Goop — CS2 Stats

US76561198346795861[U:1:386530133]Steam profile ↗✓ No bans

1,724Tracked matches48%Win rate2020Tracked since

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating24,346Top 50% of 819 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning65

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateLWLWWLLLWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.7

Aggression7.2

Utility4.9

Positioning6.5

Opening Duels2.9

Clutch2.4

Limited utility dependence

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 b1t 92% 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

Reaction time. 563ms 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

Aim7.7

Positioning6.5

Utility4.9

Mechanics6.8

Opening Duels2.9

Win Impact4.4

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time560ms−41ms

first ⅓ avg 601ms → last ⅓ avg 560ms

Headshot accuracy16.4%+1.3%

first ⅓ avg 15.1% → last ⅓ avg 16.4%

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

0.10Best rating — nuke 13–2

13–2Biggest win — nuke

6Longest win streak

7–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 81% over 16ancientWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	23	10–13	43%	-0.01
nuke	S	16	13–3	81%	-0.02
cache	B	15	8–7	53%	0.00
anubis	B	13	7–6	54%	-0.00
ancient	C	11	4–7	36%	-0.01
mirage	C	11	4–7	36%	-0.02
train	—	4	2–2	50%	0.03
overpass	—	2	2–0	100%	0.03
vertigo	—	2	1–1	50%	0.02
office	—	2	1–1	50%	0.06
dust2	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

167Matches

63%Win rate

1.30Avg K/D

90.2ADR

45%Headshot %

Clutches & streaks

32%1v1 clutch win

29%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	30	63%	1.37	19.5
Anubis	30	67%	1.23	18.4
Ancient	21	71%	1.27	17.1
Inferno	11	91%	1.47	19.6
Nuke	10	50%	1.14	19.3
Dust2	8	50%	1.06	19.5
Vertigo	7	57%	1.52	16.4
Train	1	100%	1.80	27.0

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.

15.9%Headshot accuracy

38.4%Accuracy (enemy spotted)

40.4%Spray accuracy

80.5%Counter-strafing

9.8°Preaim

563msReaction time

35.2%T opening success

47.6%CT opening success

0.57Enemies flashed / flash

2.4%Flash assists

10.08HE damage / grenade

4.73Flashes / 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
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 35.2309% — 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.

36% win rate across 11 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
cache	8–13	-0.00	18%	28 Aug →
anubis	13–4	0.01	19%	27 Aug →
inferno	10–13	0.04	24%	27 Aug →
ancient	13–9	0.01	22%	27 Aug →
ancient	13–9	0.01	17%	27 Aug →
nuke	4–13	-0.14	27%	25 Aug →
nuke	10–13	-0.01	20%	25 Aug →
inferno	11–13	-0.05	14%	25 Aug →
cache	13–4	-0.04	30%	25 Aug →
ancient	13–4	0.03	13%	25 Aug →
ancient	7–13	-0.07	12%	23 Aug →
cache	12–16	-0.03	11%	23 Aug →
cache	11–13	-0.04	17%	23 Aug →
anubis	3–13	-0.03	14%	23 Aug →
nuke	13–5	0.01	8%	23 Aug →
inferno	8–13	0.02	20%	23 Aug →
anubis	13–9	0.03	12%	23 Aug →
inferno	5–13	-0.04	21%	22 Aug →
ancient	11–13	-0.02	16%	22 Aug →
ancient	15–15	-0.01	8%	22 Aug →
inferno	13–6	0.02	19%	22 Aug →
nuke	8–13	-0.03	6%	21 Aug →
anubis	7–1	0.05	13%	21 Aug →
cache	13–7	0.06	24%	21 Aug →
ancient	13–4	0.02	14%	20 Aug →
cache	13–4	-0.03	8%	20 Aug →
inferno	13–3	-0.00	10%	20 Aug →
anubis	5–13	0.01	7%	20 Aug →
cache	12–16	0.01	23%	19 Aug →
inferno	13–6	-0.03	9%	19 Aug →
anubis	7–13	-0.03	19%	19 Aug →
nuke	13–11	-0.01	25%	18 Aug →
train	13–9	0.04	20%	18 Aug →
inferno	13–10	-0.03	11%	18 Aug →
overpass	13–3	0.02	26%	18 Aug →
vertigo	13–10	-0.03	17%	18 Aug →
office	13–6	0.03	40%	18 Aug →
cache	10–13	0.02	20%	16 Aug →
inferno	11–13	-0.03	22%	16 Aug →
anubis	13–8	-0.03	17%	16 Aug →
anubis	10–13	-0.06	31%	16 Aug →
nuke	13–6	-0.11	22%	16 Aug →
mirage	2–13	-0.02	26%	16 Aug →
anubis	10–13	0.02	15%	16 Aug →
anubis	15–15	0.00	9%	16 Aug →
nuke	13–4	0.01	19%	16 Aug →
mirage	9–13	-0.07	16%	16 Aug →
nuke	13–2	0.10	21%	15 Aug →
inferno	13–11	0.01	23%	15 Aug →
inferno	13–11	0.02	10%	14 Aug →
cache	13–11	-0.00	7%	14 Aug →
cache	13–6	0.09	18%	14 Aug →
ancient	11–13	0.00	16%	14 Aug →
cache	16–13	0.01	19%	14 Aug →
inferno	5–13	-0.03	16%	14 Aug →
inferno	13–7	0.03	13%	14 Aug →
inferno	7–13	0.03	13%	13 Aug →
train	13–6	0.02	29%	13 Aug →
anubis	13–11	-0.04	8%	13 Aug →
mirage	5–13	-0.06	16%	13 Aug →
cache	13–6	-0.03	24%	13 Aug →
cache	13–8	0.08	14%	13 Aug →
inferno	11–13	-0.00	14%	13 Aug →
office	10–13	0.09	21%	12 Aug →
train	10–13	-0.00	11%	12 Aug →
nuke	13–7	-0.01	11%	12 Aug →
inferno	13–8	0.00	9%	12 Aug →
inferno	11–13	-0.00	12%	12 Aug →
nuke	16–13	-0.02	20%	12 Aug →
inferno	7–13	-0.04	28%	12 Aug →
anubis	13–9	0.09	19%	11 Aug →
inferno	11–13	-0.01	18%	10 Aug →
mirage	11–13	-0.03	13%	10 Aug →
cache	9–13	-0.04	9%	10 Aug →
nuke	13–6	-0.03	27%	10 Aug →
mirage	6–13	-0.01	20%	9 Aug →
ancient	12–16	-0.08	1%	9 Aug →
mirage	13–8	0.01	5%	9 Aug →
nuke	13–9	-0.08	15%	9 Aug →
vertigo	12–12	0.06	13%	9 Aug →
nuke	13–10	-0.04	13%	8 Aug →
mirage	16–14	0.02	10%	8 Aug →
mirage	13–2	0.04	16%	8 Aug →
mirage	5–13	-0.06	10%	8 Aug →
ancient	6–13	0.01	18%	8 Aug →
inferno	13–7	-0.06	24%	8 Aug →
nuke	13–5	0.01	18%	8 Aug →
mirage	6–13	0.01	13%	8 Aug →
cache	11–13	-0.03	17%	8 Aug →
dust2	1–13	-0.02	12%	7 Aug →
train	12–12	0.05	13%	7 Aug →
anubis	13–10	-0.03	12%	7 Aug →
overpass	13–4	0.04	16%	6 Aug →
ancient	10–13	-0.05	9%	6 Aug →
mirage	13–8	-0.02	23%	6 Aug →
nuke	13–4	0.03	16%	6 Aug →
inferno	13–11	0.03	13%	5 Aug →
inferno	4–13	-0.01	14%	5 Aug →
inferno	8–13	-0.03	13%	5 Aug →
nuke	13–6	0.04	18%	4 Aug →