funyun — CS2 Stats

US76561198210765372[U:1:250499644]Steam profile ↗✓ No bans

2,342Tracked matches64%Win rate2021Tracked since

CSDB Rating7.3 StrongHybrid Rifler

Premier CS Rating25,582Top 25% of 819 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

CSDB Leaderboard#1050 of 7772 tracked

FaceitLevel 9 · 2,101 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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

Aim88

Positioning47

Utility64

0–100 skill scores via Leetify.

Recent form

HOT61–37–2Last 10061%Win rateWWLWLWWLWW

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.8

Aggression5.0

Utility6.4

Positioning4.7

Opening Duels1.0

Clutch3.6

Sharp aimerExcellent counter-strafingEffective flashes

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 NiKo 94% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

Reaction time. 560ms 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

Aim8.8

Positioning4.7

Utility6.4

Mechanics8.8

Opening Duels1.0

Win Impact9.8

Composite 7.3/10 (Strong), 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 time559ms−23ms

first ⅓ avg 582ms → last ⅓ avg 559ms

Headshot accuracy21.0%+0.9%

first ⅓ avg 20.1% → last ⅓ avg 21.0%

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

0.22Best rating — ancient 13–3

13–0Biggest win — cache

6Longest win streak

W2Current streak

8–11In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 78% over 9infernoWeakest map · 50% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	29	18–11	62%	0.01
cache	A	27	17–10	63%	0.03
dust2	A	16	10–6	63%	0.01
anubis	A	9	5–4	56%	-0.00
ancient	S	9	7–2	78%	0.07
inferno	B	6	3–3	50%	-0.01
nuke	—	3	1–2	33%	0.04
office	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,564Matches

50%Win rate

0.99Avg K/D

74.4ADR

50%Headshot %

Clutches & streaks

38%1v1 clutch win

18%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	414	49%	1.01	15.0
Dust2	310	51%	0.96	14.8
Anubis	225	52%	0.97	14.5
Ancient	198	46%	0.98	15.6
Inferno	132	45%	0.94	14.4
Train	56	57%	1.13	15.6
Overpass	37	54%	0.96	15.2
Cache	35	60%	1.01	14.8

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.

20.2%Headshot accuracy

38.4%Accuracy (enemy spotted)

40.0%Spray accuracy

89.7%Counter-strafing

8.7°Preaim

560msReaction time

32.6%T opening success

35.5%CT opening success

0.73Enemies flashed / flash

8.3%Flash assists

9.46HE damage / grenade

9.87Flashes / 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 32.6165% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–9	-0.01	11%	28 Aug →
dust2	13–8	0.08	33%	28 Aug →
mirage	10–13	-0.01	19%	27 Aug →
anubis	13–8	-0.06	16%	27 Aug →
cache	11–13	-0.00	14%	26 Aug →
anubis	13–11	0.04	10%	26 Aug →
cache	13–3	-0.06	13%	26 Aug →
mirage	6–13	-0.02	21%	25 Aug →
inferno	13–8	-0.03	12%	25 Aug →
dust2	13–11	0.01	25%	25 Aug →
anubis	16–14	-0.01	14%	25 Aug →
ancient	13–3	0.13	25%	25 Aug →
mirage	15–15	0.02	16%	24 Aug →
mirage	11–13	-0.03	15%	24 Aug →
anubis	13–8	0.03	14%	24 Aug →
dust2	5–13	-0.04	11%	23 Aug →
mirage	8–13	0.03	30%	23 Aug →
mirage	13–6	0.06	21%	23 Aug →
cache	13–5	0.03	30%	23 Aug →
dust2	13–4	0.04	32%	23 Aug →
dust2	13–9	-0.03	22%	21 Aug →
cache	14–16	-0.00	22%	21 Aug →
ancient	13–8	-0.06	19%	21 Aug →
mirage	13–5	0.08	26%	21 Aug →
ancient	5–13	0.01	24%	20 Aug →
mirage	15–15	-0.02	27%	20 Aug →
ancient	13–3	0.22	31%	20 Aug →
ancient	3–13	-0.02	27%	19 Aug →
inferno	4–13	-0.00	15%	19 Aug →
mirage	13–9	-0.03	23%	18 Aug →
mirage	11–13	0.03	28%	17 Aug →
mirage	8–13	-0.06	15%	14 Aug →
mirage	4–11	-0.08	35%	14 Aug →
inferno	13–8	-0.05	21%	14 Aug →
anubis	11–13	0.04	14%	8 Aug →
ancient	13–8	0.06	22%	8 Aug →
dust2	13–8	0.03	19%	8 Aug →
cache	11–13	0.05	24%	28 Jul →
dust2	13–6	-0.02	21%	28 Jul →
ancient	13–5	0.14	23%	27 Jul →
mirage	7–13	0.03	15%	27 Jul →
cache	16–13	0.02	19%	27 Jul →
cache	13–0	0.00	0%	27 Jul →
dust2	13–16	-0.04	22%	26 Jul →
mirage	13–10	-0.08	11%	26 Jul →
inferno	5–13	-0.02	15%	26 Jul →
dust2	7–13	-0.00	18%	24 Jul →
anubis	10–13	-0.01	17%	24 Jul →
inferno	13–1	0.04	18%	23 Jul →
ancient	13–10	0.07	19%	23 Jul →
ancient	13–7	0.08	17%	23 Jul →
mirage	13–9	-0.01	19%	23 Jul →
mirage	13–5	0.04	17%	22 Jul →
cache	13–1	0.08	19%	22 Jul →
cache	4–13	-0.08	4%	22 Jul →
dust2	16–14	-0.01	21%	21 Jul →
cache	5–13	0.02	24%	21 Jul →
anubis	13–11	0.02	18%	19 Jul →
mirage	1–13	-0.07	13%	19 Jul →
cache	11–13	0.00	15%	19 Jul →
mirage	13–10	-0.01	23%	18 Jul →
anubis	5–13	-0.07	21%	18 Jul →
cache	11–13	-0.05	31%	18 Jul →
mirage	13–6	0.10	27%	18 Jul →
mirage	13–11	0.00	18%	18 Jul →
cache	13–2	0.09	12%	17 Jul →
cache	13–8	0.06	19%	17 Jul →
dust2	10–13	-0.06	14%	17 Jul →
cache	11–13	0.05	22%	17 Jul →
cache	16–12	0.08	24%	17 Jul →
mirage	13–3	-0.05	9%	17 Jul →
anubis	8–13	-0.00	18%	15 Jul →
mirage	13–7	0.01	11%	15 Jul →
cache	13–5	-0.00	15%	15 Jul →
mirage	13–8	0.01	18%	14 Jul →
nuke	11–13	0.05	21%	14 Jul →
dust2	7–13	-0.03	28%	8 Jul →
mirage	13–6	0.11	24%	7 Jul →
mirage	13–10	0.06	24%	6 Jul →
inferno	9–13	0.01	11%	4 Jul →
nuke	7–13	0.01	18%	4 Jul →
nuke	13–11	0.08	20%	4 Jul →
office	8–13	0.03	25%	4 Jul →
cache	13–2	0.12	19%	3 Jul →
mirage	13–1	0.07	21%	3 Jul →
dust2	13–9	0.07	17%	3 Jul →
cache	13–11	0.04	25%	3 Jul →
mirage	13–5	0.02	13%	2 Jul →
cache	13–3	0.07	14%	2 Jul →
cache	10–13	0.07	21%	1 Jul →
cache	13–8	0.08	23%	1 Jul →
dust2	13–6	0.08	26%	1 Jul →
cache	11–13	-0.02	22%	30 Jun →
mirage	13–3	0.08	30%	29 Jun →
dust2	13–9	0.11	19%	29 Jun →
cache	13–8	0.02	28%	29 Jun →
cache	13–6	0.07	23%	29 Jun →
cache	13–8	0.07	21%	29 Jun →
dust2	5–13	-0.02	21%	28 Jun →
cache	13–5	0.12	17%	28 Jun →