RoastPig — CS2 Stats

76561197966458103[U:1:6192375]✓ No bans

915Tracked matches50%Win rate2021Tracked since

1,784Hours in CS20Hrs last 2 wks

CSDB Rating4.6 Developing

Premier CS Rating11,270Blue band · top ~48.2% of ranked players (population est.)

CSDB Leaderboard#5883 of 8146 tracked

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim57

Positioning39

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateLWTLLLLWWW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim5.7

Aggression2.6

Utility5.7

Positioning3.9

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 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 36% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 580ms 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

Aim5.7

Positioning3.9

Utility5.7

Mechanics6.4

Opening Duels0.7

Win Impact5.0

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time582ms−100ms

first ⅓ avg 682ms → last ⅓ avg 582ms

Headshot accuracy9.5%−0.4%

first ⅓ avg 10.0% → last ⅓ avg 9.5%

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

0.06Best rating — ancient 13–9

13–1Biggest win — ancient

7Longest win streak

3–14In matches decided by ≤2 rounds

16Overtime games

Map breakdown

ancientBest map · 59% over 17dust2Weakest map · 37% over 30

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	30	11–19	37%	-0.02
nuke	B	24	11–13	46%	-0.02
anubis	C	19	8–11	42%	-0.02
ancient	A	17	10–7	59%	-0.01
inferno	C	9	4–5	44%	-0.02
cache	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,677Lifetime kills

0.82K/D

2,447Matches

40.9%Match win rate

39.5%Headshot %

9.5%Shot accuracy

3,886MVPs

1,156Hours (in match)

3,702Bombs planted

512Bombs defused

Most-used weapons

AK-478,334

M4A4 / M4A1-S7,576

P903,304

P2000 / USP-S1,881

AWP1,585

Galil AR1,566

SSG 081,527

P2501,222

Glock-181,211

FAMAS1,094

Lifetime map wins

7,150dust2

5,245nuke

4,905inferno

317train

291vertigo

149aztec

131dust

106cbble

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)

39.1%Spray accuracy

78.7%Counter-strafing

9.8°Preaim

580msReaction time

14.7%T opening success

35.7%CT opening success

0.55Enemies flashed / flash

6.5%Flash assists

10.68HE damage / grenade

10.77Flashes / 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 9.909% — below the 15% mark we flag
Aim Training →
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 14.6833% — below the 40% mark we flag

Spend your practice time on Dust 2

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

37% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	7–13	-0.00	9%	28 Aug →
nuke	16–14	-0.01	14%	28 Aug →
anubis	15–15	-0.02	7%	28 Aug →
nuke	11–13	-0.05	3%	27 Aug →
dust2	6–13	-0.07	8%	27 Aug →
nuke	4–13	-0.07	9%	27 Aug →
anubis	10–13	-0.05	6%	27 Aug →
nuke	13–10	0.05	15%	26 Aug →
dust2	13–7	0.03	5%	26 Aug →
nuke	13–2	-0.01	6%	26 Aug →
dust2	13–7	-0.01	13%	26 Aug →
inferno	13–8	-0.00	5%	25 Aug →
dust2	11–13	-0.04	14%	25 Aug →
anubis	16–12	0.01	14%	25 Aug →
inferno	13–9	-0.00	14%	23 Aug →
anubis	13–7	-0.04	6%	23 Aug →
ancient	13–1	0.00	11%	23 Aug →
nuke	14–16	-0.02	10%	23 Aug →
dust2	13–16	-0.04	12%	23 Aug →
dust2	11–13	-0.03	13%	22 Aug →
ancient	13–9	0.03	11%	22 Aug →
inferno	11–13	-0.05	6%	18 Aug →
ancient	15–15	-0.08	12%	18 Aug →
anubis	14–16	0.02	15%	17 Aug →
anubis	7–13	-0.05	5%	14 Aug →
nuke	13–9	-0.03	10%	12 Aug →
inferno	8–13	-0.03	13%	12 Aug →
ancient	13–10	0.06	7%	12 Aug →
dust2	7–13	-0.04	13%	12 Aug →
nuke	13–11	0.01	6%	10 Aug →
nuke	13–10	-0.05	7%	10 Aug →
anubis	8–13	-0.02	10%	10 Aug →
inferno	15–15	-0.05	6%	9 Aug →
ancient	13–16	-0.02	18%	9 Aug →
ancient	7–13	-0.08	21%	7 Aug →
nuke	8–13	-0.07	10%	7 Aug →
dust2	9–13	0.00	10%	7 Aug →
dust2	13–7	0.02	11%	7 Aug →
ancient	4–13	-0.09	12%	4 Aug →
anubis	7–13	0.03	22%	4 Aug →
inferno	11–13	-0.01	17%	2 Aug →
dust2	9–13	0.03	9%	2 Aug →
anubis	13–7	-0.04	7%	2 Aug →
nuke	13–8	0.01	12%	1 Aug →
anubis	13–8	-0.03	14%	1 Aug →
dust2	7–13	-0.01	11%	1 Aug →
nuke	13–3	0.01	6%	1 Aug →
nuke	15–15	-0.01	15%	1 Aug →
dust2	16–13	-0.01	18%	1 Aug →
inferno	13–9	0.03	16%	26 Jul →
nuke	13–6	0.05	5%	26 Jul →
nuke	9–13	-0.00	18%	26 Jul →
anubis	11–13	-0.08	8%	26 Jul →
anubis	11–13	0.06	13%	25 Jul →
ancient	13–6	-0.02	6%	25 Jul →
dust2	13–10	-0.01	8%	25 Jul →
ancient	13–6	-0.02	3%	25 Jul →
ancient	13–4	0.06	16%	25 Jul →
anubis	13–2	-0.01	5%	25 Jul →
dust2	13–11	-0.00	24%	23 Jul →
cache	11–13	0.02	13%	23 Jul →
dust2	13–8	-0.04	10%	23 Jul →
nuke	10–13	-0.01	15%	21 Jul →
ancient	8–13	-0.00	7%	21 Jul →
dust2	14–16	-0.03	13%	21 Jul →
ancient	13–4	0.04	12%	21 Jul →
dust2	11–13	-0.03	16%	16 Jul →
dust2	16–13	-0.04	13%	16 Jul →
anubis	13–10	0.01	5%	15 Jul →
dust2	15–15	0.01	9%	15 Jul →
nuke	13–8	0.01	8%	15 Jul →
nuke	11–13	-0.01	15%	14 Jul →
dust2	11–13	-0.03	11%	14 Jul →
nuke	10–13	-0.04	5%	14 Jul →
nuke	8–13	-0.06	13%	5 Jul →
dust2	4–13	-0.04	19%	5 Jul →
dust2	1–10	-0.08	0%	5 Jul →
dust2	13–9	-0.01	17%	5 Jul →
dust2	6–13	-0.01	4%	5 Jul →
ancient	4–13	-0.04	0%	4 Jul →
inferno	8–13	-0.05	6%	4 Jul →
nuke	5–13	-0.08	6%	29 Jun →
nuke	5–13	0.01	15%	29 Jun →
dust2	7–13	-0.06	14%	26 Jun →
anubis	15–15	-0.04	5%	26 Jun →
nuke	3–13	-0.04	13%	26 Jun →
dust2	6–13	-0.04	8%	26 Jun →
anubis	13–6	-0.04	10%	20 Jun →
dust2	7–13	-0.05	17%	19 Jun →
inferno	13–9	-0.06	16%	19 Jun →
anubis	13–4	-0.06	12%	19 Jun →
nuke	13–7	-0.01	7%	14 Jun →
dust2	13–5	-0.03	5%	14 Jun →
ancient	13–9	-0.02	15%	14 Jun →
ancient	13–9	0.02	11%	14 Jun →
dust2	13–6	-0.05	9%	13 Jun →
dust2	10–13	-0.01	13%	13 Jun →
ancient	8–13	-0.06	12%	13 Jun →
anubis	15–15	-0.01	6%	13 Jun →
ancient	13–9	0.06	9%	11 Jun →