scenecore — CS2 Stats

KR76561198891375572[U:1:931109844]Steam profile ↗✓ No bans

3,506Tracked matches53%Win rate2020Tracked since

CSDB Rating6.8 SolidPassive Rifler

CSDB Leaderboard#11031 of 13809 tracked

FaceitLevel 10 · 3,564 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

Rating over time

3,564Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 3,564
Next: 4,000 ELO at 4,000 — 436 to go
Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
3,500 ELO first seen 2026-08-28
3,000 ELO first seen 2026-08-28

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

Aim94

Positioning46

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateLLWWLLWLWW

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

Player DNA

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

Aim9.4

Aggression2.0

Utility6.5

Positioning4.6

Opening Duels0.0

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 NiKo 87% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; lower 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 94 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 48 points — deaths here waste a strong aim profile.

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

Aim9.4

Positioning4.6

Utility6.5

Mechanics7.7

Opening Duels0.0

Win Impact6.1

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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time439ms−36ms

first ⅓ avg 475ms → last ⅓ avg 439ms

Headshot accuracy23.8%+2.3%

first ⅓ avg 21.5% → last ⅓ avg 23.8%

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 — poseidon 9–3

13–1Biggest win — dust2

6Longest win streak

L2Current streak

11–16In matches decided by ≤2 rounds

20Overtime games

Map breakdown

mirageBest map · 59% over 17officeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	25	13–12	52%	-0.00
mirage	A	17	10–7	59%	0.00
dust2	C	13	5–8	38%	-0.03
inferno	A	12	7–5	58%	-0.01
anubis	B	12	6–6	50%	0.01
cache	C	9	4–5	44%	0.01
office	D	5	1–4	20%	0.05
nuke	—	3	0–3	0%	0.01
poseidon	—	2	2–0	100%	0.19
overpass	—	2	1–1	50%	-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

4,507Matches

57%Win rate

1.31Avg K/D

88.6ADR

55%Headshot %

Clutches & streaks

41%1v1 clutch win

24%1v2 clutch win

18Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	552	60%	1.39	18.5
Ancient	378	61%	1.44	18.0
Anubis	369	59%	1.38	18.0
Dust2	153	59%	1.34	17.4
Vertigo	125	62%	1.39	18.7
Nuke	93	49%	1.28	17.0
Train	46	59%	1.28	17.4
Overpass	45	60%	1.33	21.4

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.

22.8%Headshot accuracy

40.4%Accuracy (enemy spotted)

42.6%Spray accuracy

84.5%Counter-strafing

8.7°Preaim

443msReaction time

24.2%T opening success

29.9%CT opening success

0.63Enemies flashed / flash

8.4%Flash assists

7.85HE damage / grenade

14.26Flashes / 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 24.1889% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	-0.00	31%	27 Aug →
ancient	14–16	-0.03	22%	27 Aug →
anubis	13–6	-0.05	23%	26 Aug →
inferno	16–14	-0.02	33%	26 Aug →
mirage	13–16	0.03	27%	25 Aug →
dust2	7–13	-0.03	26%	25 Aug →
mirage	13–11	-0.04	18%	22 Aug →
inferno	7–13	-0.07	15%	22 Aug →
dust2	13–1	0.01	26%	22 Aug →
mirage	13–7	0.01	18%	20 Aug →
inferno	13–4	0.04	29%	20 Aug →
ancient	17–19	0.03	20%	19 Aug →
nuke	5–13	-0.03	53%	19 Aug →
anubis	19–17	0.00	23%	17 Aug →
ancient	19–16	-0.00	20%	17 Aug →
cache	9–13	0.01	21%	17 Aug →
ancient	13–2	0.05	19%	16 Aug →
anubis	13–9	0.02	15%	16 Aug →
mirage	6–13	-0.05	23%	15 Aug →
ancient	13–9	0.06	14%	15 Aug →
cache	7–13	-0.07	28%	15 Aug →
anubis	16–13	0.06	15%	14 Aug →
mirage	16–14	0.00	12%	14 Aug →
dust2	11–13	-0.05	14%	9 Aug →
anubis	6–13	-0.04	19%	9 Aug →
ancient	13–7	-0.02	29%	9 Aug →
ancient	6–13	-0.03	43%	9 Aug →
mirage	13–11	-0.06	24%	9 Aug →
cache	16–14	-0.08	22%	9 Aug →
inferno	2–13	-0.05	16%	8 Aug →
dust2	10–13	-0.00	24%	8 Aug →
anubis	13–5	0.01	42%	7 Aug →
ancient	13–10	0.03	21%	7 Aug →
ancient	13–3	0.02	27%	7 Aug →
inferno	13–5	0.01	30%	7 Aug →
anubis	29–31	-0.00	19%	6 Aug →
cache	14–16	-0.06	25%	6 Aug →
dust2	13–5	-0.03	20%	4 Aug →
ancient	16–14	0.01	20%	4 Aug →
nuke	11–13	0.03	24%	3 Aug →
ancient	10–13	-0.02	24%	3 Aug →
ancient	13–2	0.03	18%	30 Jul →
mirage	14–16	0.05	20%	30 Jul →
cache	10–13	-0.04	20%	30 Jul →
cache	8–13	-0.02	19%	29 Jul →
inferno	7–13	-0.03	41%	29 Jul →
ancient	13–7	0.01	27%	28 Jul →
mirage	20–22	-0.01	20%	28 Jul →
cache	13–10	0.06	38%	28 Jul →
dust2	6–13	-0.08	10%	28 Jul →
inferno	13–8	-0.04	32%	28 Jul →
mirage	8–13	-0.08	4%	28 Jul →
ancient	13–7	0.01	26%	27 Jul →
mirage	13–10	0.01	15%	27 Jul →
inferno	5–9	-0.06	24%	24 Jun →
nuke	8–8	0.04	26%	24 Jun →
mirage	13–4	0.01	16%	16 Jun →
dust2	13–10	-0.03	21%	15 Jun →
dust2	13–9	-0.00	16%	11 Jun →
mirage	16–12	0.00	19%	4 Jun →
ancient	13–2	0.09	26%	29 May →
poseidon	9–4	0.15	34%	21 May →
office	10–13	0.03	28%	13 May →
cache	13–5	0.06	23%	2 May →
cache	13–3	0.21	38%	1 May →
office	11–13	0.06	36%	1 May →
office	8–13	0.02	32%	27 Apr →
poseidon	9–3	0.23	39%	25 Apr →
ancient	14–16	-0.05	15%	29 Mar →
mirage	11–13	-0.01	30%	29 Mar →
anubis	8–13	0.04	18%	29 Mar →
inferno	16–14	-0.04	18%	24 Mar →
dust2	11–13	-0.02	36%	24 Mar →
ancient	4–13	-0.04	21%	24 Mar →
dust2	8–13	-0.07	30%	24 Mar →
office	10–13	-0.01	32%	21 Mar →
mirage	16–14	0.07	25%	20 Mar →
office	13–11	0.14	20%	19 Mar →
ancient	4–13	-0.11	15%	13 Mar →
ancient	4–13	-0.11	15%	13 Mar →
inferno	16–14	0.04	19%	13 Mar →
anubis	11–13	-0.05	36%	26 Feb →
overpass	13–8	0.02	24%	26 Feb →
ancient	11–13	-0.00	20%	26 Feb →
mirage	6–13	0.08	15%	26 Feb →
anubis	9–13	0.05	18%	26 Feb →
anubis	9–4	0.06	15%	24 Feb →
ancient	13–9	0.02	18%	24 Feb →
dust2	11–13	-0.05	24%	22 Feb →
overpass	7–13	-0.04	14%	22 Feb →
ancient	9–13	-0.03	15%	16 Feb →
dust2	3–13	-0.02	15%	16 Feb →
mirage	13–4	0.01	20%	16 Feb →
mirage	13–3	0.07	12%	15 Feb →
inferno	13–7	0.07	22%	15 Feb →
ancient	15–19	0.00	26%	15 Feb →
ancient	11–13	-0.02	18%	14 Feb →
ancient	13–6	0.02	16%	12 Feb →
anubis	10–13	-0.00	24%	12 Feb →
dust2	13–1	-0.03	22%	10 Feb →