Crema De Porro — CS2 Stats

76561198060955744[U:1:100690016]

2,107Tracked matches40%Win rate2020Tracked since

3,808Hours in CS7Hrs last 2 wks

CSDB Rating4.4 DevelopingPassive Rifler

Premier CS Rating17,124Purple band · top ~19.9% of ranked players (population est.)

CSDB Leaderboard#9584 of 16600 tracked

FaceitLevel 4 · 1,006 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning34

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLLLLLWLWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.7

Aggression2.8

Utility4.3

Positioning3.4

Opening Duels0.2

Clutch3.4

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 NiKo 78% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Reaction time. 637ms 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

Aim6.7

Positioning3.4

Utility4.3

Mechanics5.5

Opening Duels0.9

Win Impact1.7

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-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time645ms−39ms

first ⅓ avg 684ms → last ⅓ avg 645ms

Headshot accuracy19.2%−2.4%

first ⅓ avg 21.6% → last ⅓ avg 19.2%

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 — inferno 13–1

13–1Biggest win — inferno

8Longest win streak

L5Current streak

8–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 67% over 9ancientWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	28	17–11	61%	-0.00
anubis	D	17	5–12	29%	-0.03
mirage	B	13	6–7	46%	-0.01
dust2	C	10	4–6	40%	-0.03
ancient	D	10	2–8	20%	-0.03
nuke	S	9	6–3	67%	-0.01
overpass	D	7	2–5	29%	-0.02
cache	A	5	3–2	60%	-0.03
poseidon	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,222Lifetime kills

0.83K/D

9,721Matches

69.9%Match win rate · Top 5% of tracked players

38.5%Headshot %

12.4%Shot accuracy · Top 50% of tracked players

12,435MVPs

2,160Hours (in match)

4,120Bombs planted

998Bombs defused

Most-used weapons

AK-4720,357

AWP18,157

M4A4 / M4A1-S11,744

Desert Eagle6,225

P2000 / USP-S5,349

Glock-183,926

MP92,919

MAC-102,389

SSG 081,904

Knife1,524

Lifetime map wins

16,201inferno

6,773dust2

2,251nuke

1,774vertigo

556train

333cbble

285lake

144office

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

Faceit stats

Combat

77Matches

57%Win rate

0.90Avg K/D

76.5ADR

37%Headshot %

Clutches & streaks

37%1v1 clutch win

15%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	55%	0.87	13.6
Dust2	10	60%	0.93	15.2
Inferno	8	38%	0.87	15.9
Nuke	5	60%	0.80	14.0
Overpass	3	100%	1.22	18.3
Vertigo	2	50%	0.70	13.0
Train	1	100%	0.63	12.0
Anubis	1	100%	0.59	10.0

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.

18.9%Headshot accuracy

34.1%Accuracy (enemy spotted)

37.6%Spray accuracy

74.9%Counter-strafing

8.4°Preaim

637msReaction time

24.9%T opening success

37.1%CT opening success

0.50Enemies flashed / flash

2.7%Flash assists

13.04HE damage / grenade

3.73Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7343 — below the 4 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 24.8746% — 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.

20% win rate across 10 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	10–13	-0.02	17%	27 Aug →
inferno	4–13	0.01	17%	27 Aug →
dust2	9–13	0.02	37%	21 Aug →
dust2	7–13	-0.02	18%	19 Aug →
ancient	8–13	-0.04	19%	19 Aug →
nuke	13–11	0.00	13%	18 Aug →
ancient	11–13	0.03	31%	18 Aug →
inferno	13–9	-0.01	29%	18 Aug →
cache	13–8	-0.03	22%	17 Aug →
nuke	13–5	-0.04	29%	17 Aug →
nuke	13–5	0.04	21%	17 Aug →
inferno	13–1	0.05	29%	17 Aug →
anubis	9–13	-0.12	4%	13 Aug →
inferno	0–6	-0.02	33%	13 Aug →
anubis	7–13	-0.03	23%	9 Aug →
inferno	8–13	-0.08	0%	7 Aug →
nuke	13–6	-0.03	14%	7 Aug →
mirage	8–13	-0.03	16%	6 Aug →
inferno	13–8	0.02	23%	6 Aug →
cache	1–13	-0.04	40%	6 Aug →
mirage	6–13	0.00	24%	5 Aug →
anubis	13–1	0.01	7%	5 Aug →
ancient	8–13	-0.03	8%	4 Aug →
cache	1–13	-0.06	16%	3 Aug →
inferno	9–13	-0.09	6%	2 Aug →
anubis	9–13	-0.07	23%	2 Aug →
inferno	13–7	0.02	11%	29 Jul →
inferno	13–1	0.06	17%	29 Jul →
anubis	4–13	-0.06	19%	28 Jul →
inferno	13–8	-0.01	16%	28 Jul →
anubis	5–13	-0.06	21%	27 Jul →
overpass	11–13	-0.04	17%	26 Jul →
ancient	6–13	-0.05	14%	24 Jul →
mirage	13–3	0.03	20%	20 Jul →
dust2	13–11	-0.08	13%	20 Jul →
ancient	13–8	0.03	20%	20 Jul →
dust2	10–13	-0.05	29%	18 Jul →
mirage	8–13	-0.03	12%	18 Jul →
ancient	8–13	-0.04	6%	17 Jul →
dust2	6–13	-0.07	20%	17 Jul →
inferno	9–13	-0.04	23%	16 Jul →
cache	13–8	-0.00	22%	16 Jul →
anubis	13–11	0.03	15%	16 Jul →
inferno	16–12	0.05	12%	15 Jul →
cache	13–11	0.01	11%	15 Jul →
dust2	13–7	-0.00	21%	12 Jul →
ancient	13–5	-0.10	15%	11 Jul →
nuke	13–9	0.01	15%	9 Jul →
poseidon	9–7	0.06	32%	8 Jul →
anubis	10–13	0.04	35%	27 Jun →
ancient	5–13	-0.03	21%	27 Jun →
mirage	11–2	0.01	33%	27 Jun →
anubis	13–8	-0.04	13%	27 Jun →
inferno	13–11	-0.03	21%	25 Jun →
mirage	10–13	-0.03	18%	25 Jun →
anubis	13–7	-0.09	3%	25 Jun →
inferno	8–13	0.00	20%	24 Jun →
mirage	13–10	-0.01	23%	24 Jun →
inferno	13–7	0.04	23%	24 Jun →
inferno	13–10	-0.07	17%	23 Jun →
anubis	15–15	-0.05	8%	23 Jun →
inferno	11–13	-0.01	20%	22 Jun →
inferno	13–3	0.03	14%	22 Jun →
anubis	1–7	0.03	45%	21 Jun →
ancient	5–13	-0.03	30%	20 Jun →
inferno	5–13	-0.07	10%	20 Jun →
mirage	2–13	-0.03	8%	20 Jun →
inferno	5–13	0.04	43%	20 Jun →
anubis	13–8	-0.04	20%	19 Jun →
mirage	13–3	0.04	28%	19 Jun →
overpass	13–6	-0.02	23%	19 Jun →
anubis	14–16	-0.03	16%	18 Jun →
nuke	14–16	0.00	25%	18 Jun →
mirage	16–13	0.03	18%	17 Jun →
inferno	16–13	0.03	12%	17 Jun →
anubis	6–13	-0.02	39%	16 Jun →
overpass	1–13	-0.01	18%	12 Jun →
overpass	13–5	0.03	12%	12 Jun →
inferno	13–7	0.02	18%	12 Jun →
inferno	13–7	0.03	38%	10 Jun →
overpass	8–13	-0.08	21%	10 Jun →
mirage	9–13	-0.06	17%	10 Jun →
dust2	9–13	-0.08	14%	8 Jun →
inferno	13–2	-0.01	19%	8 Jun →
ancient	8–13	-0.02	10%	8 Jun →
nuke	13–11	-0.00	14%	7 Jun →
overpass	15–15	0.01	18%	7 Jun →
dust2	13–5	0.05	29%	7 Jun →
mirage	2–13	0.02	13%	6 Jun →
dust2	13–1	-0.04	12%	6 Jun →
inferno	13–10	-0.01	21%	6 Jun →
dust2	4–13	-0.02	10%	6 Jun →
anubis	8–13	-0.04	14%	6 Jun →
nuke	11–13	0.01	22%	6 Jun →
inferno	13–11	0.03	15%	5 Jun →
nuke	3–13	-0.05	19%	5 Jun →
inferno	8–13	-0.03	14%	5 Jun →
anubis	10–13	-0.01	26%	5 Jun →
mirage	13–8	-0.02	32%	5 Jun →
overpass	2–13	-0.03	63%	4 Jun →