lorimoney — CS2 Stats

76561199104664144[U:1:1144398416]

1,010Tracked matches57%Win rate2022Tracked since

1,748Hours in CS35Hrs last 2 wks

CSDB Rating7.8 StrongAggressive Rifler

Premier CS Rating26,315Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)

CSDB Leaderboard#1952 of 24864 tracked

FaceitLevel 10 · 1,296 ELOTop 12.4% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	56.8%	52.0%
Shot accuracy	10.7%	13.7%
Kill/death ratio	1.40	1.08
Match win rate	49.7%	48.8%

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Performance scores

Aim88

Positioning71

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWLTLWWLLWW

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8

Aggression10.0

Utility6.1

Positioning7.1

Opening Duels5.5

Clutch3.2

Sharp aimerStrong 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.

Your pro match

Plays most like donk 94% playstyle similarity

Most alike: utility contribution, positioning 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 66% 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

Aim8.8

Positioning7.1

Utility6.1

Mechanics7.7

Opening Duels5.5

Win Impact7.4

Composite 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.03

first ⅓ avg 0.02 → last ⅓ avg 0.05

Reaction time538ms−41ms

first ⅓ avg 579ms → last ⅓ avg 538ms

Headshot accuracy24.4%+3.0%

first ⅓ avg 21.3% → last ⅓ avg 24.4%

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

0.21Best rating — dust2 8–13

13–0Biggest win — inferno

4Longest win streak

8–4In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 69% over 13anubisWeakest map · 37% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	13–15	46%	0.04
anubis	C	19	7–12	37%	0.02
mirage	A	16	10–6	63%	0.02
ancient	S	13	9–4	69%	0.04
inferno	A	12	7–5	58%	0.02
cache	S	6	4–2	67%	0.06
nuke	—	3	0–3	0%	0.01
vertigo	—	2	0–2	0%	-0.00
train	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

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

Lifetime stats

53,733Lifetime kills

1.40K/D · Top 10% of Level 10 players

1,948Matches

49.7%Match win rate · Top 50% of Level 10 players

56.8%Headshot % · Top 50% of Level 10 players

10.7%Shot accuracy

4,890MVPs

1,329Hours (in match)

2,188Bombs planted

792Bombs defused

Most-used weapons

AK-4723,349

M4A4 / M4A1-S6,532

AWP5,775

Desert Eagle5,002

P2000 / USP-S3,537

Glock-181,704

Galil AR1,062

MP9922

FAMAS827

MAC-10571

Lifetime map wins

3,506dust2

2,638inferno

1,212nuke

713vertigo

478train

266cbble

54office

11lake

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

Faceit stats

Combat

331Matches

54%Win rate

1.40Avg K/D

86.7ADR

47%Headshot %

Clutches & streaks

36%1v1 clutch win

30%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	67	49%	1.36	17.6
Mirage	60	53%	1.25	16.4
Ancient	43	53%	1.39	17.2
Anubis	42	55%	1.28	16.6
Inferno	33	64%	1.47	18.8
Nuke	9	56%	1.48	19.1
Cache	6	100%	1.30	21.5
Overpass	2	100%	1.66	27.5

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.

23.8%Headshot accuracy

37.0%Accuracy (enemy spotted)

39.9%Spray accuracy

84.5%Counter-strafing

9.0°Preaim

530msReaction time

37.7%T opening success

66.4%CT opening success

0.56Enemies flashed / flash

8.9%Flash assists

7.64HE damage / grenade

8.76Flashes / 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 37.7487% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–0	0.06	50%	28 Aug →
nuke	6–13	0.05	28%	26 Aug →
ancient	12–12	0.09	18%	26 Aug →
dust2	5–13	0.14	36%	26 Aug →
cache	13–7	-0.00	23%	25 Aug →
dust2	13–1	-0.06	0%	24 Aug →
cache	5–13	0.03	34%	23 Aug →
anubis	5–13	0.10	12%	23 Aug →
dust2	13–10	0.11	21%	23 Aug →
dust2	13–4	0.13	22%	19 Aug →
inferno	13–3	0.07	19%	19 Aug →
mirage	8–3	0.12	35%	18 Aug →
anubis	11–13	0.06	20%	18 Aug →
dust2	4–13	0.02	24%	18 Aug →
ancient	13–9	-0.01	24%	18 Aug →
dust2	13–6	0.01	22%	18 Aug →
mirage	13–5	0.16	20%	16 Aug →
nuke	4–13	-0.01	27%	15 Aug →
vertigo	7–13	-0.05	19%	14 Aug →
mirage	13–2	0.04	26%	13 Aug →
nuke	10–13	-0.01	41%	13 Aug →
cache	13–10	0.06	16%	12 Aug →
ancient	13–7	0.06	17%	12 Aug →
ancient	13–5	0.13	23%	12 Aug →
train	13–8	-0.00	35%	12 Aug →
dust2	6–13	0.02	25%	11 Aug →
cache	13–5	0.14	17%	11 Aug →
vertigo	8–13	0.05	24%	10 Aug →
anubis	10–13	0.04	23%	10 Aug →
cache	12–12	0.08	22%	10 Aug →
dust2	13–11	0.04	34%	10 Aug →
dust2	13–10	0.01	25%	10 Aug →
dust2	8–13	0.02	22%	10 Aug →
mirage	16–13	-0.03	10%	9 Aug →
anubis	3–13	-0.01	28%	9 Aug →
inferno	10–13	-0.06	24%	8 Aug →
anubis	16–14	-0.03	14%	8 Aug →
dust2	13–6	0.01	16%	8 Aug →
mirage	16–12	-0.02	29%	8 Aug →
mirage	3–13	0.08	20%	8 Aug →
mirage	13–1	0.07	32%	7 Aug →
ancient	13–7	0.01	11%	7 Aug →
inferno	13–11	0.00	14%	7 Aug →
ancient	13–7	0.13	18%	7 Aug →
ancient	6–13	0.01	29%	7 Aug →
dust2	9–13	-0.02	23%	7 Aug →
dust2	8–13	0.21	32%	6 Aug →
anubis	9–13	0.03	25%	6 Aug →
ancient	9–13	-0.07	19%	6 Aug →
mirage	14–16	-0.03	16%	5 Aug →
anubis	7–13	0.08	15%	5 Aug →
anubis	13–11	0.11	21%	5 Aug →
mirage	13–9	0.01	16%	5 Aug →
anubis	13–6	-0.01	13%	5 Aug →
anubis	6–13	-0.01	26%	4 Aug →
dust2	13–10	0.04	25%	4 Aug →
ancient	13–4	0.07	13%	4 Aug →
dust2	13–7	0.01	27%	4 Aug →
inferno	13–7	0.06	13%	3 Aug →
anubis	7–13	-0.01	20%	3 Aug →
ancient	11–13	0.03	19%	3 Aug →
ancient	13–9	-0.01	26%	3 Aug →
inferno	5–13	0.02	18%	2 Aug →
mirage	6–13	-0.10	11%	1 Aug →
ancient	13–11	0.06	33%	1 Aug →
mirage	10–13	-0.03	23%	1 Aug →
anubis	10–13	-0.05	32%	1 Aug →
anubis	13–3	0.07	23%	1 Aug →
mirage	13–11	-0.01	14%	31 Jul →
ancient	13–5	0.01	25%	31 Jul →
dust2	11–13	0.02	37%	31 Jul →
dust2	10–13	-0.02	17%	31 Jul →
anubis	8–13	0.01	12%	31 Jul →
dust2	10–13	-0.07	21%	31 Jul →
dust2	4–13	0.08	21%	31 Jul →
dust2	7–13	0.03	32%	31 Jul →
dust2	12–16	-0.04	22%	30 Jul →
dust2	13–9	0.10	23%	30 Jul →
mirage	13–11	0.01	13%	30 Jul →
dust2	5–13	0.04	30%	30 Jul →
inferno	13–7	-0.02	12%	30 Jul →
anubis	9–13	0.04	25%	30 Jul →
cache	13–6	0.07	23%	30 Jul →
inferno	13–1	0.12	29%	29 Jul →
mirage	13–16	0.01	22%	29 Jul →
anubis	13–8	0.02	17%	29 Jul →
dust2	13–10	0.11	27%	29 Jul →
mirage	16–14	0.09	13%	29 Jul →
inferno	15–15	0.01	14%	29 Jul →
mirage	13–16	-0.04	18%	28 Jul →
dust2	7–13	-0.06	11%	28 Jul →
dust2	13–8	0.10	33%	28 Jul →
inferno	15–19	-0.01	23%	28 Jul →
anubis	13–9	0.02	21%	28 Jul →
anubis	7–13	0.01	22%	28 Jul →
inferno	13–6	0.03	32%	28 Jul →
dust2	6–13	-0.05	19%	28 Jul →
inferno	16–19	-0.00	22%	27 Jul →
anubis	13–10	-0.02	11%	27 Jul →
dust2	13–4	0.11	23%	27 Jul →