RiffERN — CS2 Stats

NO76561198029303073[U:1:69037345]Steam profile ↗✓ No bans

1,687Tracked matches60%Win rate2020Tracked since

3,703Hours in CS11Hrs last 2 wks

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating27,124Top 5% of 44,590 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)

CSDB Leaderboard#2037 of 60803 tracked

FaceitLevel 10 · 2,194 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	43.5%	51.7%
Shot accuracy	14.1%	13.8%
Kill/death ratio	1.15	1.09
Match win rate	50.3%	48.7%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim81

Positioning57

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateLWLLWLLWWW

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.

Aim8.1

Aggression8.8

Utility6.4

Positioning5.7

Opening Duels3.5

Clutch4.4

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 device 92% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim8.1

Positioning5.7

Utility6.4

Mechanics4.9

Opening Duels3.5

Win Impact8.3

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 rating0.01−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time482ms−46ms

first ⅓ avg 529ms → last ⅓ avg 482ms

Headshot accuracy18.1%−0.3%

first ⅓ avg 18.4% → last ⅓ avg 18.1%

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

0.20Best rating — dust2 13–2

13–1Biggest win — inferno

11Longest win streak

7–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 71% over 14anubisWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	21	9–12	43%	0.02
inferno	A	20	12–8	60%	0.02
cache	S	14	10–4	71%	0.04
anubis	C	13	5–8	38%	0.03
mirage	S	12	8–4	67%	0.04
ancient	S	10	7–3	70%	0.01
nuke	C	7	3–4	43%	0.05
overpass	—	2	1–1	50%	-0.01
vertigo	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

129,704Lifetime kills

1.15K/D · Top 50% of Level 10 players

4,765Matches

50.3%Match win rate · Top 50% of Level 10 players

43.5%Headshot %

14.1%Shot accuracy · Top 50% of Level 10 players

17,517MVPs

2,639Hours (in match)

8,046Bombs planted

2,451Bombs defused

Most-used weapons

AK-4746,884

M4A4 / M4A1-S29,975

AWP13,029

P2000 / USP-S6,032

Glock-184,764

Desert Eagle4,737

P2503,973

FAMAS2,404

Galil AR2,043

HE Grenade1,911

Lifetime map wins

13,060inferno

7,742dust2

3,284nuke

1,607train

1,488cbble

1,316vertigo

50lake

40dust

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

Faceit stats

Combat

504Matches

56%Win rate

1.25Avg K/D

88.8ADR

42%Headshot %

Clutches & streaks

42%1v1 clutch win

25%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	74	62%	1.35	18.4
Dust2	65	49%	1.21	16.9
Anubis	54	59%	1.29	17.5
Mirage	48	40%	1.17	18.0
Ancient	38	53%	1.30	18.1
Nuke	31	55%	1.32	19.1
Vertigo	11	36%	1.31	17.7
Train	9	44%	1.70	19.3

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.

19.0%Headshot accuracy

36.2%Accuracy (enemy spotted)

41.2%Spray accuracy

72.1%Counter-strafing

8.8°Preaim

481msReaction time

39.0%T opening success

49.3%CT opening success

0.61Enemies flashed / flash

5.2%Flash assists

13.51HE damage / grenade

12.47Flashes / 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 39.0294% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	9–13	0.01	28%	30 Aug →
cache	13–11	0.02	12%	30 Aug →
anubis	2–13	-0.06	22%	30 Aug →
cache	11–13	-0.02	24%	26 Aug →
dust2	13–2	0.20	17%	26 Aug →
anubis	11–13	0.03	16%	26 Aug →
dust2	14–16	0.02	16%	23 Aug →
anubis	13–9	0.09	20%	23 Aug →
mirage	13–10	0.03	16%	23 Aug →
dust2	13–11	0.04	17%	22 Aug →
inferno	13–11	-0.02	22%	22 Aug →
mirage	13–9	0.02	21%	18 Aug →
inferno	13–10	-0.02	19%	18 Aug →
dust2	2–13	-0.05	19%	18 Aug →
inferno	9–13	0.08	18%	17 Aug →
mirage	13–4	0.03	13%	17 Aug →
dust2	9–13	0.00	29%	17 Aug →
anubis	13–9	0.05	20%	12 Aug →
inferno	5–6	0.00	18%	12 Aug →
dust2	3–13	-0.02	13%	12 Aug →
anubis	0–4	-0.08	0%	9 Aug →
inferno	4–13	0.00	21%	9 Aug →
overpass	19–16	-0.01	20%	9 Aug →
ancient	13–10	-0.05	7%	9 Aug →
dust2	13–5	-0.03	20%	9 Aug →
ancient	13–7	-0.02	14%	7 Aug →
dust2	13–11	-0.05	20%	7 Aug →
inferno	13–1	0.05	19%	5 Aug →
nuke	13–10	-0.03	28%	5 Aug →
dust2	13–7	0.03	25%	30 Jul →
ancient	13–7	-0.03	10%	30 Jul →
ancient	13–7	0.05	18%	27 Jul →
cache	13–9	0.09	15%	27 Jul →
anubis	8–13	0.03	13%	27 Jul →
cache	13–8	0.12	21%	27 Jul →
nuke	13–4	0.07	21%	20 Jul →
anubis	7–13	0.03	11%	20 Jul →
mirage	9–13	0.00	22%	20 Jul →
cache	13–5	0.06	12%	20 Jul →
inferno	16–14	-0.01	13%	20 Jul →
dust2	13–10	-0.01	17%	20 Jul →
dust2	7–13	-0.03	10%	8 Jul →
mirage	13–11	0.02	4%	4 Jul →
dust2	2–13	0.01	24%	4 Jul →
inferno	9–13	-0.02	23%	4 Jul →
mirage	13–2	-0.01	14%	30 Jun →
inferno	14–16	-0.04	18%	28 Jun →
overpass	7–13	-0.02	30%	28 Jun →
inferno	13–5	0.12	15%	28 Jun →
mirage	13–10	0.04	9%	28 Jun →
dust2	6–13	-0.03	21%	28 Jun →
cache	9–13	0.00	18%	28 Jun →
anubis	3–13	-0.08	0%	28 Jun →
inferno	13–3	0.04	26%	19 Jun →
vertigo	2–13	0.06	12%	19 Jun →
cache	17–19	0.04	11%	19 Jun →
mirage	9–13	0.06	24%	18 Jun →
ancient	0–9	-0.01	23%	18 Jun →
inferno	12–16	0.00	8%	16 Jun →
dust2	13–5	0.04	10%	16 Jun →
anubis	9–13	0.10	33%	16 Jun →
cache	13–8	0.04	29%	16 Jun →
nuke	9–13	0.09	26%	13 Jun →
anubis	13–3	0.14	14%	13 Jun →
ancient	10–13	0.00	19%	13 Jun →
inferno	13–4	0.10	21%	13 Jun →
nuke	11–13	0.08	28%	13 Jun →
ancient	13–5	0.08	25%	10 Jun →
cache	13–6	-0.02	18%	10 Jun →
mirage	8–13	0.03	12%	10 Jun →
inferno	13–9	0.03	29%	10 Jun →
dust2	13–9	0.00	26%	6 Jun →
inferno	16–14	-0.02	16%	6 Jun →
mirage	8–13	0.03	24%	6 Jun →
nuke	1–13	-0.03	11%	6 Jun →
ancient	13–1	0.11	9%	6 Jun →
inferno	13–10	0.10	24%	6 Jun →
ancient	8–13	0.00	28%	6 Jun →
dust2	7–13	0.01	15%	6 Jun →
mirage	13–9	0.08	25%	1 Jun →
inferno	1–13	-0.07	18%	1 Jun →
cache	13–2	0.08	18%	1 Jun →
nuke	15–15	0.08	16%	31 May →
inferno	13–8	0.08	28%	31 May →
dust2	7–13	0.02	22%	31 May →
anubis	10–13	0.07	13%	31 May →
cache	13–4	0.01	16%	31 May →
anubis	13–9	0.05	15%	26 May →
ancient	13–7	-0.02	19%	19 May →
dust2	13–7	0.01	19%	19 May →
anubis	13–5	0.06	15%	19 May →
dust2	11–13	0.11	19%	13 May →
nuke	13–4	0.10	20%	13 May →
inferno	13–5	0.07	11%	13 May →
cache	13–3	0.08	13%	13 May →
mirage	13–4	0.16	21%	13 May →
inferno	14–16	-0.02	18%	8 May →
dust2	9–13	0.02	22%	8 May →
cache	9–13	0.00	13%	8 May →
cache	13–3	0.01	10%	8 May →