Richforever — CS2 Stats

76561199521403145[U:1:1561137417]Steam profile ↗✓ No bans

1,699Tracked matches52%Win rate2023Tracked since

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating25,566Top 25% of 44,590 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

CSDB Leaderboard#5578 of 60661 tracked

FaceitLevel 9 · 1,985 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning56

Utility83

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWLWWWWWLLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

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

Aim7.3

Aggression6.8

Utility8.3

Positioning5.6

Opening Duels2.9

Clutch3.2

Strong CT-side openerEffective flashesHigh utility contribution

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 Twistzz 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 83 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 50% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms 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

Positioning5.6

Utility8.3

Mechanics7.3

Opening Duels2.9

Win Impact5.6

Composite 6.8/10 (Solid), 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 rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time623ms−12ms

first ⅓ avg 635ms → last ⅓ avg 623ms

Headshot accuracy25.3%+0.7%

first ⅓ avg 24.6% → last ⅓ avg 25.3%

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

0.15Best rating — dust2 13–4

13–2Biggest win — mirage

9Longest win streak

8–13In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 75% over 8dust2Weakest map · 39% over 31

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	31	12–19	39%	-0.02
mirage	A	29	18–11	62%	0.01
ancient	A	23	14–9	61%	-0.00
anubis	S	8	6–2	75%	0.01
nuke	—	4	2–2	50%	0.01
inferno	—	4	3–1	75%	-0.02
train	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 31). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,158Matches

52%Win rate

1.13Avg K/D

80.0ADR

49%Headshot %

Clutches & streaks

36%1v1 clutch win

22%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	304	49%	1.11	16.4
Ancient	277	58%	1.15	16.9
Anubis	175	51%	1.13	17.6
Dust2	144	51%	1.09	16.1
Nuke	83	45%	1.11	16.5
Inferno	49	51%	1.12	16.4
Vertigo	11	36%	0.88	12.2
Train	8	38%	0.87	14.0

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.

23.9%Headshot accuracy

31.1%Accuracy (enemy spotted)

32.3%Spray accuracy

82.8%Counter-strafing

7.9°Preaim

618msReaction time

33.2%T opening success

49.9%CT opening success

0.79Enemies flashed / flash

9.8%Flash assists

10.19HE damage / grenade

8.09Flashes / 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 33.2349% — below the 40% mark we flag

Spend your practice time on Dust 2

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

39% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–8	0.05	20%	29 Sept →
mirage	14–16	-0.05	35%	29 Sept →
ancient	13–10	0.01	19%	21 Sept →
ancient	13–8	0.01	27%	17 Sept →
mirage	13–7	0.04	32%	17 Sept →
mirage	13–7	0.07	18%	17 Sept →
ancient	13–9	0.02	16%	13 Sept →
ancient	14–16	-0.04	15%	13 Sept →
dust2	0–6	-0.03	29%	13 Sept →
dust2	3–13	-0.07	13%	13 Sept →
dust2	11–13	-0.03	30%	13 Sept →
ancient	13–9	-0.00	29%	5 Sept →
ancient	16–14	-0.02	16%	3 Sept →
dust2	13–6	0.05	37%	3 Sept →
dust2	3–13	-0.07	13%	3 Sept →
mirage	7–13	-0.08	33%	29 Aug →
mirage	13–6	-0.01	28%	29 Aug →
dust2	13–11	-0.05	26%	29 Aug →
dust2	11–13	-0.05	11%	27 Aug →
mirage	13–9	-0.02	24%	27 Aug →
ancient	7–13	-0.04	15%	23 Aug →
dust2	12–12	-0.08	13%	23 Aug →
dust2	9–13	-0.02	26%	23 Aug →
ancient	11–13	-0.05	26%	23 Aug →
nuke	11–13	-0.05	20%	14 Aug →
inferno	13–5	0.02	25%	13 Aug →
mirage	13–2	0.04	31%	13 Aug →
dust2	9–11	-0.08	31%	13 Aug →
nuke	8–7	0.08	34%	11 Aug →
mirage	13–7	0.00	35%	11 Aug →
ancient	13–8	0.04	30%	11 Aug →
mirage	9–13	0.02	31%	9 Aug →
train	5–13	-0.01	46%	9 Aug →
ancient	10–13	-0.01	20%	9 Aug →
mirage	10–13	-0.01	19%	9 Aug →
dust2	13–2	0.06	38%	9 Aug →
inferno	13–6	0.02	44%	8 Aug →
dust2	16–14	-0.01	18%	7 Aug →
ancient	13–3	-0.03	29%	7 Aug →
inferno	13–6	-0.02	14%	7 Aug →
nuke	13–3	-0.00	16%	7 Aug →
dust2	13–11	-0.02	18%	7 Aug →
mirage	13–7	-0.03	29%	5 Aug →
dust2	13–7	0.01	27%	5 Aug →
mirage	10–13	-0.04	22%	1 Aug →
dust2	13–4	0.15	12%	1 Aug →
mirage	11–13	0.04	31%	27 Jul →
ancient	13–8	-0.01	24%	27 Jul →
mirage	13–5	0.02	24%	17 Jul →
ancient	15–15	0.02	27%	16 Jul →
dust2	3–10	-0.02	12%	13 Jul →
ancient	13–8	0.01	24%	13 Jul →
mirage	13–7	0.03	30%	13 Jul →
dust2	10–2	0.04	21%	13 Jul →
ancient	7–13	-0.03	22%	13 Jul →
anubis	13–8	-0.02	26%	13 Jul →
mirage	13–9	0.05	33%	13 Jul →
ancient	16–13	0.00	17%	12 Jul →
anubis	13–11	0.03	29%	11 Jul →
ancient	16–13	0.05	32%	11 Jul →
dust2	12–12	0.02	13%	9 Jul →
ancient	16–13	-0.00	24%	9 Jul →
anubis	13–3	0.07	19%	9 Jul →
anubis	6–13	-0.05	39%	25 Jun →
mirage	12–16	0.01	20%	14 Jun →
ancient	13–9	-0.02	18%	17 May →
dust2	6–13	-0.03	44%	7 May →
dust2	13–16	-0.00	24%	2 May →
mirage	13–9	-0.04	31%	29 Apr →
ancient	14–16	0.03	31%	28 Apr →
dust2	8–13	-0.15	18%	27 Apr →
mirage	5–13	-0.01	22%	21 Apr →
ancient	8–13	0.02	27%	21 Apr →
ancient	14–16	-0.05	19%	21 Apr →
anubis	13–10	0.09	19%	21 Apr →
dust2	13–5	-0.00	32%	20 Apr →
anubis	11–13	-0.03	13%	19 Apr →
inferno	3–13	-0.10	33%	19 Apr →
mirage	9–13	0.03	18%	19 Apr →
nuke	13–8	0.03	35%	19 Apr →
ancient	13–5	0.02	29%	19 Apr →
dust2	8–13	0.02	18%	19 Apr →
anubis	16–14	-0.01	24%	19 Apr →
mirage	13–11	-0.02	14%	14 Apr →
dust2	5–13	-0.07	21%	14 Apr →
mirage	8–13	0.00	29%	14 Apr →
dust2	13–8	-0.10	14%	14 Apr →
dust2	11–13	-0.07	22%	11 Apr →
dust2	13–6	0.02	21%	10 Apr →
dust2	10–13	-0.02	48%	10 Apr →
mirage	13–8	0.04	23%	9 Apr →
mirage	2–13	-0.04	56%	9 Apr →
dust2	13–8	0.03	24%	4 Apr →
anubis	13–9	0.01	24%	4 Apr →
mirage	13–6	-0.01	33%	4 Apr →
mirage	13–10	0.07	16%	3 Apr →
dust2	6–13	-0.03	13%	3 Apr →
dust2	0–4	-0.11	0%	2 Apr →
mirage	13–2	0.02	27%	2 Apr →
mirage	13–11	0.02	32%	2 Apr →