Tricky Ricky — CS2 Stats

MN76561198150731613[U:1:190465885]Steam profile ↗✓ No bans

1,560Tracked matches57%Win rate2020Tracked since

3,491Hours in CS5Hrs last 2 wks

CSDB Rating6.8 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim89

Positioning59

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY54–38–8Last 10054%Win rateWWWWWLWLLL

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

Player DNA

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

Aim8.9

Aggression8.7

Utility6.3

Positioning5.9

Opening Duels5.0

Clutch3.6

Sharp aimer

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, opening-duel success.

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 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Reaction time. 551ms 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

Aim8.9

Positioning5.9

Utility6.3

Mechanics7.6

Opening Duels5.0

Win Impact7.2

Composite 6.8/10 (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 rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time553ms−23ms

first ⅓ avg 575ms → last ⅓ avg 553ms

Headshot accuracy24.9%+4.2%

first ⅓ avg 20.7% → last ⅓ avg 24.9%

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 — office 13–1

13–0Biggest win — anubis

5Longest win streak

W5Current streak

6–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 88% over 8ancientWeakest map · 9% over 11

Map	Grade	Played	Record	Win rate	Avg rating
office	A	24	14–10	58%	0.03
nuke	S	15	11–4	73%	0.08
mirage	C	14	5–9	36%	0.02
anubis	S	12	8–4	67%	0.04
ancient	D	11	1–10	9%	-0.01
inferno	B	8	4–4	50%	-0.00
overpass	S	8	7–1	88%	0.03
cache	B	6	3–3	50%	0.03
dust2	—	2	1–1	50%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

114,838Lifetime kills

1.36K/D · Top 10% of tracked players

3,880Matches

46.5%Match win rate · Top 50% of tracked players

56.9%Headshot % · Top 25% of tracked players

12.9%Shot accuracy · Top 50% of tracked players

11,350MVPs

2,025Hours (in match)

4,196Bombs planted

1,865Bombs defused

Most-used weapons

AK-4750,233

M4A4 / M4A1-S21,194

AWP10,051

Desert Eagle6,871

P2000 / USP-S4,741

Glock-182,684

UMP-451,951

P2501,571

SG 5531,208

MAC-101,176

Lifetime map wins

6,243inferno

3,510dust2

2,153nuke

1,945office

1,716vertigo

1,072train

588cbble

37safehouse

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

Faceit stats

Combat

452Matches

52%Win rate

1.19Avg K/D

82.2ADR

45%Headshot %

Clutches & streaks

38%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	70	50%	1.44	17.4
Inferno	56	50%	1.19	16.4
Anubis	50	72%	1.33	17.4
Mirage	45	38%	1.03	16.5
Dust2	44	55%	1.05	15.2
Nuke	18	50%	1.13	14.7
Overpass	11	45%	1.42	19.9
Train	5	40%	0.80	10.8

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.

24.9%Headshot accuracy

38.8%Accuracy (enemy spotted)

39.0%Spray accuracy

84.4%Counter-strafing

8.6°Preaim

551msReaction time

45.9%T opening success

53.8%CT opening success

0.49Enemies flashed / flash

9.3%Flash assists

12.10HE damage / grenade

9.52Flashes / 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 0.495 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–7	0.06	21%	27 Aug →
nuke	13–3	0.12	23%	27 Aug →
office	13–10	0.08	41%	27 Aug →
office	13–2	0.07	44%	26 Aug →
ancient	13–11	0.05	16%	26 Aug →
mirage	13–16	0.10	29%	26 Aug →
office	13–6	0.03	28%	26 Aug →
ancient	8–13	-0.00	36%	13 Aug →
anubis	11–13	0.03	28%	12 Aug →
office	10–13	-0.03	23%	10 Aug →
nuke	13–3	0.11	16%	10 Aug →
ancient	5–13	-0.04	18%	26 Jul →
office	13–4	0.09	47%	26 Jul →
mirage	13–10	0.04	22%	9 Jul →
inferno	11–5	0.08	16%	9 Jul →
nuke	13–10	0.17	22%	5 Jul →
overpass	13–9	0.06	16%	5 Jul →
mirage	10–13	0.02	19%	24 Jun →
nuke	9–13	0.06	32%	24 Jun →
anubis	13–4	0.03	24%	23 Jun →
mirage	8–13	0.05	17%	23 Jun →
office	13–10	0.00	20%	17 Jun →
mirage	13–7	0.03	22%	17 Jun →
nuke	13–1	0.14	32%	17 Jun →
office	8–13	-0.01	11%	16 Jun →
mirage	2–13	-0.09	33%	10 Jun →
office	5–13	0.01	24%	10 Jun →
nuke	12–16	0.03	27%	2 Jun →
office	1–13	-0.10	29%	2 Jun →
overpass	13–11	0.04	20%	1 Jun →
office	12–12	-0.01	14%	27 May →
anubis	13–6	0.08	29%	27 May →
mirage	2–13	-0.03	22%	27 May →
nuke	13–7	0.04	11%	26 May →
mirage	3–13	-0.01	19%	26 May →
mirage	13–11	0.08	31%	26 May →
overpass	13–10	0.03	19%	25 May →
overpass	15–15	0.02	15%	25 May →
office	12–12	-0.03	17%	20 May →
mirage	4–13	-0.07	25%	20 May →
anubis	13–6	0.03	15%	20 May →
office	13–6	0.08	24%	19 May →
anubis	10–13	-0.03	32%	19 May →
office	13–11	0.02	25%	18 May →
office	6–0	0.07	67%	18 May →
nuke	8–13	-0.02	21%	18 May →
nuke	13–5	-0.03	11%	18 May →
nuke	13–10	0.09	27%	18 May →
overpass	13–7	0.04	9%	17 May →
anubis	13–0	0.10	19%	17 May →
nuke	9–13	0.08	13%	17 May →
office	8–13	0.09	18%	14 May →
mirage	11–13	0.05	24%	14 May →
inferno	7–13	0.01	17%	14 May →
office	13–7	-0.03	24%	14 May →
office	13–7	0.01	23%	13 May →
office	12–12	-0.02	15%	12 May →
anubis	7–13	-0.00	17%	12 May →
anubis	13–9	0.00	21%	12 May →
ancient	6–13	0.02	19%	11 May →
overpass	13–5	-0.01	5%	11 May →
inferno	13–7	0.02	15%	8 May →
cache	13–9	0.01	34%	7 May →
dust2	13–3	-0.01	50%	6 May →
cache	7–13	0.04	23%	6 May →
ancient	11–13	-0.02	15%	5 May →
inferno	0–9	-0.28	23%	5 May →
cache	13–5	0.07	19%	5 May →
cache	13–5	0.04	29%	4 May →
cache	12–12	-0.01	13%	30 Apr →
cache	12–12	0.03	17%	29 Apr →
office	12–12	0.03	18%	28 Apr →
mirage	6–13	-0.03	28%	28 Apr →
anubis	13–6	0.10	20%	28 Apr →
nuke	13–6	0.07	17%	28 Apr →
overpass	13–11	0.01	16%	23 Apr →
office	13–6	0.06	8%	23 Apr →
mirage	13–5	0.12	21%	22 Apr →
ancient	11–13	-0.03	21%	22 Apr →
inferno	9–13	0.00	12%	22 Apr →
ancient	8–13	-0.02	21%	22 Apr →
office	13–6	0.03	35%	21 Apr →
anubis	3–13	-0.01	22%	21 Apr →
inferno	14–16	0.02	11%	21 Apr →
nuke	13–3	0.14	26%	21 Apr →
anubis	13–10	0.15	24%	20 Apr →
ancient	5–13	-0.01	21%	20 Apr →
inferno	13–6	0.07	20%	18 Apr →
office	13–5	0.10	25%	16 Apr →
nuke	13–3	0.02	20%	16 Apr →
overpass	16–14	0.05	17%	16 Apr →
anubis	13–5	0.01	15%	16 Apr →
ancient	6–13	0.03	24%	15 Apr →
mirage	16–13	-0.02	16%	15 Apr →
nuke	13–5	0.16	21%	15 Apr →
office	13–1	0.17	42%	15 Apr →
office	12–12	0.03	24%	15 Apr →
ancient	3–13	-0.06	26%	14 Apr →
dust2	11–13	-0.01	19%	14 Apr →
ancient	2–13	-0.01	11%	14 Apr →