♡𝕯4𝖈𝕶3𝖑♡ — CS2 Stats

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

2,413Tracked matches50%Win rate2021Tracked since

CSDB Rating4.9 DevelopingSupport

Premier CS Rating18,790Top 50% of 194,975 CSDB-tracked playersPurple band · top ~13.3% of ranked players (population est.)

CSDB Leaderboard#95158 of 242586 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 19 Sep 2026 (5 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 24 days played since 31 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 18,790 +2,464 31 Jul – 19 Sept · 27 days played

Faceit ELO: 1,476 +0 30 Aug – 17 Sept · 4 observations

18,816Peak Premier in tracked matches

1,476Highest Faceit ELO seen on CSDB

24Days played since 2026-07-31

Faceit ELO

At peak — 1,476
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

At peak — 18,790
+669 over 30 days · improving
Next: Pink band at 20,000 — 1,210 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

Aim46

Positioning54

Utility54

0–100 skill scores via Leetify.

Recent form

HOT49–49–2Last 10049%Win rateWWWLLWWLWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −1.2pp headshot accuracy · −28ms 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 13%
Avg reaction 584ms

Last 10

7–3 · 70% win rate
Avg rating 0.01
Avg headshot accuracy 15%
Avg reaction 619ms

Last 20

13–7 · 65% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 633ms

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 (+1.3 against its own average).

Aim4.6

Utility5.4

Positioning5.4

Opening Duels2.5

Clutch3.0

Limited utility dependence

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 71% 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. 627ms 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

Aim4.6

Positioning5.4

Utility5.4

Mechanics5.8

Opening Duels3.1

Win Impact5.0

Composite 4.9/10 (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-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time631ms+9ms

first ⅓ avg 622ms → last ⅓ avg 631ms

Headshot accuracy15.8%+1.4%

first ⅓ avg 14.3% → 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.

Personal bests

0.11Best match rating · 13–7 · nuke, 4 Sept →

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

453msFastest reaction time · 3–13 · cache, 5 Sept →

13–1Biggest win · inferno, 7 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W3Current streak

6–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 70% over 20cacheWeakest map · 35% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	30	13–17	43%	-0.01
inferno	B	27	13–14	48%	-0.01
nuke	S	20	14–6	70%	0.01
cache	C	17	6–11	35%	-0.03
anubis	—	2	1–1	50%	0.03
ancient	—	2	2–0	100%	0.01
mirage	—	2	0–2	0%	-0.02

Across the last 100 tracked matches.

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.

15.5%Headshot accuracy

33.9%Accuracy (enemy spotted)

33.3%Spray accuracy

75.9%Counter-strafing

12.6°Preaim

627msReaction time

38.0%T opening success

46.9%CT opening success

0.50Enemies flashed / flash

12.4%Flash assists

14.24HE damage / grenade

3.72Flashes / 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 12.6354° — above the 12° mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7175 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

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