Yahndi — CS2 Stats

76561198372965355[U:1:412699627]

1,670Tracked matches59%Win rate2024Tracked since

1,808Hours in CS6Hrs last 2 wks

CSDB Rating4.0 Developing

Premier CS Rating12,538Blue band · top ~41.4% of ranked players (population est.)

CSDB Leaderboard#30444 of 45090 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median	Level 5 median	vs Level 5
Headshot rate	45.8%	42.7%	44.0%	above
Shot accuracy	0.4%	10.8%	11.6%	11.2% short
Kill/death ratio	0.83	1.00	1.03	0.20 short
Match win rate	45.2%	44.1%	45.1%	meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim43

Positioning39

Utility31

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWLLWWLWLWW

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

Player DNA

Aim4.3

Aggression5.4

Utility3.1

Positioning3.9

Opening Duels0.8

Clutch3.2

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 74% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Areas to improve

Reaction time. 654ms 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

Aim4.3

Positioning3.9

Utility3.1

Mechanics5.4

Opening Duels1.1

Win Impact7.9

Composite 4.0/10 (Developing), 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 rating-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time652ms−11ms

first ⅓ avg 663ms → last ⅓ avg 652ms

Headshot accuracy15.8%+1.0%

first ⅓ avg 14.8% → last ⅓ avg 15.8%

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

0.23Best rating — cache 6–0

13–1Biggest win — dust2

6Longest win streak

4–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 67% over 9infernoWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	12–12	50%	-0.04
cache	B	17	8–9	47%	-0.01
dust2	B	14	7–7	50%	-0.02
ancient	A	13	8–5	62%	-0.03
inferno	D	10	3–7	30%	-0.04
nuke	S	9	6–3	67%	-0.02
overpass	—	4	3–1	75%	-0.03
vertigo	—	3	1–2	33%	0.00
anubis	—	3	1–2	33%	-0.01
train	—	2	1–1	50%	-0.07
fachwerk	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,402Lifetime kills

0.83K/D

2,585Matches

45.2%Match win rate · Top 50% of Level 4 players

45.8%Headshot % · Top 50% of Level 4 players

0.4%Shot accuracy

4,658MVPs

1,225Hours (in match)

3,253Bombs planted

544Bombs defused

Most-used weapons

AK-4712,321

M4A4 / M4A1-S6,540

AWP3,768

P2000 / USP-S2,588

Desert Eagle2,267

Glock-182,219

MP9876

Galil AR788

FAMAS737

MAC-10604

Lifetime map wins

5,822dust2

3,022nuke

2,918inferno

1,507train

995vertigo

178office

13ar_baggage

12italy

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

Faceit stats

Combat

22Matches

27%Win rate

0.72Avg K/D

61.5ADR

47%Headshot %

Clutches & streaks

36%1v1 clutch win

28%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	17%	0.73	11.3
Nuke	4	50%	0.81	14.3
Inferno	4	25%	0.62	9.8
Dust2	4	25%	0.76	12.5
Train	2	50%	0.82	11.0
Ancient	2	0%	0.46	7.0

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.

15.1%Headshot accuracy

30.7%Accuracy (enemy spotted)

33.5%Spray accuracy

74.2%Counter-strafing

10.8°Preaim

654msReaction time

27.9%T opening success

38.4%CT opening success

0.45Enemies flashed / flash

5.7%Flash assists

6.16HE damage / grenade

5.24Flashes / 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 0.4545 — below the 0.5 mark we flag
Grenade Lineups →
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 27.9089% — 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.

30% win rate across 10 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	13–1	-0.05	23%	28 Aug →
cache	10–13	-0.04	22%	26 Aug →
vertigo	8–13	0.03	14%	25 Aug →
mirage	13–8	-0.06	11%	25 Aug →
inferno	13–5	-0.08	20%	21 Aug →
dust2	7–13	-0.04	24%	19 Aug →
dust2	13–7	0.10	21%	19 Aug →
mirage	11–13	-0.10	6%	15 Aug →
mirage	13–2	-0.02	26%	15 Aug →
ancient	13–2	-0.05	13%	15 Aug →
cache	13–9	-0.06	11%	13 Aug →
dust2	4–9	-0.04	29%	12 Aug →
nuke	13–8	-0.06	9%	8 Aug →
mirage	1–13	-0.02	17%	8 Aug →
ancient	10–13	-0.03	13%	8 Aug →
cache	6–0	0.23	27%	8 Aug →
ancient	13–5	-0.03	15%	5 Aug →
cache	13–2	0.09	26%	5 Aug →
mirage	13–3	-0.07	9%	5 Aug →
ancient	9–13	-0.05	17%	30 Jul →
mirage	13–10	0.01	16%	30 Jul →
vertigo	5–13	-0.01	18%	30 Jul →
ancient	13–8	-0.01	9%	28 Jul →
mirage	13–6	-0.05	6%	28 Jul →
nuke	13–5	-0.05	9%	28 Jul →
mirage	2–13	-0.04	20%	26 Jul →
inferno	12–12	-0.06	14%	26 Jul →
train	13–10	-0.05	10%	26 Jul →
dust2	9–13	-0.00	15%	23 Jul →
mirage	6–13	-0.04	12%	19 Jul →
anubis	6–13	-0.01	13%	19 Jul →
mirage	13–16	-0.04	18%	19 Jul →
fachwerk	13–6	-0.04	13%	19 Jul →
inferno	13–7	-0.09	11%	19 Jul →
cache	1–8	-0.04	0%	19 Jul →
mirage	7–13	-0.04	16%	18 Jul →
inferno	4–13	-0.04	20%	18 Jul →
ancient	5–13	-0.05	9%	18 Jul →
dust2	6–13	-0.06	24%	18 Jul →
train	4–13	-0.08	10%	18 Jul →
cache	3–13	-0.01	20%	18 Jul →
vertigo	13–5	-0.01	19%	18 Jul →
nuke	6–13	-0.03	5%	18 Jul →
mirage	13–11	-0.04	13%	17 Jul →
cache	13–16	-0.06	11%	17 Jul →
mirage	13–11	0.00	28%	17 Jul →
inferno	11–13	-0.01	15%	16 Jul →
cache	14–16	0.01	17%	16 Jul →
cache	13–10	0.02	19%	16 Jul →
inferno	8–13	0.04	7%	16 Jul →
nuke	13–6	-0.06	12%	10 Jul →
ancient	3–13	-0.07	19%	10 Jul →
cache	5–13	-0.01	15%	10 Jul →
ancient	13–5	0.01	25%	9 Jul →
cache	13–6	-0.02	0%	9 Jul →
mirage	13–10	-0.05	24%	9 Jul →
mirage	13–10	-0.06	12%	9 Jul →
mirage	13–1	0.07	8%	9 Jul →
mirage	8–13	-0.07	18%	5 Jul →
ancient	8–13	0.00	15%	4 Jul →
inferno	7–13	-0.09	8%	4 Jul →
mirage	7–13	-0.09	13%	4 Jul →
cache	13–6	0.04	10%	4 Jul →
dust2	9–13	-0.08	8%	4 Jul →
nuke	6–13	-0.04	18%	3 Jul →
overpass	13–4	0.01	24%	3 Jul →
anubis	10–13	-0.03	14%	2 Jul →
inferno	13–5	-0.05	13%	2 Jul →
ancient	13–4	-0.02	13%	2 Jul →
ancient	13–6	-0.00	8%	2 Jul →
cache	13–11	-0.04	17%	2 Jul →
dust2	13–4	0.01	5%	2 Jul →
dust2	13–5	0.03	7%	2 Jul →
nuke	11–13	0.01	13%	25 Jun →
mirage	13–7	-0.02	23%	25 Jun →
nuke	13–10	-0.03	23%	24 Jun →
overpass	13–9	-0.07	12%	24 Jun →
dust2	13–5	-0.01	10%	24 Jun →
mirage	5–13	-0.09	12%	19 Jun →
mirage	12–12	0.02	18%	17 Jun →
cache	4–13	-0.04	13%	17 Jun →
nuke	11–0	0.01	11%	17 Jun →
inferno	9–13	-0.03	26%	15 Jun →
dust2	13–11	-0.03	17%	15 Jun →
ancient	16–13	-0.04	9%	14 Jun →
mirage	9–13	-0.02	20%	14 Jun →
ancient	13–3	0.00	11%	14 Jun →
overpass	13–10	-0.01	16%	14 Jun →
nuke	13–7	0.05	16%	30 May →
cache	2–8	-0.07	11%	29 May →
inferno	8–13	-0.01	27%	29 May →
anubis	13–2	0.02	4%	28 May →
dust2	4–13	-0.03	10%	28 May →
cache	5–13	-0.07	13%	22 May →
dust2	13–9	-0.05	23%	22 May →
mirage	6–13	-0.05	19%	22 May →
overpass	5–13	-0.06	17%	21 May →
dust2	10–13	-0.03	16%	21 May →
mirage	13–7	0.00	14%	21 May →
cache	13–4	-0.02	22%	21 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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