157 verdadeiro real trap 🥵🔫🔪 — CS2 Stats

BR76561198053186000[U:1:92920272]Steam profile ↗✓ No bans

1,399Tracked matches37%Win rate2020Tracked since

CSDB Rating6.7 SolidSupport

CSDB Leaderboard#188969 of 231166 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,892 → 2,892

+3Tracked matches · now 1,399

−3.3ppWin rate · 40.0% → 36.7%

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 40 days played since 22 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Faceit ELO: 2,892 +0 30 Aug – 16 Sept · 4 observations

2,892Highest Faceit ELO seen on CSDB

40Days played since 2026-03-22

Faceit ELO

At peak — 2,892
Next: 3,000 ELO at 3,000 — 108 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-08-30
Level 10 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim91

Positioning58

Utility60

0–100 skill scores via Leetify.

Recent form

COLD38–62Last 10038%Win rateLLLLWWLLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −4.0pp headshot accuracy · −34ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 20%
Avg reaction 513ms

Last 10

2–8 · 20% win rate
Avg rating -0.00
Avg headshot accuracy 18%
Avg reaction 460ms

Last 20

5–15 · 25% win rate
Avg rating -0.01
Avg headshot accuracy 20%
Avg reaction 476ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim9.1

Utility6.0

Positioning5.8

Opening Duels4.2

Clutch3.8

Sharp aimerExcellent counter-strafingStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like NiKo 95% playstyle similarity

Most alike: aim profile, 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 91 — the mechanical foundation is a clear strength.

Areas to improve

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

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 55% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.1

Positioning5.8

Utility6.0

Mechanics8.6

Opening Duels4.1

Win Impact0.6

Composite 6.7/10 (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-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time498ms−58ms

first ⅓ avg 556ms → last ⅓ avg 498ms

Headshot accuracy21.1%−0.7%

first ⅓ avg 21.8% → last ⅓ avg 21.1%

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.

Personal bests

0.12Best match rating · 13–1 · ancient, 15 Jul →

54%Best headshot accuracy · 2–9 · inferno, 22 Mar →

352msFastest reaction time · 10–13 · ancient, 1 Sept →

13–1Biggest win · ancient, 15 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L4Current streak

11–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 50% over 12cacheWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	11–16	41%	-0.01
ancient	D	21	7–14	33%	0.00
dust2	C	21	8–13	38%	-0.00
nuke	B	12	6–6	50%	-0.00
inferno	C	10	4–6	40%	-0.00
cache	D	7	2–5	29%	0.01
overpass	—	2	0–2	0%	0.06

Across the last 100 tracked matches.

Faceit stats

Combat

1,137Matches

58%Win rate

1.39Avg K/D

83.3ADR

55%Headshot %

Clutches & streaks

39%1v1 clutch win

21%1v2 clutch win

16Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	225	52%	1.23	16.6
Ancient	104	70%	1.31	17.3
Nuke	77	56%	1.22	16.0
Dust2	70	56%	1.32	16.5
Anubis	66	53%	1.39	18.4
Inferno	22	50%	1.93	15.1
Vertigo	11	64%	1.26	18.1
Train	9	44%	1.38	19.1

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.

20.5%Headshot accuracy

39.8%Accuracy (enemy spotted)

41.4%Spray accuracy

88.9%Counter-strafing

9.3°Preaim

498msReaction time

38.0%T opening success

54.9%CT opening success

0.54Enemies flashed / flash

5.8%Flash assists

7.42HE damage / grenade

14.05Flashes / 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 37.9905% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–16	-0.03	22%	20 Sept →
ancient	8–13	0.00	22%	20 Sept →
mirage	8–13	0.07	15%	3 Sept →
cache	4–13	-0.03	22%	3 Sept →
nuke	13–9	0.02	22%	2 Sept →
dust2	16–14	-0.01	14%	2 Sept →
ancient	11–13	-0.00	14%	2 Sept →
inferno	2–13	-0.01	18%	1 Sept →
ancient	10–13	0.00	16%	1 Sept →
mirage	13–16	-0.03	19%	27 Aug →
ancient	5–13	-0.05	20%	27 Aug →
mirage	4–6	-0.04	40%	27 Aug →
cache	13–5	0.04	30%	27 Aug →
ancient	13–11	0.01	25%	26 Aug →
mirage	13–8	-0.05	26%	26 Aug →
dust2	2–13	0.01	16%	26 Aug →
mirage	10–13	-0.04	25%	26 Aug →
cache	5–13	-0.03	18%	25 Aug →
mirage	6–13	-0.06	12%	25 Aug →
ancient	12–16	0.03	12%	15 Aug →
mirage	22–20	-0.01	27%	15 Aug →
dust2	7–13	-0.04	35%	15 Aug →
mirage	4–13	0.04	15%	10 Aug →
ancient	13–16	-0.01	19%	10 Aug →
inferno	13–10	0.04	18%	10 Aug →
dust2	13–11	0.04	19%	9 Aug →
mirage	13–6	-0.00	20%	9 Aug →
mirage	13–6	-0.00	20%	9 Aug →
mirage	8–13	-0.01	19%	6 Aug →
inferno	13–2	-0.01	24%	6 Aug →
cache	11–13	0.04	26%	6 Aug →
ancient	3–13	-0.05	19%	4 Aug →
dust2	13–11	0.05	27%	4 Aug →
nuke	5–13	0.01	27%	4 Aug →
nuke	13–7	-0.02	7%	17 Jul →
cache	16–13	0.05	25%	17 Jul →
dust2	7–13	-0.08	27%	17 Jul →
mirage	13–3	0.06	34%	15 Jul →
ancient	13–1	0.12	16%	15 Jul →
mirage	8–13	-0.05	8%	7 Jul →
inferno	13–5	0.02	37%	7 Jul →
ancient	9–13	0.00	21%	7 Jul →
ancient	13–3	-0.02	16%	5 Jul →
dust2	13–10	0.01	32%	4 Jul →
inferno	13–8	0.05	19%	4 Jul →
dust2	13–10	0.06	23%	2 Jul →
mirage	13–9	0.07	18%	2 Jul →
inferno	8–13	-0.06	24%	2 Jul →
dust2	10–13	0.04	17%	30 Jun →
ancient	13–5	0.06	17%	30 Jun →
mirage	14–16	0.01	17%	30 Jun →
nuke	16–14	-0.01	17%	27 Jun →
mirage	5–13	-0.07	38%	25 Jun →
ancient	0–13	-0.07	20%	25 Jun →
dust2	8–13	0.00	20%	24 Jun →
inferno	5–13	0.04	39%	24 Jun →
ancient	11–13	0.05	28%	4 Jun →
mirage	13–10	0.07	17%	4 Jun →
dust2	11–13	0.04	22%	4 Jun →
ancient	7–13	-0.08	17%	29 May →
ancient	10–6	0.01	18%	29 May →
dust2	11–13	-0.04	15%	29 May →
dust2	5–13	-0.08	24%	29 May →
nuke	9–13	-0.02	20%	27 May →
cache	9–13	0.01	44%	29 Apr →
nuke	3–13	0.01	16%	28 Apr →
dust2	4–13	-0.06	16%	28 Apr →
nuke	16–14	0.03	21%	26 Apr →
dust2	9–13	-0.00	24%	26 Apr →
mirage	3–13	-0.08	21%	26 Apr →
mirage	4–13	-0.10	13%	25 Apr →
dust2	13–2	0.03	13%	24 Apr →
dust2	3–13	-0.02	26%	24 Apr →
mirage	9–13	-0.04	15%	4 Apr →
dust2	10–13	-0.00	18%	4 Apr →
dust2	13–8	-0.00	20%	4 Apr →
nuke	1–13	-0.11	26%	4 Apr →
ancient	10–13	0.01	11%	4 Apr →
mirage	13–4	0.02	22%	3 Apr →
nuke	13–4	0.05	24%	3 Apr →
overpass	9–13	0.05	27%	2 Apr →
ancient	3–13	-0.01	28%	2 Apr →
mirage	13–8	-0.00	15%	1 Apr →
mirage	9–13	-0.04	27%	31 Mar →
dust2	5–13	-0.04	18%	31 Mar →
overpass	6–13	0.07	26%	28 Mar →
ancient	6–13	-0.01	17%	28 Mar →
inferno	13–16	0.01	16%	26 Mar →
ancient	13–11	0.03	19%	26 Mar →
nuke	2–13	0.02	26%	26 Mar →
inferno	2–13	0.02	13%	24 Mar →
dust2	13–11	0.05	26%	24 Mar →
mirage	3–13	-0.06	27%	24 Mar →
mirage	9–13	0.04	29%	23 Mar →
nuke	7–13	-0.06	19%	23 Mar →
ancient	13–10	-0.01	14%	23 Mar →
mirage	19–15	0.07	18%	23 Mar →
mirage	13–11	0.05	18%	22 Mar →
nuke	13–11	0.02	29%	22 Mar →
inferno	2–9	-0.11	54%	22 Mar →