loot — CS2 Stats

76561198069954956[U:1:109689228]

415Tracked matches59%Win rate2020Tracked since

731Hours in CS

CSDB Rating4.8 DevelopingHybrid Rifler

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning43

Utility25

0–100 skill scores via Leetify.

Recent form

COLD46–43–11Last 10046%Win rateLLLWTLLWWL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim6.4

Aggression5.2

Utility2.5

Positioning4.3

Opening Duels1.2

Clutch0.0

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 81% playstyle similarity

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

Where you differ: lower aim profile; 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

Areas to improve

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

Reaction time. 550ms 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

Aim6.4

Positioning4.3

Utility2.5

Mechanics5.0

Opening Duels1.2

Win Impact8.1

Composite 4.8/10 (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 -0.02 → last ⅓ avg -0.02

Reaction time554ms+19ms

first ⅓ avg 536ms → last ⅓ avg 554ms

Headshot accuracy20.6%−6.6%

first ⅓ avg 27.3% → last ⅓ avg 20.6%

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

0.12Best rating — cache 13–3

13–1Biggest win — inferno

5Longest win streak

L3Current streak

7–4In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 67% over 9infernoWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	18	7–11	39%	-0.03
mirage	A	16	9–7	56%	-0.01
cache	A	15	9–6	60%	-0.00
inferno	D	13	3–10	23%	-0.02
ancient	D	12	3–9	25%	-0.04
nuke	A	10	6–4	60%	-0.03
overpass	S	9	6–3	67%	-0.01
train	B	6	3–3	50%	-0.02
office	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,941Lifetime kills

0.82K/D

1,852Matches

40.2%Match win rate

32.2%Headshot %

16.3%Shot accuracy · Top 25% of tracked players

3,502MVPs

731Hours (in match)

1,276Bombs planted

348Bombs defused

Most-used weapons

AK-476,210

M4A4 / M4A1-S5,969

AWP5,437

SSG 082,251

P2000 / USP-S2,025

Glock-181,540

Desert Eagle1,359

P901,329

Knife1,074

P250990

Lifetime map wins

8,484dust2

987inferno

720nuke

202train

117lake

109vertigo

56cbble

50safehouse

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

Faceit stats

Combat

49Matches

55%Win rate

1.13Avg K/D

91.3ADR

42%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	67%	1.52	16.6
Inferno	8	50%	0.94	16.6
Vertigo	6	50%	0.80	13.0
Ancient	5	80%	1.02	14.0
Anubis	5	0%	0.61	9.6
Dust2	4	75%	1.16	17.8
Nuke	2	50%	1.00	17.0

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.

20.4%Headshot accuracy

32.1%Accuracy (enemy spotted)

35.3%Spray accuracy

72.6%Counter-strafing

10.2°Preaim

550msReaction time

31.7%T opening success

37.9%CT opening success

0.29Enemies flashed / flash

2.7%Flash assists

8.47HE damage / grenade

4.10Flashes / 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 0.288 — 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 31.7237% — below the 40% mark we flag

Spend your practice time on Inferno

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–13	-0.04	12%	26 Jun →
ancient	8–13	-0.08	29%	26 Jun →
inferno	8–13	-0.07	9%	19 Jun →
mirage	13–11	-0.03	26%	19 Jun →
ancient	12–12	-0.06	13%	10 Jun →
dust2	8–13	-0.01	14%	10 Jun →
overpass	6–13	-0.03	26%	10 Jun →
mirage	13–2	0.08	14%	9 Jun →
dust2	13–8	-0.06	9%	4 Jun →
cache	1–13	-0.12	17%	4 Jun →
cache	13–10	-0.02	20%	18 May →
dust2	12–12	-0.05	32%	18 May →
mirage	13–4	0.00	14%	18 May →
mirage	7–13	0.05	57%	13 May →
cache	13–7	-0.10	15%	13 May →
overpass	13–11	-0.08	15%	13 May →
cache	8–13	0.06	15%	9 May →
cache	13–9	-0.04	11%	9 May →
nuke	13–11	-0.04	15%	9 May →
cache	3–13	-0.06	22%	6 May →
inferno	13–10	-0.01	26%	4 May →
cache	13–5	0.08	20%	3 May →
cache	13–7	-0.02	13%	29 Apr →
cache	12–12	0.05	30%	29 Apr →
cache	13–3	0.12	23%	29 Apr →
cache	13–5	-0.00	16%	29 Apr →
cache	11–13	-0.02	18%	29 Apr →
cache	13–6	0.02	13%	29 Apr →
cache	9–13	0.01	41%	29 Apr →
cache	7–2	0.05	25%	29 Apr →
dust2	12–12	0.00	23%	22 Apr →
overpass	13–11	0.03	22%	21 Apr →
nuke	13–6	-0.08	26%	13 Apr →
ancient	12–12	0.01	18%	13 Apr →
dust2	5–13	-0.03	23%	8 Apr →
mirage	8–13	-0.01	21%	31 Mar →
nuke	4–13	0.03	18%	31 Mar →
dust2	9–13	-0.05	26%	31 Mar →
inferno	8–13	0.01	19%	31 Mar →
mirage	0–13	-0.05	24%	29 Mar →
inferno	5–13	-0.06	38%	29 Mar →
dust2	13–3	-0.02	30%	29 Mar →
inferno	9–13	0.01	21%	22 Mar →
mirage	13–10	-0.10	13%	22 Mar →
nuke	11–13	-0.05	18%	21 Mar →
dust2	13–9	-0.15	14%	20 Mar →
ancient	12–12	-0.02	13%	12 Mar →
mirage	13–8	-0.08	35%	12 Mar →
nuke	3–13	-0.09	33%	12 Mar →
overpass	3–13	-0.01	31%	12 Mar →
dust2	2–13	-0.05	20%	12 Mar →
ancient	13–8	-0.01	18%	16 Jan →
dust2	13–2	0.07	36%	16 Jan →
overpass	13–11	-0.02	17%	8 Jan →
inferno	12–12	0.03	32%	8 Jan →
mirage	3–13	0.03	35%	7 Jan →
inferno	11–13	-0.06	21%	7 Jan →
ancient	9–13	-0.00	41%	7 Jan →
dust2	7–13	0.00	15%	7 Jan →
mirage	13–3	0.08	19%	7 Jan →
train	2–13	-0.01	18%	7 Jan →
inferno	13–11	0.03	19%	7 Jan →
dust2	13–2	-0.02	18%	6 Jan →
train	13–5	0.02	26%	6 Jan →
overpass	4–0	-0.02	0%	6 Jan →
nuke	13–5	0.02	29%	6 Jan →
ancient	9–13	-0.03	30%	6 Jan →
mirage	13–3	0.04	22%	6 Jan →
inferno	8–13	-0.05	25%	6 Jan →
train	13–9	-0.04	17%	6 Jan →
mirage	13–10	-0.02	26%	3 Jan →
dust2	13–10	-0.07	17%	3 Jan →
mirage	12–12	-0.05	27%	3 Jan →
inferno	13–1	-0.01	27%	3 Jan →
nuke	13–7	-0.05	17%	3 Jan →
ancient	13–5	0.01	35%	3 Jan →
dust2	12–12	-0.02	32%	1 Jan →
train	5–13	-0.07	23%	1 Jan →
inferno	12–12	-0.00	9%	1 Jan →
overpass	13–7	0.06	29%	1 Jan →
train	13–5	0.10	25%	26 Dec →
dust2	13–2	0.04	21%	26 Dec →
nuke	13–8	0.00	26%	26 Dec →
dust2	2–13	-0.03	36%	26 Dec →
overpass	11–13	0.00	21%	26 Dec →
ancient	3–13	-0.10	25%	26 Dec →
mirage	4–13	-0.01	28%	26 Dec →
overpass	13–5	0.01	47%	24 Dec →
ancient	5–13	-0.09	37%	23 Dec →
nuke	2–13	-0.08	42%	23 Dec →
office	5–13	-0.02	43%	20 Dec →
train	6–13	-0.10	12%	20 Dec →
nuke	13–11	0.06	36%	20 Dec →
ancient	13–10	-0.05	25%	20 Dec →
mirage	6–13	-0.05	43%	20 Dec →
dust2	1–13	-0.01	43%	20 Dec →
mirage	13–2	0.01	41%	20 Dec →
inferno	8–13	-0.06	0%	20 Dec →
ancient	12–12	-0.03	19%	20 Dec →
dust2	6–13	-0.04	26%	16 Dec →