WASTE — CS2 Stats

76561198320703517[U:1:360437789]

583Tracked matches43%Win rate2021Tracked since

1,581Hours in CS12Hrs last 2 wks

CSDB Rating3.3 Learning

Premier CS Rating9,463Light Blue band · top ~57.5% of ranked players (population est.)

CSDB Leaderboard#9845 of 13314 tracked

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim34

Positioning57

Utility36

0–100 skill scores via Leetify.

Recent form

COLD47–46–7Last 10047%Win rateWLLLWWLLLL

Last 10 vs previous 10: -10pp win rate · -0.06 avg rating

Player DNA

Aim3.4

Aggression8.0

Utility3.6

Positioning5.7

Opening Duels4.3

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 ropz 81% 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

T-side openings. Opening success drops from 57% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim3.4

Positioning5.7

Utility3.6

Mechanics1.6

Opening Duels4.3

Win Impact2.6

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time617ms−66ms

first ⅓ avg 683ms → last ⅓ avg 617ms

Headshot accuracy18.3%+1.3%

first ⅓ avg 17.1% → last ⅓ avg 18.3%

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

0.22Best rating — vertigo 9–6

13–0Biggest win — dust2

5Longest win streak

4–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 60% over 10infernoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	21	8–13	38%	0.03
nuke	B	19	10–9	53%	0.03
cache	A	16	9–7	56%	-0.00
dust2	B	13	6–7	46%	-0.00
inferno	C	11	4–7	36%	-0.02
ancient	A	10	6–4	60%	0.02
anubis	—	4	2–2	50%	-0.03
vertigo	—	3	2–1	67%	0.07
debris	—	2	0–2	0%	-0.15
eldorado	—	1	0–1	0%	-0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,921Lifetime kills

0.88K/D

1,753Matches

35.8%Match win rate

38.3%Headshot %

9.4%Shot accuracy

4,350MVPs

571Hours (in match)

1,523Bombs planted

330Bombs defused

Most-used weapons

AK-476,236

M4A4 / M4A1-S4,625

AWP3,085

P2000 / USP-S2,255

Desert Eagle1,365

MP7978

Glock-18963

SSG 08867

Galil AR593

Negev588

Lifetime map wins

2,426nuke

1,730dust2

1,103inferno

734vertigo

345lake

182office

182train

130cbble

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.

17.3%Headshot accuracy

31.1%Accuracy (enemy spotted)

34.8%Spray accuracy

57.2%Counter-strafing

11.9°Preaim

621msReaction time

37.7%T opening success

56.7%CT opening success

0.46Enemies flashed / flash

5.0%Flash assists

4.36HE damage / grenade

9.01Flashes / 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 0.4585 — 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 37.6858% — below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	-0.04	24%	24 Aug →
dust2	5–13	-0.10	7%	24 Aug →
dust2	7–13	0.05	16%	23 Aug →
mirage	7–13	-0.00	8%	23 Aug →
nuke	13–6	-0.01	32%	23 Aug →
nuke	13–6	0.02	12%	23 Aug →
mirage	14–16	-0.06	15%	23 Aug →
inferno	11–13	0.00	13%	22 Aug →
inferno	8–13	-0.06	21%	17 Aug →
dust2	7–13	-0.08	22%	16 Aug →
nuke	9–13	-0.02	15%	15 Aug →
ancient	13–10	-0.03	13%	15 Aug →
mirage	9–4	0.02	20%	15 Aug →
vertigo	9–6	0.22	19%	14 Aug →
nuke	6–9	0.12	14%	14 Aug →
nuke	9–13	-0.02	21%	12 Aug →
dust2	10–13	-0.03	9%	12 Aug →
mirage	13–9	0.04	18%	12 Aug →
cache	4–13	-0.05	13%	12 Aug →
mirage	8–13	0.08	13%	11 Aug →
anubis	13–5	0.02	14%	11 Aug →
nuke	13–6	0.11	24%	11 Aug →
mirage	11–13	0.07	17%	11 Aug →
cache	13–8	-0.03	13%	9 Aug →
mirage	15–15	0.08	17%	8 Aug →
nuke	10–13	-0.02	15%	8 Aug →
cache	5–13	-0.04	25%	8 Aug →
cache	15–15	-0.01	19%	7 Aug →
cache	13–7	0.03	20%	7 Aug →
nuke	13–7	-0.01	31%	6 Aug →
inferno	10–13	-0.02	21%	4 Aug →
debris	1–9	-0.27	18%	4 Aug →
nuke	9–5	0.19	45%	4 Aug →
nuke	13–5	0.15	13%	4 Aug →
nuke	9–7	-0.08	28%	4 Aug →
vertigo	5–9	-0.03	19%	3 Aug →
nuke	8–8	0.02	22%	3 Aug →
ancient	8–13	0.06	19%	3 Aug →
ancient	13–11	0.04	12%	3 Aug →
debris	6–9	-0.03	14%	3 Aug →
nuke	9–13	-0.06	17%	2 Aug →
inferno	7–13	0.01	15%	2 Aug →
vertigo	13–4	0.02	15%	2 Aug →
eldorado	3–9	-0.14	12%	1 Aug →
nuke	9–7	0.05	17%	1 Aug →
inferno	1–9	-0.27	8%	1 Aug →
cache	13–5	-0.02	10%	31 Jul →
dust2	13–2	0.02	17%	31 Jul →
mirage	13–7	0.13	12%	28 Jul →
cache	13–8	0.01	14%	28 Jul →
mirage	13–10	0.04	14%	26 Jul →
mirage	4–13	-0.09	7%	26 Jul →
inferno	13–9	0.07	18%	20 Jul →
inferno	13–2	0.04	13%	20 Jul →
mirage	13–16	0.03	18%	20 Jul →
cache	6–13	-0.11	8%	19 Jul →
anubis	7–13	-0.06	5%	19 Jul →
cache	13–3	-0.05	8%	19 Jul →
nuke	15–15	-0.00	6%	18 Jul →
cache	13–6	0.08	17%	18 Jul →
inferno	13–11	-0.03	9%	18 Jul →
cache	13–7	0.03	17%	18 Jul →
nuke	13–9	0.08	17%	15 Jul →
dust2	13–4	0.04	17%	15 Jul →
mirage	11–13	0.03	14%	14 Jul →
inferno	6–9	0.01	57%	13 Jul →
cache	7–1	0.06	20%	12 Jul →
inferno	8–13	-0.01	15%	12 Jul →
mirage	13–8	0.05	16%	12 Jul →
ancient	11–13	0.05	17%	12 Jul →
cache	11–13	-0.02	17%	12 Jul →
nuke	13–10	0.12	17%	11 Jul →
dust2	3–13	-0.04	18%	11 Jul →
cache	11–13	-0.02	32%	10 Jul →
dust2	12–12	0.03	13%	7 Jul →
cache	13–7	0.03	23%	6 Jul →
cache	12–12	0.06	7%	6 Jul →
dust2	7–13	0.03	18%	6 Jul →
anubis	10–13	-0.03	9%	6 Jul →
ancient	6–11	-0.09	18%	2 Jul →
ancient	13–4	0.11	16%	29 Jun →
mirage	13–9	0.10	30%	28 Jun →
ancient	11–13	-0.00	18%	28 Jun →
nuke	10–13	-0.00	9%	27 Jun →
mirage	11–13	0.06	25%	27 Jun →
nuke	8–13	-0.01	13%	26 Jun →
anubis	13–8	-0.04	18%	26 Jun →
ancient	13–10	-0.01	16%	25 Jun →
mirage	9–13	0.06	16%	19 Jun →
mirage	3–13	-0.03	16%	19 Jun →
dust2	13–0	0.02	18%	13 Jun →
mirage	13–7	0.10	14%	12 Jun →
dust2	13–6	0.00	10%	12 Jun →
mirage	3–13	-0.01	9%	11 Jun →
dust2	5–0	0.04	22%	11 Jun →
mirage	15–15	-0.07	13%	11 Jun →
mirage	13–5	-0.02	21%	10 Jun →
ancient	13–10	0.01	10%	10 Jun →
inferno	13–10	0.03	16%	10 Jun →
ancient	13–2	0.05	33%	8 Jun →