♡𝕯4𝖈𝕶3𝖑♡ — CS2 Stats

DE76561197966293822[U:1:6028094]Steam profile ↗✓ No bans

2,479Tracked matches50%Win rate2021Tracked since

CSDB Rating5.2 DevelopingSupport

Premier CS Rating18,983Top 50% of 211,827 CSDB-tracked playersPurple band · top ~12.5% of ranked players (population est.)

CSDB Leaderboard#99017 of 258884 tracked

FaceitLevel 7 · 1,476 ELOTop 42.3% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,983 +970 30 Aug – 28 Oct · 32 days played

Faceit ELO: 1,476 +0 30 Aug – 24 Sept · 5 observations

19,999Peak Premier in tracked matches

1,476Highest Faceit ELO seen on CSDB

27Days played since 2026-08-30

Faceit ELO

At peak — 1,476
0 over 30 days · steady
Next: Level 8 at 1,531 — 55 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-08-30
Level 6 first seen 2026-08-30

Premier CS Rating

676 below peak (19,659)
-231 over 30 days · steady
Next: Pink band at 20,000 — 1,017 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-30
Blue band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim54

Positioning52

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateWLWWLLWWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +2.3pp headshot accuracy · +2ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 15%
Avg reaction 606ms

Last 10

5–5 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 15%
Avg reaction 636ms

Last 20

11–9 · 55% win rate
Avg rating -0.00
Avg headshot accuracy 14%
Avg reaction 635ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim5.4

Utility5.4

Positioning5.2

Opening Duels1.8

Clutch3.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like NiKo 77% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 624ms 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

Aim5.4

Positioning5.2

Utility5.4

Mechanics6.1

Opening Duels3.5

Win Impact5.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time619ms−11ms

first ⅓ avg 630ms → last ⅓ avg 619ms

Headshot accuracy14.7%−1.2%

first ⅓ avg 15.9% → last ⅓ avg 14.7%

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.

Personal bests

0.12Best match rating · 13–4 · cache, 15 Oct →

33%Best headshot accuracy · 13–9 · dust2, 4 Sept →

375msFastest reaction time · 11–13 · ancient, 7 Oct →

13–1Biggest win · mirage, 27 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

8–4In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 75% over 20infernoWeakest map · 32% over 25

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	25	8–17	32%	-0.01
dust2	A	22	12–10	55%	-0.01
nuke	S	20	15–5	75%	0.01
cache	B	12	6–6	50%	-0.01
mirage	D	9	3–6	33%	-0.03
anubis	C	8	3–5	38%	-0.00
ancient	—	4	3–1	75%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

448Matches

50%Win rate

0.99Avg K/D

74.3ADR

37%Headshot %

Clutches & streaks

35%1v1 clutch win

16%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	129	57%	1.04	14.5
Ancient	65	51%	1.03	15.6
Anubis	61	54%	1.05	16.0
Dust2	52	46%	1.03	14.2
Nuke	47	51%	0.85	13.3
Mirage	24	21%	0.76	13.6
Train	21	48%	0.92	14.2
Vertigo	5	0%	0.71	11.4

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.

14.4%Headshot accuracy

34.8%Accuracy (enemy spotted)

38.0%Spray accuracy

77.6%Counter-strafing

12.1°Preaim

624msReaction time

50.7%T opening success

37.1%CT opening success

0.53Enemies flashed / flash

11.9%Flash assists

9.21HE damage / grenade

5.02Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1056° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.407% — below the 15% mark we flag
Aim Training →

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.

32% win rate across 25 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	13–6	0.04	24%	28 Oct →
inferno	14–16	-0.06	11%	28 Oct →
dust2	13–11	-0.02	20%	28 Oct →
inferno	13–8	0.04	11%	28 Oct →
anubis	11–13	0.02	9%	28 Oct →
nuke	5–13	-0.05	21%	27 Oct →
cache	13–2	-0.02	13%	27 Oct →
mirage	13–1	0.01	21%	27 Oct →
inferno	9–13	0.01	9%	27 Oct →
inferno	12–16	-0.03	13%	25 Oct →
nuke	13–3	0.05	18%	25 Oct →
ancient	13–7	-0.01	14%	25 Oct →
mirage	10–13	-0.02	10%	25 Oct →
dust2	13–10	-0.02	11%	25 Oct →
inferno	4–13	-0.01	17%	24 Oct →
nuke	13–9	0.01	12%	24 Oct →
cache	13–3	-0.06	9%	24 Oct →
dust2	12–16	-0.03	16%	24 Oct →
anubis	10–13	-0.04	5%	24 Oct →
cache	13–4	0.12	16%	15 Oct →
inferno	13–11	-0.03	22%	13 Oct →
inferno	10–13	-0.01	17%	13 Oct →
dust2	7–13	-0.03	22%	12 Oct →
nuke	16–12	-0.00	11%	12 Oct →
inferno	5–13	-0.03	10%	12 Oct →
nuke	13–7	0.01	16%	12 Oct →
anubis	10–13	0.05	19%	12 Oct →
dust2	13–16	-0.00	17%	10 Oct →
nuke	7–13	0.00	10%	10 Oct →
inferno	13–5	0.07	15%	10 Oct →
mirage	15–15	-0.05	14%	10 Oct →
cache	13–9	-0.03	17%	9 Oct →
inferno	3–13	-0.03	15%	9 Oct →
nuke	6–13	-0.01	20%	9 Oct →
dust2	13–8	-0.04	18%	9 Oct →
ancient	11–13	-0.07	8%	7 Oct →
mirage	7–13	-0.05	22%	7 Oct →
dust2	5–13	-0.01	25%	5 Oct →
nuke	13–9	-0.03	10%	5 Oct →
inferno	16–14	0.05	11%	5 Oct →
inferno	13–6	-0.04	6%	5 Oct →
dust2	15–15	0.01	21%	3 Oct →
mirage	7–13	-0.08	11%	3 Oct →
nuke	16–13	0.06	14%	3 Oct →
dust2	13–11	-0.02	18%	3 Oct →
nuke	13–2	0.06	14%	3 Oct →
inferno	4–13	-0.01	18%	3 Oct →
ancient	13–8	-0.01	14%	2 Oct →
inferno	6–13	-0.01	13%	2 Oct →
nuke	4–13	-0.01	7%	2 Oct →
inferno	13–7	0.08	7%	2 Oct →
mirage	13–11	0.03	12%	2 Oct →
mirage	6–13	-0.04	10%	2 Oct →
inferno	5–13	-0.08	11%	30 Sept →
anubis	8–13	-0.03	12%	30 Sept →
anubis	13–6	-0.03	14%	28 Sept →
dust2	13–10	-0.02	10%	28 Sept →
dust2	9–13	-0.04	18%	27 Sept →
dust2	3–13	-0.06	23%	27 Sept →
nuke	11–13	-0.01	15%	26 Sept →
mirage	13–3	-0.02	15%	26 Sept →
mirage	9–13	-0.06	17%	26 Sept →
anubis	13–4	-0.03	11%	25 Sept →
nuke	13–11	0.01	9%	25 Sept →
dust2	13–5	-0.05	16%	25 Sept →
inferno	9–13	-0.06	8%	25 Sept →
dust2	16–13	0.03	13%	19 Sept →
dust2	13–8	0.00	14%	19 Sept →
nuke	13–7	0.06	9%	19 Sept →
inferno	13–16	-0.01	26%	19 Sept →
inferno	9–13	-0.11	2%	19 Sept →
dust2	13–4	0.08	23%	18 Sept →
nuke	13–4	-0.06	17%	18 Sept →
dust2	4–13	-0.01	19%	18 Sept →
inferno	13–6	0.05	10%	18 Sept →
cache	13–7	0.03	20%	18 Sept →
nuke	13–4	0.00	14%	14 Sept →
inferno	13–10	0.01	18%	14 Sept →
nuke	13–11	-0.05	14%	14 Sept →
cache	7–13	0.00	24%	12 Sept →
nuke	13–7	-0.03	19%	12 Sept →
anubis	6–13	-0.03	11%	12 Sept →
cache	7–13	-0.03	9%	12 Sept →
cache	13–6	-0.04	21%	12 Sept →
cache	6–13	-0.05	16%	11 Sept →
nuke	13–11	0.01	18%	11 Sept →
dust2	10–13	0.00	19%	11 Sept →
inferno	8–13	0.01	14%	11 Sept →
inferno	7–13	-0.06	18%	11 Sept →
dust2	7–13	-0.03	12%	8 Sept →
inferno	6–13	-0.04	5%	8 Sept →
cache	3–13	-0.01	14%	5 Sept →
inferno	9–13	-0.03	16%	5 Sept →
cache	10–13	-0.03	17%	5 Sept →
anubis	13–3	0.08	18%	5 Sept →
nuke	13–7	0.11	16%	4 Sept →
ancient	13–2	-0.01	12%	4 Sept →
dust2	13–9	0.07	33%	4 Sept →
cache	10–13	-0.04	12%	4 Sept →
dust2	13–10	-0.02	17%	3 Sept →