Stev1eH — CS2 Stats

JP76561198194240005[U:1:233974277]Steam profile ↗✓ No bans

2,244Tracked matches70%Win rate2020Tracked since

8,712Hours in CS15Hrs last 2 wks

CSDB Rating7.3 StrongSupport

Premier CS Rating26,791Top 5% of 212,910 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#7560 of 259688 tracked

FaceitLevel 10 · 2,024 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (yesterday). 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: 26,791 +2,137 28 Jul – 2 Nov · 25 days played

Faceit ELO: 2,024 +0 27 Aug – 23 Sept · 4 observations

27,029Peak Premier in tracked matches

2,024Highest Faceit ELO seen on CSDB

37Days played since 2026-07-23

Faceit ELO

At peak — 2,024
0 over 30 days · steady
Next: 2,500 ELO at 2,500 — 476 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-28
Level 9 first seen 2026-08-28

Premier CS Rating

At peak — 26,791
+801 over 90 days
Next: Gold band at 30,000 — 3,209 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-28
Pink band first seen 2026-08-28

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate	43.7%	50.9%
Shot accuracy	13.3%	13.7%
Kill/death ratio	1.17	1.09
Match win rate	45.5%	48.4%

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Performance scores

Aim79

Positioning54

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateLWWWLLWWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.7pp headshot accuracy · +51ms 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 -0.02
Avg headshot accuracy 18%
Avg reaction 539ms

Last 10

6–4 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 15%
Avg reaction 539ms

Last 20

13–7 · 65% win rate
Avg rating -0.01
Avg headshot accuracy 14%
Avg reaction 514ms

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 (+1.9 against its own average).

Aim7.9

Utility6.0

Positioning5.4

Opening Duels3.2

Clutch1.8

Strong CT-side opener

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 94% 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 →

CSDB Rating breakdown

Aim7.9

Positioning5.4

Utility6.0

Mechanics7.6

Opening Duels4.2

Win Impact10.0

Composite 7.3/10 (Strong), 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-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time525ms−13ms

first ⅓ avg 538ms → last ⅓ avg 525ms

Headshot accuracy16.1%−0.9%

first ⅓ avg 17.0% → last ⅓ avg 16.1%

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 · 13–10 · ancient, 13 Sept →

39%Best headshot accuracy · 4–13 · mirage, 8 Sept →

297msFastest reaction time · 13–0 · inferno, 11 Aug →

13–0Biggest win · cache, 10 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak

6–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 75% over 24anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	26	12–14	46%	0.01
cache	S	24	18–6	75%	0.01
dust2	A	19	12–7	63%	-0.02
anubis	D	11	3–8	27%	-0.01
ancient	B	6	3–3	50%	0.00
mirage	B	6	3–3	50%	-0.02
nuke	—	3	3–0	100%	-0.00
overpass	—	1	1–0	100%	-0.01
train	—	1	1–0	100%	-0.01
vertigo	—	1	1–0	100%	-0.00
eldorado	—	1	1–0	100%	-0.00
debris	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

239,149Lifetime kills

1.17K/D · Top 50% of Level 10 players

17,521Matches

45.5%Match win rate

43.7%Headshot %

13.3%Shot accuracy

43,098MVPs

4,364Hours (in match)

20,725Bombs planted

5,774Bombs defused

Most-used weapons

AK-4781,851

M4A4 / M4A1-S47,719

AWP25,039

P2000 / USP-S14,246

Glock-189,290

Desert Eagle8,079

P2507,025

Knife4,461

Five-SeveN3,644

UMP-453,559

Lifetime map wins

14,430cbble

14,091inferno

13,425dust2

4,993train

2,548nuke

2,054vertigo

331lake

309shorttrain

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

Faceit stats

Combat

1,122Matches

53%Win rate

1.14Avg K/D

73.0ADR

42%Headshot %

Clutches & streaks

29%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	135	56%	1.09	15.4
Dust2	118	47%	0.98	14.3
Anubis	87	52%	0.96	15.2
Ancient	30	43%	0.90	13.2
Cache	27	70%	1.11	15.6
Train	23	57%	1.06	15.1
Mirage	22	59%	1.10	14.1
Nuke	21	52%	0.91	13.9

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.

16.1%Headshot accuracy

34.2%Accuracy (enemy spotted)

41.5%Spray accuracy

84.2%Counter-strafing

9.1°Preaim

528msReaction time

42.9%T opening success

50.6%CT opening success

0.49Enemies flashed / flash

7.9%Flash assists

7.69HE damage / grenade

9.46Flashes / 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.

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 0.4864 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	11–13	-0.04	19%	2 Nov →
cache	13–8	-0.01	13%	2 Nov →
ancient	13–8	-0.01	16%	29 Oct →
dust2	13–7	-0.00	30%	29 Oct →
mirage	8–13	-0.03	11%	29 Oct →
dust2	6–13	-0.05	17%	29 Oct →
anubis	13–9	0.04	9%	28 Oct →
mirage	13–1	-0.04	8%	25 Oct →
cache	13–10	-0.01	7%	25 Oct →
inferno	5–13	0.02	22%	25 Oct →
dust2	13–9	-0.02	11%	25 Oct →
anubis	1–13	-0.07	7%	24 Oct →
dust2	13–8	-0.04	15%	24 Oct →
cache	3–13	-0.08	3%	24 Oct →
cache	13–5	0.05	24%	24 Oct →
anubis	3–13	-0.03	17%	24 Oct →
cache	5–0	0.07	17%	24 Oct →
cache	13–6	0.02	14%	24 Oct →
nuke	13–2	0.03	10%	14 Oct →
dust2	13–6	-0.00	17%	14 Oct →
cache	13–6	0.03	13%	14 Oct →
ancient	5–13	-0.03	38%	14 Oct →
mirage	6–13	0.01	28%	14 Oct →
cache	13–4	-0.01	11%	11 Oct →
inferno	13–3	0.07	12%	11 Oct →
inferno	13–2	0.06	9%	10 Oct →
inferno	5–0	0.01	33%	10 Oct →
cache	13–0	-0.06	11%	10 Oct →
overpass	13–6	-0.01	33%	10 Oct →
nuke	13–1	0.01	14%	10 Oct →
train	13–6	-0.01	13%	10 Oct →
mirage	13–3	0.00	25%	10 Oct →
ancient	13–9	-0.05	5%	10 Oct →
dust2	13–6	-0.00	26%	10 Oct →
cache	12–12	-0.02	17%	28 Sept →
vertigo	13–1	-0.00	23%	24 Sept →
dust2	7–13	-0.04	20%	24 Sept →
mirage	13–7	-0.02	5%	24 Sept →
cache	13–10	-0.00	32%	22 Sept →
inferno	9–13	0.02	13%	20 Sept →
nuke	12–7	-0.05	10%	20 Sept →
inferno	13–2	-0.02	19%	19 Sept →
anubis	7–13	-0.05	16%	17 Sept →
dust2	8–13	-0.04	32%	17 Sept →
inferno	13–4	0.08	20%	17 Sept →
inferno	10–13	-0.04	11%	15 Sept →
inferno	4–13	-0.04	29%	15 Sept →
cache	13–8	0.06	35%	13 Sept →
cache	13–8	0.06	24%	13 Sept →
ancient	13–10	0.12	35%	13 Sept →
anubis	13–11	0.07	20%	13 Sept →
inferno	15–15	0.01	13%	10 Sept →
dust2	13–16	-0.03	12%	8 Sept →
mirage	4–13	-0.01	39%	8 Sept →
inferno	13–11	0.04	19%	7 Sept →
anubis	16–19	0.03	15%	7 Sept →
cache	13–8	0.08	27%	7 Sept →
anubis	13–10	0.01	10%	1 Sept →
dust2	13–7	0.02	25%	1 Sept →
inferno	13–5	0.07	34%	1 Sept →
dust2	13–4	0.02	24%	30 Aug →
cache	10–13	0.01	15%	30 Aug →
cache	4–13	-0.04	31%	30 Aug →
inferno	2–9	-0.15	15%	21 Aug →
eldorado	9–7	-0.00	29%	21 Aug →
debris	5–9	-0.03	16%	21 Aug →
ancient	11–13	-0.01	9%	15 Aug →
inferno	13–11	-0.02	18%	15 Aug →
anubis	25–28	0.03	18%	15 Aug →
inferno	11–13	-0.02	17%	15 Aug →
inferno	9–13	0.02	25%	13 Aug →
ancient	11–13	-0.01	11%	13 Aug →
dust2	4–13	-0.03	16%	11 Aug →
inferno	13–0	0.00	0%	11 Aug →
inferno	9–13	0.01	16%	11 Aug →
anubis	11–13	-0.04	14%	10 Aug →
inferno	11–13	-0.02	20%	9 Aug →
inferno	11–13	-0.03	15%	7 Aug →
dust2	13–8	-0.05	15%	7 Aug →
cache	13–11	-0.05	11%	7 Aug →
cache	12–16	-0.05	15%	4 Aug →
cache	13–6	-0.01	26%	3 Aug →
cache	16–12	0.08	16%	2 Aug →
anubis	15–15	0.00	10%	2 Aug →
dust2	13–5	-0.00	17%	2 Aug →
dust2	6–13	-0.05	27%	31 Jul →
inferno	13–11	0.01	12%	30 Jul →
cache	13–10	0.00	23%	30 Jul →
anubis	9–13	-0.07	13%	30 Jul →
dust2	11–4	-0.03	12%	29 Jul →
inferno	10–13	0.06	15%	29 Jul →
inferno	9–13	-0.01	30%	29 Jul →
dust2	8–13	-0.01	17%	29 Jul →
inferno	13–10	0.04	20%	29 Jul →
dust2	13–8	0.02	19%	28 Jul →
cache	13–2	0.07	21%	28 Jul →
dust2	13–6	-0.03	14%	28 Jul →
inferno	10–13	-0.01	34%	25 Jul →
inferno	16–12	0.03	13%	25 Jul →
cache	13–4	-0.02	11%	23 Jul →