❤☠𝕵𝖔𝖘𝖘𝖚☠❤ — CS2 Stats

FI76561198072747686[U:1:112481958]Steam profile ↗✓ No bans

5,366Tracked matches40%Win rate2023Tracked since

5,680Hours in CS44Hrs last 2 wks

CSDB Rating3.6 LearningPositional Player

Premier CS Rating3,537Grey band · top ~85% of ranked players (population est.)

CSDB Leaderboard#183308 of 232273 tracked

FaceitLevel 2 · 692 ELOTop 97.9% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−39Premier CS Rating · 3,576 → 3,537

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. 17 days played since 27 Aug 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: 3,537 -434 27 Aug – 20 Sept · 15 days played

4,376Peak Premier in tracked matches

692Highest Faceit ELO seen on CSDB

17Days played since 2026-08-27

Faceit ELO

At peak — 692
Next: Level 3 at 751 — 59 to go
Reached: Level 2
Level 2 first seen 2026-09-09

Premier CS Rating

434 below peak (3,971)
-434 over 30 days · declining
Next: Light Blue band at 5,000 — 1,463 to go

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.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,399), 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 2 median	Level 3 median	vs Level 3
Headshot rate	33.0%	41.3%	41.9%	8.9% short
Shot accuracy	7.4%	12.6%	12.2%	4.8% short
Kill/death ratio	0.87	0.95	0.98	0.11 short
Match win rate	42.4%	42.5%	43.3%	meets

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim33

Positioning50

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLLWLWWLLWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −0.7pp headshot accuracy · −31ms 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

2–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 641ms

Last 10

5–5 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 13%
Avg reaction 674ms

Last 20

9–11 · 45% win rate
Avg rating -0.02
Avg headshot accuracy 13%
Avg reaction 690ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim3.3

Utility4.1

Positioning5.0

Opening Duels1.3

Clutch2.6

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 68% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 691ms 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

Aim3.3

Positioning5.0

Utility4.1

Mechanics4.9

Opening Duels4.5

Win Impact1.7

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02

first ⅓ avg -0.00 → last ⅓ avg -0.03

Reaction time693ms+12ms

first ⅓ avg 681ms → last ⅓ avg 693ms

Headshot accuracy12.2%−0.6%

first ⅓ avg 12.8% → last ⅓ avg 12.2%

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

0.16Best match rating · 13–1 · nuke, 27 Aug →

26%Best headshot accuracy · 11–13 · inferno, 30 Aug →

438msFastest reaction time · 9–13 · inferno, 29 Aug →

13–1Biggest win · nuke, 27 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak

L2Current streak

8–15In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 60% over 10cacheWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	24	12–12	50%	-0.03
nuke	B	21	11–10	52%	0.02
mirage	D	17	5–12	29%	-0.02
ancient	C	14	6–8	43%	-0.00
dust2	A	10	6–4	60%	-0.02
cache	D	8	1–7	13%	-0.05
anubis	—	3	1–2	33%	-0.00
vertigo	—	2	1–1	50%	-0.01
train	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Lifetime stats

110,354Lifetime kills

0.87K/D

7,069Matches

42.4%Match win rate

33.0%Headshot %

7.4%Shot accuracy

13,549MVPs

2,784Hours (in match)

6,392Bombs planted

1,192Bombs defused

Most-used weapons

AK-4727,373

M4A4 / M4A1-S26,499

Galil AR11,680

Glock-184,168

FAMAS4,044

P2000 / USP-S3,857

SG 5533,751

MP93,419

P902,834

MP72,525

Lifetime map wins

13,319nuke

8,819inferno

3,468dust2

3,317vertigo

1,711train

505cbble

298office

56sugarcane

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

Faceit stats

Combat

732Matches

47%Win rate

0.84Avg K/D

77.4ADR

35%Headshot %

Clutches & streaks

33%1v1 clutch win

18%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	223	53%	0.94	14.3
Mirage	123	38%	0.76	13.0
Inferno	120	56%	0.80	13.2
Ancient	89	43%	0.80	13.4
Dust2	52	38%	0.79	13.0
Overpass	49	41%	0.83	14.3
Train	42	48%	0.88	14.5
Anubis	18	39%	0.86	12.7

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.

12.3%Headshot accuracy

33.1%Accuracy (enemy spotted)

34.0%Spray accuracy

72.0%Counter-strafing

12.4°Preaim

691msReaction time

66.3%T opening success

29.8%CT opening success

0.45Enemies flashed / flash

0.5%Flash assists

8.51HE damage / grenade

3.43Flashes / 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 12.3836° — 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 12.3032% — below the 15% mark we flag
Aim Training →
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 0.4482 — below the 0.5 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	3–13	-0.02	19%	20 Sept →
inferno	6–13	-0.03	20%	20 Sept →
ancient	13–11	-0.01	15%	20 Sept →
mirage	6–13	0.03	14%	17 Sept →
inferno	13–10	-0.05	11%	17 Sept →
nuke	13–8	-0.01	4%	17 Sept →
dust2	9–13	0.08	18%	17 Sept →
mirage	11–13	-0.00	12%	17 Sept →
mirage	13–9	-0.02	5%	17 Sept →
cache	13–11	-0.05	8%	16 Sept →
ancient	11–13	-0.03	20%	16 Sept →
inferno	13–9	-0.05	10%	16 Sept →
ancient	8–13	-0.02	7%	16 Sept →
dust2	13–9	-0.05	9%	16 Sept →
dust2	12–3	-0.05	12%	16 Sept →
anubis	10–13	-0.02	3%	16 Sept →
nuke	8–13	-0.05	22%	16 Sept →
train	10–13	-0.04	17%	16 Sept →
dust2	6–13	-0.02	14%	15 Sept →
nuke	13–9	0.02	21%	15 Sept →
ancient	8–13	-0.01	5%	15 Sept →
inferno	12–16	-0.04	13%	15 Sept →
cache	9–13	-0.05	3%	15 Sept →
nuke	13–10	0.02	14%	15 Sept →
inferno	13–10	0.01	11%	15 Sept →
inferno	5–13	-0.11	8%	14 Sept →
nuke	11–13	-0.02	16%	14 Sept →
cache	8–13	-0.04	18%	14 Sept →
nuke	13–9	-0.02	19%	14 Sept →
ancient	9–13	-0.06	4%	10 Sept →
anubis	4–13	-0.02	13%	10 Sept →
mirage	10–13	-0.03	15%	10 Sept →
cache	15–15	-0.07	5%	10 Sept →
inferno	13–11	-0.05	6%	10 Sept →
inferno	9–7	0.02	19%	10 Sept →
mirage	13–9	-0.07	11%	9 Sept →
inferno	8–13	-0.02	5%	9 Sept →
dust2	16–12	-0.01	10%	9 Sept →
nuke	8–13	-0.06	4%	9 Sept →
nuke	13–11	0.11	7%	9 Sept →
ancient	13–6	0.01	7%	9 Sept →
mirage	8–13	-0.02	13%	9 Sept →
nuke	6–9	0.00	14%	9 Sept →
dust2	13–9	-0.03	20%	8 Sept →
nuke	11–13	-0.04	7%	8 Sept →
mirage	16–13	-0.02	16%	6 Sept →
nuke	13–7	0.04	18%	6 Sept →
cache	10–13	-0.07	8%	3 Sept →
nuke	11–13	-0.06	14%	3 Sept →
inferno	8–13	-0.02	24%	3 Sept →
nuke	15–15	0.01	10%	3 Sept →
mirage	7–13	-0.06	12%	3 Sept →
dust2	13–5	-0.09	25%	3 Sept →
cache	8–13	-0.05	12%	3 Sept →
mirage	12–16	0.02	12%	3 Sept →
inferno	13–9	-0.05	17%	3 Sept →
inferno	13–11	-0.06	14%	3 Sept →
nuke	11–13	0.02	10%	2 Sept →
ancient	13–2	0.10	9%	2 Sept →
inferno	8–13	-0.03	7%	2 Sept →
mirage	13–3	-0.00	24%	1 Sept →
vertigo	13–4	0.04	12%	1 Sept →
inferno	5–13	-0.02	15%	31 Aug →
nuke	13–3	0.02	8%	31 Aug →
nuke	13–4	0.04	9%	31 Aug →
mirage	11–13	-0.08	10%	30 Aug →
inferno	13–9	-0.08	11%	30 Aug →
cache	11–13	-0.07	9%	30 Aug →
dust2	11–13	-0.06	13%	30 Aug →
inferno	10–13	-0.04	7%	30 Aug →
inferno	11–13	-0.07	26%	30 Aug →
vertigo	8–8	-0.05	11%	30 Aug →
ancient	11–13	-0.05	17%	30 Aug →
dust2	13–11	-0.02	11%	30 Aug →
inferno	11–13	-0.02	11%	30 Aug →
mirage	9–13	-0.07	23%	30 Aug →
nuke	13–3	0.10	20%	30 Aug →
dust2	5–13	0.04	13%	29 Aug →
anubis	13–5	0.04	18%	29 Aug →
mirage	13–9	0.08	12%	29 Aug →
ancient	3–12	-0.01	9%	29 Aug →
nuke	10–13	0.06	13%	29 Aug →
inferno	13–11	-0.04	14%	29 Aug →
inferno	9–13	-0.05	8%	29 Aug →
mirage	7–13	-0.05	7%	28 Aug →
cache	9–13	-0.01	21%	28 Aug →
ancient	11–7	0.05	15%	28 Aug →
inferno	13–7	0.07	17%	28 Aug →
nuke	13–9	-0.02	7%	28 Aug →
ancient	9–13	0.02	14%	28 Aug →
mirage	11–13	-0.04	9%	28 Aug →
inferno	13–9	-0.01	3%	28 Aug →
nuke	14–16	0.01	10%	28 Aug →
ancient	11–13	-0.01	14%	28 Aug →
mirage	7–13	0.03	11%	28 Aug →
mirage	9–13	-0.06	12%	27 Aug →
inferno	10–13	0.03	11%	27 Aug →
inferno	13–3	0.00	7%	27 Aug →
nuke	13–1	0.16	18%	27 Aug →
ancient	13–2	-0.01	11%	27 Aug →