Lawyer Pie — CS2 Stats

76561198220738724[U:1:260472996]✓ No bans

620Tracked matches52%Win rate2020Tracked since

CSDB Rating6.6 SolidAggressive Rifler

WingmanMaster Guardian I

Ladder ranks via Leetify

Performance scores

Aim73

Positioning67

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateWLLLWLLWWW

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.

Aim7.3

Aggression8.5

Utility5.6

Positioning6.7

Opening Duels5.0

Clutch0.4

Strong 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 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

CT openings. 68% 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 68% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim7.3

Positioning6.7

Utility5.6

Mechanics7.5

Opening Duels5.0

Win Impact5.6

Composite 6.6/10 (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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time569ms−73ms

first ⅓ avg 642ms → last ⅓ avg 569ms

Headshot accuracy12.2%+3.9%

first ⅓ avg 8.3% → last ⅓ avg 12.2%

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

0.17Best rating — inferno 9–0

13–0Biggest win — nuke

8Longest win streak

9–2In matches decided by ≤2 rounds

12Overtime games

Map breakdown

overpassBest map · 63% over 8nukeWeakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	23	13–10	57%	0.01
inferno	B	16	8–8	50%	-0.00
ancient	B	12	6–6	50%	0.02
dust2	A	12	7–5	58%	0.01
nuke	B	11	5–6	45%	-0.00
anubis	A	10	6–4	60%	-0.02
overpass	A	8	5–3	63%	-0.01
warden	—	2	1–1	50%	0.10
vertigo	—	2	1–1	50%	-0.02
cache	—	1	0–1	0%	0.04
sanctum	—	1	0–1	0%	-0.01
train	—	1	1–0	100%	0.06
poseidon	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

65Matches

58%Win rate

1.01Avg K/D

82.5ADR

32%Headshot %

Clutches & streaks

22%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	14	79%	1.28	14.9
Ancient	11	64%	1.18	17.1
Inferno	8	75%	0.94	11.0
Anubis	6	67%	0.88	16.3
Dust2	6	17%	0.72	12.0
Nuke	5	40%	1.00	13.8
Cache	1	100%	1.71	24.0
Train	1	100%	1.28	23.0

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.

10.9%Headshot accuracy

38.7%Accuracy (enemy spotted)

42.7%Spray accuracy

83.8%Counter-strafing

10.4°Preaim

568msReaction time

31.7%T opening success

68.2%CT opening success

0.57Enemies flashed / flash

5.0%Flash assists

13.37HE damage / grenade

7.69Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.8818% — below the 15% mark we flag
Aim Training →
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 31.6845% — below the 40% mark we flag

Spend your practice time on Nuke

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–5	0.07	11%	28 Aug →
anubis	8–13	-0.07	5%	28 Aug →
dust2	8–13	0.01	16%	28 Aug →
anubis	4–13	-0.05	10%	22 Aug →
mirage	13–2	0.01	18%	17 Jul →
anubis	12–16	-0.04	3%	17 Jul →
inferno	13–16	-0.03	4%	9 Jul →
inferno	13–8	-0.05	9%	9 Jul →
ancient	13–8	0.02	10%	1 Jul →
inferno	13–8	0.03	9%	30 Jun →
overpass	13–3	0.03	3%	26 Jun →
mirage	8–13	-0.01	13%	24 Jun →
mirage	15–15	-0.00	8%	24 Jun →
overpass	10–13	0.02	16%	24 Jun →
nuke	13–3	0.06	18%	19 Jun →
overpass	2–13	-0.07	33%	13 Jun →
nuke	13–11	0.01	6%	13 Jun →
dust2	13–8	0.07	16%	13 Jun →
inferno	10–13	0.01	24%	13 Jun →
warden	11–13	0.06	7%	13 Jun →
inferno	9–0	0.17	35%	13 Jun →
mirage	13–9	0.00	7%	12 Jun →
nuke	6–13	0.02	15%	12 Jun →
nuke	5–13	-0.09	9%	11 Jun →
dust2	16–14	0.04	13%	11 Jun →
inferno	3–9	-0.10	15%	10 Jun →
mirage	13–9	0.05	13%	10 Jun →
anubis	18–22	0.01	9%	31 May →
nuke	4–13	-0.10	9%	31 May →
ancient	13–7	0.02	15%	31 May →
mirage	13–3	0.13	6%	31 May →
overpass	13–10	-0.04	7%	21 May →
inferno	12–16	0.04	10%	21 May →
mirage	15–15	-0.04	11%	21 May →
ancient	13–16	0.08	8%	21 May →
mirage	13–11	-0.04	15%	20 May →
cache	7–13	0.04	14%	18 May →
anubis	16–14	-0.01	6%	17 May →
nuke	7–13	0.00	9%	17 May →
dust2	9–13	-0.00	4%	17 May →
nuke	13–6	0.05	15%	11 May →
mirage	13–6	0.03	3%	11 May →
mirage	8–13	0.01	19%	2 May →
anubis	13–9	0.03	8%	24 Apr →
mirage	0–13	-0.07	14%	24 Apr →
dust2	8–13	-0.02	15%	23 Apr →
ancient	7–13	0.06	4%	23 Apr →
dust2	5–13	-0.02	10%	23 Apr →
ancient	13–2	0.04	12%	22 Apr →
mirage	3–13	-0.03	5%	22 Apr →
mirage	10–13	-0.08	9%	22 Apr →
dust2	13–2	0.02	9%	21 Apr →
inferno	13–5	-0.07	15%	21 Apr →
mirage	13–8	0.05	21%	20 Apr →
nuke	13–0	0.00	16%	14 Apr →
dust2	13–1	-0.06	0%	14 Apr →
inferno	13–5	-0.06	0%	13 Apr →
anubis	2–0	0.00	0%	13 Apr →
nuke	13–3	-0.00	5%	13 Apr →
ancient	0–5	-0.03	0%	13 Apr →
mirage	13–5	-0.02	2%	13 Apr →
mirage	13–7	-0.02	9%	12 Apr →
ancient	8–13	-0.03	13%	12 Apr →
ancient	8–13	0.03	5%	12 Apr →
ancient	7–13	-0.03	9%	12 Apr →
dust2	11–13	0.05	21%	12 Apr →
mirage	10–13	0.01	5%	12 Apr →
anubis	13–8	0.04	9%	12 Apr →
vertigo	13–3	-0.04	10%	7 Apr →
inferno	15–15	0.00	7%	4 Apr →
ancient	12–2	-0.03	14%	4 Apr →
overpass	13–0	-0.01	10%	3 Apr →
anubis	13–7	-0.04	2%	3 Apr →
inferno	13–7	0.01	6%	3 Apr →
inferno	8–13	0.03	10%	3 Apr →
mirage	13–1	0.10	5%	3 Apr →
mirage	12–12	0.05	4%	2 Apr →
sanctum	5–9	-0.01	8%	1 Apr →
train	13–8	0.06	7%	1 Apr →
dust2	13–11	-0.03	9%	1 Apr →
inferno	13–11	0.02	5%	31 Mar →
mirage	13–10	0.03	12%	30 Mar →
inferno	7–13	-0.05	3%	29 Mar →
overpass	13–11	-0.07	5%	29 Mar →
inferno	6–13	-0.00	8%	29 Mar →
dust2	11–0	0.07	11%	27 Mar →
anubis	13–11	-0.02	4%	23 Mar →
overpass	12–12	-0.01	12%	21 Mar →
vertigo	8–13	0.01	13%	21 Mar →
mirage	13–6	-0.01	8%	21 Mar →
dust2	16–12	0.03	12%	21 Mar →
mirage	7–13	0.02	9%	19 Mar →
overpass	13–4	0.03	6%	19 Mar →
nuke	10–13	0.04	12%	19 Mar →
inferno	13–4	-0.01	16%	19 Mar →
ancient	13–5	0.08	9%	19 Mar →
nuke	12–16	-0.01	8%	19 Mar →
mirage	13–9	-0.00	11%	18 Mar →
warden	13–8	0.14	3%	18 Mar →
poseidon	6–9	0.01	6%	18 Mar →