🏎️Pit Stop🏎 — CS2 Stats

FR76561198991351171[U:1:1031085443]Steam profile ↗✓ No bans

2,228Tracked matches60%Win rate2020Tracked since

2,889Hours in CS18Hrs last 2 wks

CSDB Rating6.6 SolidSupport

CSDB Leaderboard#235669 of 261598 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

+122Tracked matches · now 2,228

+20.0ppWin rate · 40.0% → 60.0%

Rating over time

1,964Highest Faceit ELO seen on CSDB

50Days played since 2026-06-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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 8 among CSDB-tracked players (n=15,525), 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 8 median	Level 9 median	vs Level 9
Headshot rate	46.4%	46.8%	48.2%	1.8% short
Shot accuracy	15.6%	13.0%	13.2%	above
Kill/death ratio	0.81	1.06	1.07	0.26 short
Match win rate	46.9%	46.3%	46.9%	meets

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim77

Positioning54

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateLLWLWWWWLL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · +5.4pp headshot accuracy · −73ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.05
Avg headshot accuracy 23%
Avg reaction 589ms

Last 10

5–5 · 50% win rate
Avg rating -0.04
Avg headshot accuracy 20%
Avg reaction 581ms

Last 20

13–7 · 65% win rate
Avg rating -0.02
Avg headshot accuracy 17%
Avg reaction 618ms

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 (+2.3 against its own average).

Aim7.7

Utility6.1

Positioning5.4

Opening Duels0.7

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 sh1ro 82% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 595ms 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

Aim7.7

Positioning5.4

Utility6.1

Mechanics8.3

Opening Duels2.4

Win Impact8.3

Composite 6.6/10 (Solid), 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-0.02+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time593ms−50ms

first ⅓ avg 643ms → last ⅓ avg 593ms

Headshot accuracy17.8%−2.5%

first ⅓ avg 20.2% → last ⅓ avg 17.8%

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

0.23Best match rating · 13–0 · ancient, 20 Oct →

56%Best headshot accuracy · 13–2 · nuke, 28 Sept →

375msFastest reaction time · 8–13 · inferno, 19 Sept →

13–0Biggest win · ancient, 20 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L2Current streak

9–5In matches decided by ≤2 rounds

21Overtime games

Map breakdown

infernoBest map · 70% over 30cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	30	21–9	70%	-0.01
ancient	B	24	13–11	54%	-0.02
nuke	A	19	11–8	58%	-0.05
dust2	B	12	6–6	50%	-0.02
mirage	C	5	2–3	40%	-0.03
vertigo	C	5	2–3	40%	-0.05
cache	D	5	1–4	20%	-0.03

Across the last 100 tracked matches.

Lifetime stats

72,862Lifetime kills

0.81K/D

3,698Matches

46.9%Match win rate · Top 50% of Level 8 players

46.4%Headshot %

15.6%Shot accuracy · Top 50% of Level 8 players

11,666MVPs

1,906Hours (in match)

3,665Bombs planted

2,346Bombs defused

Most-used weapons

AK-4722,751

M4A4 / M4A1-S12,929

AWP7,862

P2000 / USP-S4,608

Desert Eagle4,546

Glock-183,890

Galil AR2,119

FAMAS2,022

Knife1,912

SSG 081,683

Lifetime map wins

11,779inferno

7,049dust2

6,850vertigo

4,838nuke

732train

135cbble

100lake

98office

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

Faceit stats

Combat

2,014Matches

51%Win rate

0.88Avg K/D

67.9ADR

45%Headshot %

Clutches & streaks

35%1v1 clutch win

17%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	187	59%	0.92	13.1
Ancient	128	51%	0.90	13.1
Nuke	115	50%	0.76	12.0
Dust2	108	44%	0.87	13.6
Mirage	82	37%	0.94	14.0
Vertigo	72	68%	0.89	13.4
Anubis	18	39%	0.91	14.5
Train	14	64%	1.00	14.6

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.

17.8%Headshot accuracy

36.1%Accuracy (enemy spotted)

40.1%Spray accuracy

87.3%Counter-strafing

9.9°Preaim

595msReaction time

40.5%T opening success

38.8%CT opening success

0.70Enemies flashed / flash

10.1%Flash assists

9.47HE damage / grenade

6.97Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.8179% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	16–19	-0.05	23%	7 Nov →
vertigo	4–13	-0.10	23%	7 Nov →
nuke	13–8	-0.05	32%	7 Nov →
cache	10–13	-0.05	18%	7 Nov →
inferno	13–7	-0.01	19%	6 Nov →
ancient	13–11	-0.08	15%	5 Nov →
inferno	13–10	-0.05	25%	1 Nov →
inferno	13–7	0.04	20%	29 Oct →
ancient	11–13	-0.00	10%	27 Oct →
inferno	11–13	-0.01	17%	26 Oct →
mirage	13–2	0.04	15%	26 Oct →
dust2	10–13	-0.07	6%	24 Oct →
nuke	13–8	-0.06	14%	24 Oct →
ancient	16–14	0.01	16%	23 Oct →
nuke	12–16	-0.09	14%	23 Oct →
ancient	13–10	-0.04	14%	23 Oct →
mirage	13–9	-0.04	7%	22 Oct →
vertigo	13–9	-0.02	11%	22 Oct →
dust2	13–6	0.04	37%	21 Oct →
ancient	13–0	0.23	13%	20 Oct →
ancient	10–13	-0.06	19%	16 Oct →
inferno	19–16	-0.11	7%	15 Oct →
nuke	6–13	-0.09	20%	15 Oct →
ancient	9–13	-0.04	13%	13 Oct →
inferno	10–13	0.06	20%	13 Oct →
dust2	9–13	-0.02	23%	12 Oct →
inferno	13–7	0.01	29%	12 Oct →
ancient	16–12	-0.02	20%	12 Oct →
nuke	13–4	-0.02	19%	11 Oct →
inferno	16–13	0.03	22%	11 Oct →
inferno	13–9	-0.02	19%	11 Oct →
nuke	13–8	-0.06	11%	10 Oct →
cache	4–13	-0.06	15%	10 Oct →
inferno	16–14	-0.01	27%	10 Oct →
dust2	13–11	-0.00	8%	10 Oct →
dust2	13–16	-0.04	23%	9 Oct →
ancient	13–4	-0.06	32%	9 Oct →
ancient	13–9	0.02	24%	9 Oct →
dust2	6–13	-0.05	24%	9 Oct →
vertigo	13–9	-0.03	22%	8 Oct →
inferno	13–8	-0.07	17%	8 Oct →
inferno	13–4	0.06	38%	7 Oct →
inferno	9–13	-0.02	21%	7 Oct →
inferno	13–10	0.02	26%	7 Oct →
dust2	11–13	-0.08	11%	7 Oct →
ancient	19–16	-0.03	24%	5 Oct →
inferno	13–10	0.02	22%	5 Oct →
inferno	10–13	-0.05	16%	28 Sept →
nuke	13–2	-0.08	56%	28 Sept →
ancient	10–13	-0.05	19%	25 Sept →
inferno	13–11	-0.04	22%	23 Sept →
mirage	5–13	-0.07	27%	22 Sept →
nuke	13–5	0.05	19%	21 Sept →
dust2	16–14	-0.02	18%	21 Sept →
inferno	8–13	-0.06	23%	19 Sept →
ancient	13–7	-0.02	19%	19 Sept →
inferno	16–13	-0.01	22%	19 Sept →
inferno	13–9	-0.07	23%	18 Sept →
ancient	5–13	-0.01	14%	17 Sept →
ancient	6–13	-0.04	20%	15 Sept →
dust2	7–13	-0.04	26%	15 Sept →
inferno	13–3	0.10	10%	10 Sept →
cache	4–13	-0.08	21%	10 Sept →
nuke	11–13	-0.04	30%	8 Sept →
vertigo	19–22	-0.03	18%	2 Sept →
inferno	7–13	-0.03	33%	1 Sept →
nuke	19–16	-0.05	15%	1 Sept →
inferno	7–13	0.01	22%	1 Sept →
inferno	9–13	0.01	25%	23 Aug →
dust2	19–16	0.00	24%	22 Aug →
ancient	4–13	-0.01	26%	22 Aug →
ancient	13–9	-0.04	28%	22 Aug →
nuke	5–13	-0.04	15%	21 Aug →
vertigo	5–13	-0.09	26%	21 Aug →
mirage	4–13	-0.05	20%	21 Aug →
nuke	16–13	-0.04	11%	20 Aug →
inferno	13–8	-0.05	21%	20 Aug →
cache	13–1	0.04	19%	20 Aug →
cache	8–13	-0.01	29%	20 Aug →
ancient	1–13	-0.06	24%	19 Aug →
ancient	16–13	-0.04	19%	18 Aug →
nuke	8–13	-0.01	19%	3 Jul →
ancient	13–16	-0.08	19%	11 Jun →
inferno	13–8	0.02	17%	10 Jun →
nuke	19–17	-0.02	16%	9 Jun →
inferno	4–13	-0.04	29%	6 Jun →
ancient	11–13	-0.05	19%	5 Jun →
inferno	13–2	0.01	19%	5 Jun →
nuke	25–23	-0.02	28%	5 Jun →
nuke	12–16	-0.05	19%	3 Jun →
inferno	13–8	-0.06	27%	2 Jun →
nuke	13–8	-0.09	13%	2 Jun →
ancient	10–13	-0.05	7%	2 Jun →
inferno	13–4	0.02	13%	2 Jun →
ancient	16–13	0.00	18%	2 Jun →
dust2	13–11	-0.02	19%	1 Jun →
nuke	9–13	-0.09	14%	1 Jun →
ancient	13–8	0.06	23%	1 Jun →
dust2	13–10	0.02	20%	1 Jun →
nuke	4–13	-0.02	18%	1 Jun →