realrichliss — CS2 Stats

RS76561199480217631[U:1:1519951903]Steam profile ↗✓ No bans

1,792Tracked matches63%Win rate2023Tracked since

1,915Hours in CS43Hrs last 2 wks

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating16,829Purple band · top ~21.1% of ranked players (population est.)

CSDB Leaderboard#8885 of 15033 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning54

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLLWWWWLWWL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

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

Aim8.6

Aggression8.8

Utility6.4

Positioning5.4

Opening Duels4.3

Clutch4.4

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 jL 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 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 57% on CT to 37% 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

Aim8.6

Positioning5.4

Utility6.4

Mechanics7.4

Opening Duels4.3

Win Impact9.4

Composite 7.1/10 (Strong), 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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time518ms−62ms

first ⅓ avg 580ms → last ⅓ avg 518ms

Headshot accuracy15.5%+2.5%

first ⅓ avg 13.0% → last ⅓ avg 15.5%

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

0.16Best rating — vertigo 9–4

13–1Biggest win — cache

7Longest win streak

L2Current streak

9–11In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 73% over 15infernoWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	21	8–13	38%	-0.02
nuke	B	19	10–9	53%	-0.01
inferno	D	15	3–12	20%	-0.02
anubis	S	15	11–4	73%	-0.01
mirage	B	10	5–5	50%	0.01
cache	S	10	7–3	70%	0.01
dust2	A	5	3–2	60%	-0.01
overpass	—	3	2–1	67%	-0.01
vertigo	—	2	1–1	50%	0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,100Lifetime kills

1.34K/D · Top 10% of tracked players

2,664Matches

41.9%Match win rate

65.1%Headshot % · Top 5% of tracked players

3.4%Shot accuracy

6,076MVPs

1,030Hours (in match)

2,094Bombs planted

404Bombs defused

Most-used weapons

AK-4740,150

M4A4 / M4A1-S7,463

AWP4,114

Desert Eagle3,661

P2000 / USP-S2,270

Glock-181,424

MP91,359

Galil AR1,343

P250720

MAC-10555

Lifetime map wins

4,122inferno

4,106nuke

1,637vertigo

1,264dust2

367lake

245train

79office

54cbble

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

Faceit stats

Combat

231Matches

50%Win rate

0.98Avg K/D

82.8ADR

40%Headshot %

Clutches & streaks

42%1v1 clutch win

26%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	46	30%	0.90	14.5
Anubis	37	65%	1.15	15.6
Inferno	35	60%	0.89	13.2
Ancient	27	52%	0.96	15.6
Nuke	25	44%	1.06	16.5
Vertigo	14	64%	1.15	14.4
Cache	11	55%	1.05	16.4
Dust2	7	57%	0.99	14.7

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.

16.1%Headshot accuracy

39.0%Accuracy (enemy spotted)

46.9%Spray accuracy

83.5%Counter-strafing

9.6°Preaim

529msReaction time

37.0%T opening success

57.4%CT opening success

0.64Enemies flashed / flash

8.9%Flash assists

7.84HE damage / grenade

13.14Flashes / 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 37.0367% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	10–13	-0.08	16%	28 Aug →
mirage	7–13	-0.07	10%	27 Aug →
inferno	13–11	-0.02	25%	27 Aug →
inferno	1–1	-0.05	0%	27 Aug →
mirage	16–14	-0.01	13%	27 Aug →
cache	13–1	0.04	14%	27 Aug →
ancient	10–13	0.01	14%	26 Aug →
mirage	13–5	0.06	20%	26 Aug →
cache	13–4	0.07	25%	26 Aug →
mirage	11–13	0.04	20%	26 Aug →
mirage	10–13	-0.01	14%	26 Aug →
nuke	13–11	0.00	13%	25 Aug →
cache	13–9	0.04	17%	25 Aug →
anubis	13–10	0.01	20%	25 Aug →
ancient	10–13	0.01	14%	25 Aug →
anubis	13–10	0.03	14%	25 Aug →
inferno	10–13	-0.08	7%	25 Aug →
nuke	13–9	-0.03	9%	25 Aug →
mirage	13–8	0.01	32%	25 Aug →
anubis	13–11	0.04	15%	25 Aug →
dust2	8–13	-0.04	10%	22 Aug →
inferno	9–2	0.04	11%	22 Aug →
inferno	5–13	-0.03	21%	21 Aug →
inferno	4–9	0.06	21%	21 Aug →
nuke	5–13	-0.02	25%	20 Aug →
inferno	8–8	0.04	8%	20 Aug →
nuke	6–9	-0.10	11%	20 Aug →
cache	10–13	-0.01	11%	20 Aug →
anubis	13–8	0.02	10%	20 Aug →
nuke	13–9	-0.01	18%	19 Aug →
dust2	16–12	0.05	26%	19 Aug →
nuke	13–6	0.06	14%	19 Aug →
dust2	13–10	-0.05	13%	19 Aug →
ancient	13–1	-0.04	9%	19 Aug →
mirage	13–3	0.05	20%	19 Aug →
ancient	15–15	-0.03	11%	18 Aug →
nuke	13–11	-0.02	14%	18 Aug →
inferno	4–9	-0.05	18%	18 Aug →
nuke	13–6	-0.01	10%	16 Aug →
ancient	11–13	0.00	11%	15 Aug →
ancient	13–4	0.06	9%	14 Aug →
ancient	11–13	-0.01	17%	14 Aug →
cache	8–13	-0.01	16%	14 Aug →
inferno	10–13	-0.01	14%	13 Aug →
nuke	4–13	-0.02	14%	12 Aug →
anubis	13–4	0.05	5%	12 Aug →
ancient	5–13	0.03	12%	9 Aug →
ancient	3–13	-0.09	5%	8 Aug →
nuke	15–15	-0.02	15%	6 Aug →
cache	13–5	-0.01	11%	6 Aug →
ancient	13–9	0.04	15%	6 Aug →
inferno	10–13	0.02	22%	4 Aug →
nuke	9–13	-0.00	15%	2 Aug →
anubis	13–7	-0.05	21%	1 Aug →
ancient	13–8	0.04	15%	1 Aug →
dust2	13–10	0.07	14%	1 Aug →
ancient	11–13	-0.10	8%	30 Jul →
anubis	14–16	-0.04	11%	30 Jul →
inferno	3–9	-0.14	6%	30 Jul →
vertigo	9–4	0.16	16%	30 Jul →
ancient	13–3	-0.04	8%	28 Jul →
cache	13–11	-0.03	19%	28 Jul →
anubis	13–6	0.07	10%	28 Jul →
anubis	4–13	-0.03	22%	28 Jul →
mirage	7–13	-0.06	13%	27 Jul →
ancient	8–13	-0.07	17%	27 Jul →
ancient	7–13	-0.02	24%	27 Jul →
nuke	11–13	-0.05	15%	27 Jul →
inferno	7–9	0.03	33%	27 Jul →
cache	13–9	-0.02	10%	26 Jul →
vertigo	8–13	0.01	14%	7 Jul →
cache	9–13	-0.02	5%	7 Jul →
anubis	13–9	-0.08	14%	5 Jul →
ancient	4–13	-0.11	13%	4 Jul →
anubis	13–8	0.03	14%	4 Jul →
ancient	13–10	-0.05	3%	3 Jul →
anubis	11–13	-0.05	5%	3 Jul →
mirage	11–13	0.03	9%	3 Jul →
inferno	11–13	-0.01	6%	2 Jul →
anubis	13–8	-0.00	4%	2 Jul →
ancient	11–13	-0.06	11%	2 Jul →
nuke	8–13	0.02	15%	2 Jul →
overpass	13–9	-0.01	17%	2 Jul →
mirage	13–2	0.04	21%	2 Jul →
ancient	13–8	0.04	12%	1 Jul →
overpass	7–13	-0.06	12%	1 Jul →
ancient	15–19	-0.04	15%	1 Jul →
anubis	13–11	-0.03	11%	1 Jul →
nuke	9–2	0.02	13%	1 Jul →
nuke	5–0	0.15	29%	1 Jul →
nuke	3–9	-0.23	7%	1 Jul →
nuke	3–13	0.00	10%	30 Jun →
inferno	5–9	-0.04	29%	30 Jun →
cache	13–11	0.07	11%	28 Jun →
overpass	13–5	0.04	8%	27 Jun →
nuke	10–0	0.15	22%	27 Jun →
inferno	13–16	-0.04	6%	26 Jun →
anubis	12–16	-0.06	16%	26 Jun →
nuke	13–10	0.01	11%	26 Jun →
ancient	13–6	-0.00	9%	26 Jun →