Old Mate Thicc — CS2 Stats

AU76561198072662020[U:1:112396292]Steam profile ↗✓ No bans

757Tracked matches47%Win rate2020Tracked since

1,181Hours in CS

CSDB Rating5.1 Developing

Ladder ranks via Leetify

Performance scores

Aim59

Positioning47

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWLLLWLWWWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.9

Aggression6.9

Utility4.0

Positioning4.7

Opening Duels2.8

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 ropz 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 631ms 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

Aim5.9

Positioning4.7

Utility4.0

Mechanics7.5

Opening Duels2.8

Win Impact3.9

Composite 5.1/10 (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-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time632ms−38ms

first ⅓ avg 670ms → last ⅓ avg 632ms

Headshot accuracy22.5%+5.6%

first ⅓ avg 17.0% → last ⅓ avg 22.5%

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 — nuke 13–4

13–2Biggest win — inferno

8Longest win streak

9–4In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 60% over 10overpassWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	31	16–15	52%	-0.01
dust2	A	27	16–11	59%	0.01
inferno	B	15	7–8	47%	-0.00
nuke	A	10	6–4	60%	0.02
overpass	C	9	4–5	44%	-0.01
cache	—	2	1–1	50%	-0.03
anubis	—	2	0–2	0%	-0.03
ancient	—	1	0–1	0%	-0.05
grail	—	1	0–1	0%	-0.01
vertigo	—	1	0–1	0%	-0.04
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,127Lifetime kills

1.10K/D · Top 50% of tracked players

2,744Matches

43.7%Match win rate

43.6%Headshot %

14.2%Shot accuracy · Top 50% of tracked players

6,499MVPs

1,181Hours (in match)

1,692Bombs planted

553Bombs defused

Most-used weapons

AK-4716,183

AWP11,946

M4A4 / M4A1-S6,381

Desert Eagle3,339

P2000 / USP-S3,010

SSG 082,673

Glock-181,627

P901,215

P2501,184

FAMAS1,060

Lifetime map wins

10,823dust2

4,311inferno

687vertigo

578nuke

200cbble

174train

72office

37bank

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

Faceit stats

Combat

24Matches

54%Win rate

1.12Avg K/D

—ADR

50%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLWL

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.

23.1%Headshot accuracy

27.4%Accuracy (enemy spotted)

26.6%Spray accuracy

83.8%Counter-strafing

9.0°Preaim

631msReaction time

37.1%T opening success

44.9%CT opening success

0.57Enemies flashed / flash

5.0%Flash assists

14.63HE damage / grenade

6.58Flashes / 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 37.1279% — below the 40% mark we flag

Spend your practice time on Overpass

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–8	-0.00	35%	18 Jul →
nuke	8–13	-0.01	20%	9 Jun →
mirage	6–13	-0.05	14%	30 May →
mirage	5–13	-0.04	21%	19 May →
dust2	13–8	0.00	34%	17 May →
cache	2–13	-0.06	15%	2 May →
dust2	13–10	0.02	35%	2 May →
mirage	13–8	0.01	22%	17 Mar →
mirage	13–8	-0.01	18%	8 Mar →
mirage	5–13	-0.08	25%	22 Feb →
ancient	10–13	-0.05	27%	22 Feb →
inferno	10–13	0.04	22%	11 Feb →
mirage	13–16	0.02	6%	22 Jan →
inferno	13–7	-0.04	12%	19 Jan →
inferno	9–13	0.03	14%	15 Sept →
inferno	3–13	-0.06	22%	14 Sept →
dust2	13–11	-0.01	28%	10 Sept →
dust2	13–7	0.02	32%	8 Sept →
nuke	13–10	-0.02	30%	7 Sept →
mirage	13–3	-0.01	22%	7 Sept →
inferno	13–2	-0.06	18%	7 Sept →
mirage	13–7	0.06	16%	5 Sept →
inferno	13–10	-0.04	24%	31 Aug →
dust2	8–13	-0.04	25%	25 Aug →
mirage	5–13	-0.05	21%	24 Aug →
overpass	7–13	-0.01	21%	21 Aug →
dust2	13–7	-0.02	33%	16 Aug →
mirage	2–13	-0.03	27%	16 Aug →
overpass	8–13	0.09	34%	12 Aug →
mirage	6–13	-0.07	17%	11 Aug →
mirage	16–13	-0.00	19%	5 Aug →
dust2	5–13	0.06	16%	5 Aug →
overpass	7–13	-0.03	18%	4 Aug →
dust2	16–14	-0.01	30%	3 Aug →
mirage	13–4	-0.03	20%	3 Aug →
dust2	13–11	0.03	32%	2 Aug →
dust2	10–13	-0.03	36%	26 Jul →
overpass	3–13	0.01	25%	26 Jul →
dust2	5–13	-0.01	15%	25 Jul →
dust2	8–13	0.05	23%	25 Jul →
mirage	15–15	0.01	18%	24 Jul →
overpass	9–13	-0.04	17%	24 Jul →
mirage	15–15	-0.02	11%	23 Jul →
mirage	5–13	-0.03	30%	22 Jul →
dust2	16–13	0.05	23%	22 Jul →
dust2	5–13	0.05	20%	21 Jul →
overpass	13–5	-0.08	12%	21 Jul →
nuke	16–14	0.05	18%	20 Jul →
inferno	13–10	0.04	13%	20 Jul →
mirage	4–13	-0.06	19%	19 Jul →
inferno	11–13	0.05	17%	19 Jul →
mirage	13–2	0.09	28%	19 Jul →
mirage	13–10	0.01	13%	19 Jul →
inferno	9–13	0.03	13%	19 Jul →
dust2	11–13	-0.01	12%	18 Jul →
grail	11–13	-0.01	19%	17 Jul →
overpass	13–10	-0.00	16%	17 Jul →
mirage	13–11	0.04	8%	16 Jul →
overpass	13–10	0.01	20%	16 Jul →
anubis	9–13	-0.02	14%	15 Jul →
vertigo	12–12	-0.04	20%	15 Jul →
overpass	13–7	-0.02	12%	15 Jul →
dust2	13–6	-0.01	14%	14 Jul →
dust2	13–9	0.05	23%	13 Jul →
anubis	7–13	-0.04	10%	13 Jul →
dust2	2–8	0.05	20%	10 Jul →
inferno	6–13	-0.02	17%	7 Jul →
nuke	13–5	0.07	22%	6 Jul →
mirage	10–13	-0.01	15%	6 Jul →
mirage	10–13	-0.06	21%	5 Jul →
train	6–13	-0.03	18%	5 Jul →
dust2	13–9	0.02	29%	5 Jul →
dust2	5–13	-0.01	10%	5 Jul →
mirage	16–12	-0.02	18%	4 Jul →
inferno	13–3	0.08	19%	4 Jul →
mirage	13–9	0.01	9%	4 Jul →
dust2	13–7	0.01	14%	3 Jul →
mirage	13–11	0.04	15%	2 Jul →
dust2	13–6	0.07	21%	30 Jun →
nuke	13–10	0.07	17%	30 Jun →
mirage	13–5	-0.06	20%	30 Jun →
mirage	7–13	0.03	19%	29 Jun →
inferno	15–15	-0.02	3%	29 Jun →
dust2	9–13	-0.04	17%	29 Jun →
dust2	13–4	0.04	20%	27 Jun →
inferno	13–8	0.01	16%	26 Jun →
mirage	13–11	-0.02	15%	26 Jun →
nuke	5–9	-0.02	26%	25 Jun →
inferno	4–9	-0.04	25%	25 Jun →
nuke	13–4	0.09	15%	25 Jun →
dust2	13–8	0.01	18%	25 Jun →
mirage	13–11	0.01	21%	25 Jun →
nuke	10–13	-0.06	14%	25 Jun →
mirage	6–13	-0.04	14%	24 Jun →
mirage	13–3	0.04	19%	23 Jun →
dust2	4–13	0.01	13%	22 Jun →
nuke	13–6	0.01	11%	22 Jun →
dust2	13–11	-0.04	16%	22 Jun →
nuke	11–13	-0.01	17%	22 Jun →
inferno	13–10	-0.04	13%	22 Jun →