stnyYo — CS2 Stats

76561198276464584[U:1:316198856]

2,605Tracked matches33%Win rate2020Tracked since

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating27,205Top 5% of 29,473 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)

CSDB Leaderboard#1809 of 56015 tracked

FaceitLevel 10 · 2,477 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

Rating over time

27,205Peak Premier on CSDB

2,477Peak Faceit ELO on CSDB

1Days observed since 2026-08-31

Faceit ELO

At peak — 2,477
Next: 2,500 ELO at 2,500 — 23 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-31
Level 9 first seen 2026-08-31

Premier CS Rating

At peak — 27,205
Next: Gold band at 30,000 — 2,795 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-31
Pink band first seen 2026-08-31

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim91

Positioning65

Utility66

0–100 skill scores via Leetify.

Recent form

COLD46–53–1Last 10046%Win rateWLLLLWWLLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

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

Aim9.1

Aggression8.7

Utility6.6

Positioning6.5

Opening Duels3.8

Clutch4.2

Sharp aimer

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 97% playstyle similarity

Most alike: opening-duel success, utility contribution.

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 91 — the mechanical foundation is a clear strength.

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

Aim9.1

Positioning6.5

Utility6.6

Mechanics7.7

Opening Duels3.8

Win Impact0.0

Composite 6.9/10 (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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time535ms−45ms

first ⅓ avg 580ms → last ⅓ avg 535ms

Headshot accuracy26.4%−0.2%

first ⅓ avg 26.6% → last ⅓ avg 26.4%

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

0.18Best rating — nuke 13–5

13–0Biggest win — dust2

7Longest win streak

6–5In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 73% over 11infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	10–11	48%	0.02
dust2	C	19	7–12	37%	0.01
cache	B	15	7–8	47%	0.04
nuke	S	11	8–3	73%	0.06
ancient	A	11	7–4	64%	0.04
inferno	D	9	3–6	33%	0.02
train	—	4	2–2	50%	0.03
vertigo	—	4	1–3	25%	0.04
anubis	—	4	0–4	0%	-0.01
office	—	1	1–0	100%	-0.00
overpass	—	1	0–1	0%	0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,023Matches

52%Win rate

1.22Avg K/D

77.8ADR

37%Headshot %

Clutches & streaks

41%1v1 clutch win

23%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	158	55%	1.28	16.4
Ancient	102	50%	1.12	14.7
Dust2	49	49%	1.16	16.1
Nuke	46	50%	1.12	16.6
Inferno	46	52%	1.25	16.8
Anubis	33	39%	1.12	14.5
Overpass	24	75%	1.11	13.8
Train	14	50%	1.10	17.2

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.

26.0%Headshot accuracy

37.7%Accuracy (enemy spotted)

41.3%Spray accuracy

84.8%Counter-strafing

8.2°Preaim

543msReaction time

39.6%T opening success

50.5%CT opening success

0.62Enemies flashed / flash

6.5%Flash assists

8.24HE damage / grenade

8.93Flashes / 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 39.5793% — 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.

33% win rate across 9 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
cache	13–3	0.09	32%	27 Aug →
cache	8–13	0.02	12%	27 Aug →
inferno	9–13	-0.05	33%	23 Aug →
dust2	10–13	0.08	19%	23 Aug →
nuke	4–13	-0.01	28%	23 Aug →
cache	13–11	0.07	26%	22 Aug →
mirage	13–7	0.04	19%	20 Aug →
mirage	7–13	0.03	46%	19 Aug →
inferno	9–13	-0.00	31%	18 Aug →
mirage	1–7	-0.07	100%	17 Aug →
dust2	13–4	0.02	24%	17 Aug →
ancient	8–13	0.13	15%	17 Aug →
dust2	7–13	0.01	20%	17 Aug →
ancient	13–9	-0.02	25%	13 Aug →
train	10–13	0.04	32%	12 Aug →
vertigo	13–7	0.04	20%	7 Aug →
dust2	1–13	-0.01	21%	7 Aug →
cache	5–13	-0.01	34%	7 Aug →
inferno	7–13	0.05	13%	6 Aug →
nuke	13–11	0.05	25%	6 Aug →
anubis	4–13	-0.01	29%	1 Aug →
dust2	13–5	0.04	20%	31 Jul →
ancient	8–13	0.07	21%	29 Jul →
cache	9–13	0.08	26%	29 Jul →
dust2	13–5	0.16	24%	29 Jul →
vertigo	5–13	-0.02	14%	29 Jul →
dust2	8–13	0.02	29%	28 Jul →
anubis	3–13	0.05	30%	28 Jul →
dust2	6–13	0.02	22%	27 Jul →
cache	13–4	0.17	32%	27 Jul →
dust2	11–13	0.01	24%	27 Jul →
dust2	19–22	0.01	16%	27 Jul →
ancient	13–11	-0.04	9%	26 Jul →
dust2	6–13	-0.02	15%	23 Jul →
anubis	0–4	-0.05	25%	23 Jul →
ancient	13–5	0.06	29%	23 Jul →
cache	13–8	0.09	16%	23 Jul →
mirage	5–13	0.10	32%	22 Jul →
inferno	13–10	0.00	22%	22 Jul →
dust2	13–0	-0.05	31%	22 Jul →
cache	13–0	0.00	15%	22 Jul →
mirage	13–0	-0.04	0%	22 Jul →
inferno	8–13	0.03	20%	20 Jul →
dust2	13–4	0.05	16%	20 Jul →
ancient	13–8	0.01	18%	20 Jul →
cache	13–5	0.01	29%	19 Jul →
mirage	13–9	0.02	12%	17 Jul →
nuke	13–0	0.08	14%	17 Jul →
dust2	13–9	-0.04	19%	17 Jul →
mirage	13–9	0.08	27%	15 Jul →
cache	6–13	0.08	20%	13 Jul →
mirage	11–5	-0.01	16%	13 Jul →
vertigo	9–13	0.18	23%	13 Jul →
nuke	13–5	0.18	29%	12 Jul →
office	13–5	-0.00	17%	12 Jul →
mirage	14–16	0.01	13%	12 Jul →
cache	6–13	-0.06	6%	8 Jul →
ancient	6–13	0.05	25%	7 Jul →
cache	8–13	-0.04	24%	6 Jul →
ancient	13–5	-0.02	15%	5 Jul →
dust2	0–5	-0.06	33%	2 Jul →
mirage	2–5	-0.00	50%	2 Jul →
nuke	6–13	0.02	29%	2 Jul →
nuke	13–7	0.06	18%	1 Jul →
mirage	3–13	-0.08	21%	1 Jul →
inferno	13–3	0.11	21%	1 Jul →
cache	13–5	0.04	24%	1 Jul →
cache	7–13	0.06	21%	1 Jul →
mirage	6–13	0.01	20%	29 Jun →
mirage	9–13	0.01	24%	27 Jun →
mirage	13–7	0.05	17%	27 Jun →
inferno	13–7	-0.00	16%	27 Jun →
overpass	4–13	0.09	18%	25 Jun →
anubis	0–13	-0.04	50%	25 Jun →
dust2	10–13	-0.00	33%	25 Jun →
mirage	11–13	0.15	16%	24 Jun →
mirage	2–13	0.05	30%	24 Jun →
train	1–9	-0.04	29%	24 Jun →
vertigo	3–13	-0.04	30%	24 Jun →
mirage	11–13	0.02	24%	24 Jun →
mirage	13–3	0.04	19%	23 Jun →
dust2	13–7	-0.04	28%	23 Jun →
nuke	13–3	0.08	29%	23 Jun →
inferno	15–15	0.05	31%	22 Jun →
nuke	10–13	0.05	14%	22 Jun →
inferno	5–13	-0.04	35%	22 Jun →
nuke	13–6	0.01	18%	22 Jun →
dust2	9–13	0.01	43%	22 Jun →
mirage	13–4	0.03	38%	22 Jun →
ancient	11–13	0.07	24%	21 Jun →
ancient	13–11	0.04	14%	21 Jun →
train	13–9	0.10	18%	21 Jun →
train	13–5	0.01	24%	21 Jun →
cache	5–13	0.00	33%	21 Jun →
mirage	13–6	-0.06	46%	21 Jun →
mirage	13–10	-0.00	36%	21 Jun →
nuke	13–11	0.02	30%	16 Jun →
dust2	8–13	0.07	19%	16 Jun →
nuke	16–14	0.10	28%	15 Jun →
ancient	13–1	0.10	27%	15 Jun →