XM1014145

Galil AR114

Lifetime map wins

477inferno

370dust2

352nuke

280office

127vertigo

85train

60italy

22militia

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.

17.1%Headshot accuracy

35.3%Accuracy (enemy spotted)

33.8%Spray accuracy

69.7%Counter-strafing

11.5°Preaim

674msReaction time

24.5%T opening success

40.7%CT opening success

0.50Enemies flashed / flash

4.6%Flash assists

7.73HE damage / grenade

3.02Flashes / 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.

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 0.4986 — 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 24.5445% — below the 40% mark we flag

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.

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

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	11–13	-0.03	10%	17 Aug →
inferno	13–3	0.03	17%	17 Aug →
inferno	13–8	-0.02	22%	28 Jul →
vertigo	13–10	-0.06	14%	23 Jul →
cache	10–13	-0.09	10%	23 Jul →
anubis	6–13	-0.02	27%	23 Jul →
ancient	8–13	-0.06	21%	23 Jul →
cache	16–13	0.00	22%	23 Jul →
cache	11–13	-0.02	27%	23 Jul →
dust2	1–13	-0.09	8%	23 Jul →
nuke	13–7	-0.02	15%	22 Jul →
mirage	9–13	-0.07	10%	16 Jul →
shelter	12–12	-0.00	15%	14 Jul →
boulder	13–2	0.07	28%	14 Jul →
fachwerk	13–4	0.09	22%	14 Jul →
cache	15–15	0.00	22%	10 Jul →
nuke	13–7	-0.01	9%	9 Jul →
anubis	13–9	-0.01	10%	9 Jul →
inferno	4–13	-0.05	10%	5 Jul →
ancient	13–5	-0.02	15%	5 Jul →
cache	6–13	-0.05	16%	5 Jul →
vertigo	9–0	0.22	27%	5 Jul →
nuke	6–9	0.07	8%	5 Jul →
inferno	0–9	-0.19	8%	5 Jul →
inferno	8–8	0.09	20%	5 Jul →
poseidon	9–4	0.09	19%	5 Jul →
vertigo	9–5	0.05	24%	5 Jul →
nuke	7–9	0.05	17%	5 Jul →
inferno	9–3	0.20	21%	5 Jul →
overpass	7–9	0.06	36%	5 Jul →
poseidon	9–1	0.40	15%	5 Jul →
vertigo	3–9	-0.07	14%	5 Jul →
nuke	9–7	0.02	30%	5 Jul →
inferno	8–8	-0.12	6%	5 Jul →
vertigo	9–6	0.06	4%	3 Jul →
inferno	9–4	0.19	13%	3 Jul →
inferno	7–9	-0.08	6%	3 Jul →
nuke	9–1	0.19	17%	3 Jul →
overpass	7–13	-0.02	18%	3 Jul →
ancient	5–13	-0.01	33%	3 Jul →
mirage	13–6	-0.00	13%	1 Jul →
inferno	6–13	-0.01	7%	1 Jul →
nuke	13–11	0.01	7%	1 Jul →
nuke	7–13	-0.02	21%	30 Jun →
dust2	13–7	-0.02	28%	25 Jun →
cache	13–7	-0.02	19%	25 Jun →
mirage	13–11	-0.03	18%	25 Jun →
nuke	12–12	-0.04	19%	24 Jun →
inferno	13–9	-0.06	13%	24 Jun →
inferno	13–11	0.01	11%	23 Jun →
anubis	13–5	0.02	15%	23 Jun →
dust2	5–13	-0.00	26%	23 Jun →
nuke	13–5	0.04	13%	22 Jun →
overpass	15–15	-0.01	19%	22 Jun →
inferno	13–2	0.00	16%	22 Jun →
train	13–1	0.13	24%	22 Jun →
cache	7–13	0.00	15%	21 Jun →
inferno	9–3	0.01	9%	21 Jun →
nuke	13–4	0.01	47%	21 Jun →
overpass	16–13	-0.03	25%	21 Jun →
nuke	13–10	0.03	15%	21 Jun →
mirage	13–9	-0.00	27%	21 Jun →
anubis	13–3	0.10	5%	21 Jun →
nuke	13–7	0.09	26%	20 Jun →
mirage	5–13	-0.00	29%	20 Jun →
inferno	14–16	-0.04	17%	20 Jun →
overpass	13–4	-0.02	14%	19 Jun →
inferno	7–13	0.05	43%	19 Jun →
mirage	13–4	0.07	14%	19 Jun →
overpass	11–13	-0.03	15%	18 Jun →
ancient	16–12	0.03	24%	18 Jun →
nuke	11–13	-0.05	12%	18 Jun →
overpass	13–10	-0.01	11%	18 Jun →
mirage	10–13	-0.03	9%	18 Jun →
inferno	11–13	-0.00	23%	17 Jun →
mirage	13–7	-0.06	17%	17 Jun →
nuke	13–9	0.08	20%	17 Jun →
dust2	4–13	-0.09	11%	16 Jun →
nuke	10–13	-0.03	34%	16 Jun →
mirage	2–13	-0.04	24%	16 Jun →
mirage	4–13	-0.02	30%	15 Jun →
anubis	13–11	-0.04	16%	15 Jun →
nuke	11–13	0.01	30%	15 Jun →
nuke	10–13	-0.02	5%	15 Jun →
overpass	13–9	0.05	41%	15 Jun →
anubis	10–13	-0.09	12%	15 Jun →
nuke	13–11	-0.02	16%	15 Jun →
ancient	13–4	0.09	14%	14 Jun →
mirage	13–7	-0.04	17%	14 Jun →
dust2	16–12	-0.03	9%	14 Jun →
mirage	3–13	-0.06	18%	14 Jun →
dust2	10–13	0.00	25%	14 Jun →
ancient	13–10	0.06	10%	14 Jun →
nuke	13–6	0.01	21%	14 Jun →
ancient	6–13	0.01	9%	14 Jun →
office	4–5	0.05	5%	14 Jun →
overpass	13–6	0.10	21%	13 Jun →
mirage	7–13	0.01	18%	13 Jun →
nuke	11–13	-0.03	15%	13 Jun →
dust2	9–13	-0.01	24%	13 Jun →