loco187 — CS2 Stats

BR76561199489556294[U:1:1529290566]Steam profile ↗✓ No bans

973Tracked matches43%Win rate2023Tracked since

CSDB Rating5.5 SolidHybrid Rifler

FaceitLevel 10 · 1,864 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning50

Utility62

0–100 skill scores via Leetify.

Recent form

COLD55–45Last 10055%Win rateLLLWWWLLLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

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

Aim7.6

Aggression5.0

Utility6.2

Positioning5.0

Opening Duels1.0

Clutch3.4

Strong CT-side openerEffective flashes

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 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Strengths

Flashes. 0.87 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim7.6

Positioning5.0

Utility6.2

Mechanics7.4

Opening Duels1.5

Win Impact2.8

Composite 5.5/10 (Solid), 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-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time588ms−53ms

first ⅓ avg 641ms → last ⅓ avg 588ms

Headshot accuracy27.0%+3.7%

first ⅓ avg 23.2% → last ⅓ avg 27.0%

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

0.09Best rating — mirage 13–4

16–2Biggest win — mirage

7Longest win streak

L3Current streak

16–13In matches decided by ≤2 rounds

26Overtime games

Map breakdown

nukeBest map · 71% over 7dust2Weakest map · 37% over 19

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	39	26–13	67%	0.01
dust2	C	19	7–12	37%	-0.00
ancient	A	14	9–5	64%	-0.01
nuke	S	7	5–2	71%	-0.01
inferno	C	7	3–4	43%	-0.03
anubis	C	5	2–3	40%	-0.02
overpass	—	4	1–3	25%	-0.03
vertigo	—	2	0–2	0%	-0.04
train	—	2	1–1	50%	0.01
cache	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,022Matches

53%Win rate

0.96Avg K/D

74.8ADR

62%Headshot %

Clutches & streaks

37%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	349	53%	1.00	15.1
Dust2	200	52%	0.95	14.9
Ancient	131	56%	0.91	14.9
Anubis	107	50%	0.99	15.2
Nuke	67	55%	0.92	14.3
Inferno	45	42%	0.87	14.5
Vertigo	24	50%	1.00	16.1
Overpass	19	47%	0.82	13.9

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.

27.1%Headshot accuracy

31.9%Accuracy (enemy spotted)

32.8%Spray accuracy

83.5%Counter-strafing

9.8°Preaim

591msReaction time

25.7%T opening success

42.3%CT opening success

0.87Enemies flashed / flash

9.2%Flash assists

6.46HE damage / grenade

10.56Flashes / 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 25.7387% — 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 19 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
mirage	10–13	0.02	30%	24 Aug →
mirage	11–13	0.00	35%	20 Aug →
mirage	7–13	-0.02	48%	15 Aug →
mirage	13–11	0.01	27%	11 Aug →
ancient	13–11	-0.03	19%	10 Aug →
dust2	16–13	-0.03	33%	9 Aug →
dust2	10–13	-0.05	21%	7 Aug →
vertigo	11–13	-0.05	19%	7 Aug →
dust2	16–19	-0.00	25%	1 Aug →
mirage	9–13	0.01	21%	29 Jul →
nuke	11–13	-0.01	21%	28 Jul →
cache	13–11	-0.02	13%	21 Jul →
ancient	1–13	-0.10	30%	20 Jul →
ancient	10–13	-0.02	11%	6 Jul →
dust2	6–13	-0.04	33%	6 Jul →
dust2	11–13	-0.03	23%	4 Jul →
dust2	11–13	0.00	20%	26 Jun →
anubis	7–13	-0.02	25%	24 Jun →
dust2	13–9	-0.02	29%	20 Jun →
mirage	6–13	-0.08	23%	10 Jun →
nuke	13–11	0.00	29%	9 Jun →
mirage	11–13	-0.00	45%	9 Jun →
anubis	13–7	-0.01	39%	7 Jun →
dust2	13–16	0.05	33%	30 May →
dust2	13–6	-0.00	26%	27 May →
ancient	13–4	-0.03	18%	29 Mar →
inferno	13–11	-0.05	26%	29 Mar →
mirage	13–6	0.00	39%	22 Mar →
dust2	13–8	0.01	29%	19 Mar →
mirage	16–14	0.05	27%	16 Mar →
inferno	6–13	-0.05	15%	14 Jan →
overpass	13–9	0.06	22%	1 Jan →
dust2	10–13	0.09	36%	1 Jan →
mirage	9–13	0.05	35%	1 Jan →
inferno	16–13	0.04	41%	1 Jan →
ancient	13–11	-0.00	23%	31 Dec →
mirage	11–13	0.02	28%	31 Dec →
inferno	4–13	-0.03	33%	31 Dec →
mirage	13–8	0.04	25%	31 Dec →
dust2	11–13	0.04	27%	31 Dec →
mirage	13–10	-0.01	24%	29 Dec →
dust2	14–16	0.00	28%	29 Dec →
nuke	13–9	0.03	17%	29 Dec →
mirage	13–11	0.08	27%	28 Dec →
mirage	13–10	0.02	24%	28 Dec →
nuke	19–17	-0.00	34%	28 Dec →
train	13–9	0.03	37%	28 Dec →
dust2	13–6	0.03	34%	28 Dec →
mirage	16–14	0.02	30%	28 Dec →
ancient	8–13	0.05	36%	26 Dec →
overpass	8–13	-0.06	19%	14 Dec →
mirage	8–13	-0.05	43%	21 Nov →
ancient	16–14	0.00	27%	20 Nov →
mirage	13–9	0.02	26%	30 Oct →
mirage	13–6	-0.01	26%	30 Sept →
dust2	10–13	-0.03	20%	29 Sept →
nuke	13–9	-0.04	27%	29 Sept →
ancient	13–8	-0.03	18%	28 Sept →
ancient	13–7	0.00	28%	18 Sept →
mirage	13–10	0.01	16%	9 Sept →
ancient	13–5	-0.05	28%	8 Sept →
ancient	9–13	-0.02	21%	31 Aug →
mirage	13–11	0.03	18%	29 Aug →
inferno	7–13	-0.03	30%	28 Aug →
mirage	13–5	0.04	26%	23 Aug →
anubis	19–22	-0.03	24%	31 Jan →
nuke	7–13	-0.04	36%	15 Jan →
mirage	7–13	0.00	33%	12 Jan →
ancient	13–4	0.04	12%	12 Jan →
mirage	10–13	-0.02	24%	11 Jan →
ancient	13–6	0.06	34%	6 Jan →
dust2	7–13	0.00	27%	21 Dec →
ancient	9–13	-0.03	19%	18 Dec →
train	10–13	-0.02	23%	16 Dec →
anubis	13–7	0.04	33%	28 Nov →
dust2	13–2	-0.06	19%	17 Nov →
dust2	13–11	-0.06	24%	7 Nov →
dust2	11–13	0.01	36%	4 Nov →
mirage	13–5	0.07	29%	20 Oct →
mirage	13–4	0.09	44%	13 Sept →
nuke	13–11	0.02	35%	7 Sept →
mirage	13–8	-0.04	22%	19 Jan →
mirage	11–13	0.01	28%	4 Jan →
mirage	13–2	0.06	40%	28 Sept →
mirage	16–10	-0.02	24%	27 Aug →
inferno	14–16	-0.05	19%	27 Aug →
anubis	13–16	-0.07	7%	27 Aug →
mirage	16–2	0.05	29%	27 Aug →
mirage	16–14	-0.05	16%	27 Aug →
overpass	5–16	-0.06	22%	26 Aug →
mirage	16–10	-0.03	16%	26 Aug →
mirage	16–13	0.00	15%	25 Aug →
mirage	16–4	0.07	17%	25 Aug →
mirage	16–11	0.03	24%	18 Aug →
mirage	19–17	0.05	16%	16 Jul →
mirage	16–12	-0.03	19%	10 Jul →
mirage	11–16	-0.10	14%	3 Jul →
vertigo	9–16	-0.03	17%	3 Jul →
inferno	16–12	0.00	13%	2 Jul →
overpass	17–19	-0.05	18%	29 Jun →