Predador — CS2 Stats

BR76561198076668139[U:1:116402411]Steam profile ↗✓ No bans

148Tracked matches60%Win rate2022Tracked since

956Hours in CS

CSDB Rating6.5 SolidEntry Fragger

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim86

Positioning69

Utility29

0–100 skill scores via Leetify.

Recent form

HOT54–45–1Last 10054%Win rateWWWLWLLWWW

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.6

Aggression10.0

Utility2.9

Positioning6.9

Opening Duels6.2

Sharp aimerStrong CT-side openerLimited 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 s1mple 86% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 72% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 72% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim8.6

Positioning6.9

Utility2.9

Mechanics4.6

Opening Duels5.9

Win Impact8.3

Composite 6.5/10 (Solid), 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 rating0.05+0.01

first ⅓ avg 0.04 → last ⅓ avg 0.05

Reaction time594ms−20ms

first ⅓ avg 614ms → last ⅓ avg 594ms

Headshot accuracy22.9%+0.7%

first ⅓ avg 22.2% → last ⅓ avg 22.9%

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

0.20Best rating — inferno 9–4

13–1Biggest win — train

7Longest win streak

W3Current streak

6–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 63% over 19dust2Weakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	19	12–7	63%	0.04
cache	A	18	11–7	61%	0.05
mirage	C	18	8–10	44%	0.04
dust2	C	15	6–9	40%	0.03
overpass	A	10	6–4	60%	0.02
ancient	B	6	3–3	50%	0.02
inferno	A	5	3–2	60%	0.07
vertigo	—	3	2–1	67%	0.08
train	—	3	2–1	67%	0.08
office	—	2	1–1	50%	0.06
nuke	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,200Lifetime kills

1.28K/D · Top 25% of tracked players

2,376Matches

48.6%Match win rate · Top 50% of tracked players

38.3%Headshot %

12.1%Shot accuracy · Top 50% of tracked players

7,031MVPs

956Hours (in match)

2,074Bombs planted

689Bombs defused

Most-used weapons

AK-4712,873

AWP11,451

M4A4 / M4A1-S9,978

P2000 / USP-S2,989

Glock-182,262

MP72,232

P901,608

Tec-91,473

P2501,087

Knife1,043

Lifetime map wins

6,164dust2

2,379inferno

811nuke

622vertigo

503train

195cbble

187office

37safehouse

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.

22.8%Headshot accuracy

43.7%Accuracy (enemy spotted)

43.1%Spray accuracy

70.5%Counter-strafing

8.2°Preaim

599msReaction time

37.3%T opening success

72.4%CT opening success

0.32Enemies flashed / flash

5.1%Flash assists

12.97HE damage / grenade

1.73Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3228 — 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 37.2751% — 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.

40% win rate across 15 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
vertigo	13–11	0.16	27%	1 Aug →
cache	13–2	0.07	29%	1 Aug →
mirage	13–6	0.03	10%	30 Jul →
mirage	6–13	-0.01	19%	30 Jul →
anubis	9–0	-0.03	0%	25 Jul →
anubis	11–13	0.12	15%	22 Jul →
mirage	6–13	0.09	22%	19 Jul →
anubis	13–9	0.06	26%	12 Jul →
cache	13–9	-0.05	29%	12 Jul →
ancient	13–8	0.08	35%	11 Jul →
mirage	13–7	0.05	19%	6 Jul →
anubis	13–4	0.13	15%	6 Jul →
cache	13–5	0.10	25%	5 Jul →
cache	13–5	-0.00	33%	5 Jul →
dust2	5–13	0.00	36%	5 Jul →
mirage	13–11	0.05	18%	2 Jul →
anubis	5–13	0.02	19%	27 Jun →
overpass	10–13	-0.05	27%	27 Jun →
anubis	13–10	0.07	27%	27 Jun →
mirage	11–13	0.12	21%	26 Jun →
anubis	13–8	0.05	24%	24 Jun →
cache	5–13	0.03	22%	23 Jun →
mirage	13–6	0.10	36%	22 Jun →
anubis	1–13	-0.08	20%	22 Jun →
cache	10–13	0.04	12%	22 Jun →
train	13–4	0.12	21%	21 Jun →
anubis	13–9	0.05	9%	14 Jun →
mirage	13–7	0.05	18%	12 Jun →
mirage	10–13	0.12	60%	9 Jun →
ancient	4–13	-0.00	29%	7 Jun →
anubis	13–7	0.09	22%	7 Jun →
mirage	9–13	-0.02	18%	6 Jun →
vertigo	13–3	0.10	17%	6 Jun →
overpass	13–7	-0.01	31%	6 Jun →
cache	6–13	0.08	27%	4 Jun →
anubis	13–9	0.07	24%	4 Jun →
vertigo	2–13	-0.02	17%	4 Jun →
inferno	9–4	0.20	20%	31 May →
anubis	13–6	0.06	15%	31 May →
overpass	13–11	-0.01	22%	30 May →
mirage	13–8	0.06	35%	28 May →
cache	13–3	0.08	25%	25 May →
mirage	6–13	0.04	14%	24 May →
inferno	13–7	0.05	24%	24 May →
overpass	13–8	0.09	13%	24 May →
dust2	6–13	0.00	27%	23 May →
cache	9–13	0.01	22%	19 May →
anubis	8–13	0.01	16%	18 May →
dust2	4–13	-0.02	24%	18 May →
cache	13–7	0.14	19%	18 May →
cache	13–9	0.02	20%	18 May →
mirage	7–13	-0.05	27%	17 May →
mirage	4–13	-0.05	17%	17 May →
office	13–3	-0.02	18%	17 May →
cache	13–10	0.01	42%	16 May →
cache	13–6	0.06	15%	10 May →
cache	13–9	0.01	27%	10 May →
cache	10–13	0.09	20%	9 May →
anubis	6–13	0.03	27%	9 May →
cache	5–13	0.08	26%	9 May →
cache	13–2	0.03	10%	9 May →
dust2	9–13	0.02	22%	5 May →
office	12–12	0.13	19%	3 May →
dust2	13–11	-0.00	11%	3 May →
cache	12–16	0.03	24%	3 May →
dust2	10–13	0.03	25%	3 May →
ancient	13–9	-0.04	13%	2 May →
overpass	8–13	-0.02	17%	2 May →
inferno	10–13	0.04	19%	1 May →
nuke	9–13	0.05	24%	26 Apr →
anubis	9–13	0.02	12%	26 Apr →
dust2	8–13	0.06	27%	26 Apr →
train	13–1	0.16	33%	25 Apr →
train	5–13	-0.03	17%	25 Apr →
overpass	4–13	0.03	25%	25 Apr →
overpass	13–6	0.03	29%	22 Apr →
anubis	9–13	0.04	18%	21 Apr →
overpass	11–13	-0.04	13%	21 Apr →
anubis	16–13	0.05	18%	20 Apr →
dust2	13–10	0.06	22%	20 Apr →
mirage	10–13	-0.01	25%	19 Apr →
dust2	13–11	0.03	28%	19 Apr →
dust2	5–13	0.05	21%	18 Apr →
overpass	13–6	0.08	32%	12 Apr →
inferno	13–9	0.02	26%	12 Apr →
mirage	16–12	0.07	31%	4 Apr →
mirage	13–7	0.10	25%	4 Apr →
dust2	19–15	0.05	28%	3 Apr →
anubis	13–8	0.02	23%	28 Mar →
ancient	13–9	0.01	21%	28 Mar →
ancient	8–13	0.00	21%	26 Mar →
dust2	4–13	0.08	23%	25 Mar →
dust2	13–6	0.15	21%	25 Mar →
mirage	8–13	0.00	21%	22 Mar →
anubis	13–10	0.06	19%	21 Mar →
ancient	6–13	0.06	24%	21 Mar →
overpass	13–11	0.14	20%	21 Mar →
inferno	2–13	0.00	15%	17 Mar →
dust2	0–12	-0.01	19%	16 Mar →
dust2	13–9	0.01	17%	15 Mar →