𝖘𝖆𝖉𝖎𝖚𝖘 — CS2 Stats

76561198425591958[U:1:465326230]Steam profile ↗✓ No bans

3,457Tracked matches55%Win rate2020Tracked since

5,497Hours in CS4Hrs last 2 wks

CSDB Rating4.9 DevelopingSupport

Premier CS Rating19,177Top 50% of 185,711 CSDB-tracked playersPurple band · top ~11.8% of ranked players (population est.)

CSDB Leaderboard#87032 of 230910 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 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. 32 days played since 28 Jun 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: 19,177 -2,961 28 Jun – 15 Sept · 25 days played

Faceit ELO: 2,147 +0 29 Aug – 2 Sept · 2 observations

23,771Peak Premier in tracked matches

2,147Highest Faceit ELO seen on CSDB

32Days played since 2026-06-28

Faceit ELO

At peak — 2,147
Next: 2,500 ELO at 2,500 — 353 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-29
Level 9 first seen 2026-08-29

Premier CS Rating

4,102 below peak (23,279)
+2,399 over 30 days · improving
-2,961 over 90 days
Next: Pink band at 20,000 — 823 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-29
Blue band first seen 2026-08-29

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 Purple band among CSDB-tracked players (n=36,319), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	44.1%	44.3%	46.9%	2.8% short
Shot accuracy	14.0%	11.8%	13.0%	above
Kill/death ratio	1.14	1.03	1.08	above
Match win rate	49.0%	45.2%	46.7%	above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim48

Positioning51

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLTWLLLWWWW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −2.2pp headshot accuracy · +50ms 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

1–3–1 · 20% win rate
Avg rating -0.01
Avg headshot accuracy 19%
Avg reaction 700ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.00
Avg headshot accuracy 20%
Avg reaction 657ms

Last 20

11–8–1 · 55% win rate
Avg rating -0.00
Avg headshot accuracy 21%
Avg reaction 632ms

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).

Aim4.8

Utility6.2

Positioning5.1

Opening Duels2.4

Clutch5.0

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 70% 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

T-side openings. Opening success drops from 49% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 641ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8

Positioning5.1

Utility6.2

Mechanics3.9

Opening Duels2.4

Win Impact6.7

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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time634ms+7ms

first ⅓ avg 627ms → last ⅓ avg 634ms

Headshot accuracy20.2%−0.6%

first ⅓ avg 20.8% → last ⅓ avg 20.2%

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

0.13Best match rating · 7–13 · inferno, 16 Aug →

41%Best headshot accuracy · 13–11 · mirage, 12 Aug →

438msFastest reaction time · 8–13 · dust2, 5 Sept →

13–2Biggest win · cache, 9 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak

9–11In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 65% over 26nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	26	17–9	65%	-0.00
mirage	C	25	11–14	44%	-0.00
inferno	B	23	12–11	52%	0.01
anubis	A	11	7–4	64%	-0.01
dust2	B	6	3–3	50%	0.02
nuke	D	5	1–4	20%	-0.02
cache	—	4	2–2	50%	-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

180,617Lifetime kills

1.14K/D · Top 50% of Purple band

7,754Matches

49.0%Match win rate · Top 25% of Purple band

44.1%Headshot %

14.0%Shot accuracy · Top 50% of Purple band

29,689MVPs

3,867Hours (in match)

6,075Bombs planted

3,648Bombs defused

Most-used weapons

AK-4756,348

M4A4 / M4A1-S26,755

AWP26,714

Desert Eagle17,280

P2000 / USP-S11,618

Glock-188,014

SSG 083,817

MP93,596

Galil AR3,145

MAC-102,518

Lifetime map wins

14,594inferno

5,199dust2

3,939train

3,422nuke

2,316vertigo

1,133cbble

604lake

279office

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

Faceit stats

Combat

414Matches

57%Win rate

1.15Avg K/D

78.8ADR

44%Headshot %

Clutches & streaks

45%1v1 clutch win

28%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	113	58%	1.16	17.6
Ancient	95	58%	1.11	17.2
Inferno	52	58%	1.30	16.0
Anubis	42	62%	1.12	16.2
Dust2	12	33%	0.69	11.0
Train	9	78%	1.07	16.7
Nuke	8	38%	1.03	13.3
Overpass	6	50%	1.28	16.8

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.

20.0%Headshot accuracy

35.1%Accuracy (enemy spotted)

35.2%Spray accuracy

67.5%Counter-strafing

12.7°Preaim

641msReaction time

24.1%T opening success

49.3%CT opening success

0.51Enemies flashed / flash

8.7%Flash assists

8.00HE damage / grenade

11.98Flashes / 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 12.7262° — above the 12° mark we flag
Aim Training →

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	11–13	-0.02	34%	15 Sept →
inferno	15–15	-0.00	21%	9 Sept →
mirage	13–11	-0.00	12%	9 Sept →
inferno	9–13	0.05	18%	9 Sept →
anubis	11–13	-0.06	10%	9 Sept →
dust2	8–13	0.05	32%	5 Sept →
ancient	13–5	0.04	27%	5 Sept →
inferno	13–10	-0.01	18%	5 Sept →
ancient	13–5	-0.07	10%	2 Sept →
ancient	13–4	0.00	18%	1 Sept →
nuke	13–3	0.04	33%	1 Sept →
ancient	13–11	-0.02	7%	1 Sept →
mirage	12–16	-0.02	12%	1 Sept →
anubis	13–8	0.02	24%	31 Aug →
mirage	13–4	-0.02	7%	31 Aug →
mirage	11–13	0.01	26%	31 Aug →
anubis	13–3	0.06	13%	30 Aug →
dust2	3–13	0.00	29%	30 Aug →
mirage	13–11	0.02	33%	30 Aug →
inferno	1–3	-0.10	40%	29 Aug →
cache	16–13	-0.07	13%	29 Aug →
mirage	1–11	-0.03	30%	28 Aug →
nuke	6–13	-0.07	13%	28 Aug →
inferno	11–13	0.05	23%	28 Aug →
anubis	1–13	-0.06	26%	26 Aug →
ancient	13–5	0.07	18%	26 Aug →
inferno	13–7	0.08	21%	26 Aug →
ancient	13–11	0.01	35%	25 Aug →
anubis	13–8	-0.03	11%	25 Aug →
mirage	4–13	0.02	16%	25 Aug →
anubis	10–13	0.00	12%	25 Aug →
inferno	13–8	0.03	13%	25 Aug →
ancient	13–11	0.04	16%	25 Aug →
ancient	10–13	-0.03	11%	25 Aug →
mirage	10–13	0.00	21%	25 Aug →
mirage	13–11	0.06	24%	25 Aug →
mirage	13–7	0.02	20%	24 Aug →
inferno	13–5	-0.02	17%	24 Aug →
ancient	4–13	0.00	28%	24 Aug →
ancient	13–8	-0.02	24%	24 Aug →
inferno	13–4	-0.03	13%	23 Aug →
mirage	5–13	-0.00	26%	23 Aug →
mirage	11–13	0.02	20%	23 Aug →
mirage	13–4	0.02	22%	23 Aug →
inferno	2–11	0.00	7%	22 Aug →
ancient	9–13	-0.04	13%	21 Aug →
anubis	13–9	0.02	8%	21 Aug →
ancient	1–13	-0.06	5%	19 Aug →
inferno	9–13	-0.06	29%	19 Aug →
mirage	13–11	-0.05	17%	19 Aug →
anubis	13–7	-0.01	13%	19 Aug →
ancient	13–4	0.03	22%	19 Aug →
inferno	10–13	-0.01	21%	18 Aug →
dust2	13–4	0.07	18%	18 Aug →
inferno	1–13	-0.08	23%	18 Aug →
inferno	11–13	0.08	24%	18 Aug →
mirage	9–13	-0.00	16%	18 Aug →
anubis	13–9	-0.01	30%	18 Aug →
inferno	13–9	0.05	26%	18 Aug →
dust2	13–8	-0.05	33%	18 Aug →
mirage	2–13	0.07	22%	18 Aug →
ancient	13–6	-0.01	24%	17 Aug →
inferno	7–13	0.13	35%	16 Aug →
mirage	10–13	-0.05	19%	16 Aug →
ancient	13–10	-0.01	19%	14 Aug →
inferno	13–5	0.01	26%	14 Aug →
mirage	13–11	-0.02	41%	12 Aug →
dust2	13–7	0.04	15%	12 Aug →
ancient	13–6	0.02	17%	12 Aug →
mirage	0–4	-0.06	0%	9 Aug →
anubis	11–13	-0.02	24%	9 Aug →
cache	13–2	0.13	19%	9 Aug →
mirage	13–3	-0.03	21%	8 Aug →
ancient	8–13	-0.01	13%	8 Aug →
inferno	12–16	-0.01	10%	6 Aug →
nuke	11–13	-0.03	14%	6 Aug →
inferno	13–9	-0.03	37%	2 Aug →
mirage	13–9	0.01	36%	2 Aug →
inferno	13–11	-0.00	41%	2 Aug →
ancient	13–7	-0.07	20%	2 Aug →
dust2	8–13	-0.02	15%	31 Jul →
nuke	5–13	0.03	34%	31 Jul →
mirage	6–13	-0.04	33%	26 Jul →
ancient	13–5	-0.01	22%	26 Jul →
cache	9–13	-0.04	28%	26 Jul →
ancient	11–13	0.01	28%	26 Jul →
ancient	10–13	0.05	14%	19 Jul →
ancient	13–9	0.01	16%	5 Jul →
nuke	6–13	-0.06	13%	2 Jul →
ancient	11–13	-0.05	19%	2 Jul →
anubis	13–6	-0.03	14%	2 Jul →
ancient	13–8	-0.03	18%	2 Jul →
inferno	13–6	-0.05	9%	2 Jul →
mirage	8–13	0.01	33%	2 Jul →
mirage	13–7	0.00	23%	1 Jul →
inferno	13–6	0.05	20%	1 Jul →
ancient	15–15	0.01	13%	1 Jul →
inferno	13–5	0.03	27%	1 Jul →
mirage	9–13	-0.05	16%	28 Jun →
ancient	13–7	0.05	23%	28 Jun →