𝙊𝙯𝙚𝙢𝙋𝙀𝙀𝙆 — CS2 Stats

IM76561199647235263[U:1:1686969535]Steam profile ↗✓ No bans

628Tracked matches33%Win rate2024Tracked since

1,212Hours in CS1Hrs last 2 wks

CSDB Rating5.9 SolidSupport

CSDB Leaderboard#16885 of 261515 tracked

FaceitLevel 8 · 1,868 ELOTop 31.2% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 25,603 +74 12 Jul – 16 Oct · 42 days played

Faceit ELO: 1,868 +0 4 Sept – 7 Sept · 2 observations

26,403Peak Premier in tracked matches

1,868Highest Faceit ELO seen on CSDB

47Days played since 2026-07-12

Faceit ELO

At peak — 1,868
Next: Level 10 at 2,001 — 133 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-09-04
Level 8 first seen 2026-09-04

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 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	50.9%	46.8%	48.2%	above
Shot accuracy	0.0%	13.0%	13.2%	13.2% short
Kill/death ratio	1.21	1.06	1.07	above
Match win rate	55.5%	46.3%	46.9%	above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.

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Performance scores

Aim88

Positioning62

Utility64

0–100 skill scores via Leetify.

Recent form

COLD44–56Last 10044%Win rateLLWWLLWLLL

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · +0.1pp 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

2–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 23%
Avg reaction 477ms

Last 10

3–7 · 30% win rate
Avg rating -0.00
Avg headshot accuracy 23%
Avg reaction 493ms

Last 20

7–13 · 35% win rate
Avg rating 0.02
Avg headshot accuracy 23%
Avg reaction 518ms

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 (+1.2 against its own average).

Aim8.8

Utility6.4

Positioning6.2

Opening Duels4.6

Clutch3.6

Sharp aimer

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 Twistzz 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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

Aim8.8

Positioning6.2

Utility6.4

Mechanics5.4

Opening Duels5.6

Win Impact0.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.03

Reaction time511ms−76ms

first ⅓ avg 587ms → last ⅓ avg 511ms

Headshot accuracy21.9%−3.3%

first ⅓ avg 25.3% → last ⅓ avg 21.9%

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

0.24Best match rating · 4–0 · nuke, 19 Sept →

50%Best headshot accuracy · 4–0 · nuke, 19 Sept →

391msFastest reaction time · 3–13 · anubis, 12 Sept →

13–1Biggest win · nuke, 7 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L2Current streak

7–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 67% over 9infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	25	14–11	56%	0.04
mirage	C	19	8–11	42%	0.00
anubis	B	18	9–9	50%	0.00
ancient	D	16	4–12	25%	-0.01
inferno	D	10	2–8	20%	0.02
cache	S	9	6–3	67%	-0.00
dust2	—	3	1–2	33%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,154Lifetime kills

1.21K/D · Top 25% of Level 8 players

1,558Matches

55.5%Match win rate · Top 10% of Level 8 players

50.9%Headshot % · Top 50% of Level 8 players

0.0%Shot accuracy

5,128MVPs

633Hours (in match)

1,831Bombs planted

552Bombs defused

Most-used weapons

AK-4711,874

M4A4 / M4A1-S5,121

Desert Eagle3,863

AWP2,871

P2000 / USP-S1,875

Glock-18916

SSG 08870

Knife487

MAC-10484

P250395

Lifetime map wins

3,217nuke

1,840dust2

1,761inferno

531vertigo

433train

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

Faceit stats

Combat

537Matches

50%Win rate

1.20Avg K/D

88.9ADR

50%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	167	49%	1.22	18.2
Dust2	98	49%	1.06	16.2
Nuke	64	53%	1.36	20.1
Anubis	62	40%	1.18	19.2
Inferno	56	50%	1.11	16.8
Ancient	43	67%	1.37	18.1
Train	16	38%	1.15	19.8
Overpass	12	75%	1.27	17.6

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.

21.2%Headshot accuracy

38.6%Accuracy (enemy spotted)

42.2%Spray accuracy

74.2%Counter-strafing

7.4°Preaim

506msReaction time

59.6%T opening success

45.1%CT opening success

0.67Enemies flashed / flash

5.1%Flash assists

9.40HE damage / grenade

8.80Flashes / match

Recommended for you

Spend your practice time on Inferno

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 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	6–13	0.01	25%	11 Nov →
ancient	11–13	-0.07	18%	16 Oct →
cache	13–3	-0.06	22%	27 Sept →
cache	13–4	-0.05	23%	27 Sept →
ancient	11–13	0.09	27%	26 Sept →
nuke	7–13	-0.00	20%	25 Sept →
nuke	13–8	0.03	20%	25 Sept →
dust2	11–13	0.03	26%	25 Sept →
anubis	1–13	-0.04	27%	24 Sept →
ancient	6–13	0.02	21%	19 Sept →
nuke	12–16	0.03	16%	19 Sept →
mirage	16–14	-0.03	14%	19 Sept →
anubis	4–3	0.03	13%	19 Sept →
inferno	7–13	0.10	38%	19 Sept →
nuke	4–0	0.24	50%	19 Sept →
ancient	3–13	-0.01	13%	18 Sept →
ancient	3–13	0.03	13%	17 Sept →
mirage	6–13	0.04	26%	16 Sept →
nuke	6–13	0.00	15%	16 Sept →
nuke	8–0	0.03	31%	14 Sept →
inferno	9–13	0.07	31%	14 Sept →
nuke	13–7	0.23	21%	13 Sept →
mirage	13–11	-0.00	17%	13 Sept →
anubis	3–13	-0.05	8%	12 Sept →
inferno	11–13	0.02	17%	12 Sept →
nuke	8–13	0.03	18%	11 Sept →
mirage	13–9	-0.03	15%	11 Sept →
anubis	5–13	0.01	28%	11 Sept →
mirage	9–13	0.05	31%	10 Sept →
anubis	9–13	0.00	27%	9 Sept →
anubis	13–10	0.04	18%	9 Sept →
mirage	13–11	0.01	18%	7 Sept →
inferno	11–13	0.06	19%	7 Sept →
anubis	1–13	-0.05	16%	6 Sept →
mirage	11–13	0.06	32%	6 Sept →
mirage	8–13	-0.01	24%	6 Sept →
mirage	6–13	-0.03	19%	6 Sept →
nuke	13–3	-0.01	21%	5 Sept →
nuke	9–6	0.12	30%	5 Sept →
mirage	16–13	0.01	13%	2 Sept →
ancient	10–13	-0.06	23%	1 Sept →
cache	13–4	0.12	38%	26 Aug →
nuke	7–13	-0.03	29%	25 Aug →
ancient	2–13	0.03	20%	25 Aug →
nuke	7–13	0.01	42%	24 Aug →
mirage	13–9	-0.01	19%	24 Aug →
ancient	2–13	-0.02	28%	20 Aug →
nuke	13–6	0.08	24%	20 Aug →
inferno	2–13	-0.08	0%	19 Aug →
nuke	13–8	0.12	30%	18 Aug →
nuke	16–13	0.04	14%	18 Aug →
anubis	13–6	0.06	25%	18 Aug →
ancient	1–13	-0.09	4%	18 Aug →
nuke	13–5	-0.00	13%	17 Aug →
ancient	13–5	-0.03	15%	17 Aug →
cache	13–6	0.09	33%	17 Aug →
ancient	6–13	-0.02	18%	15 Aug →
anubis	13–11	-0.04	13%	15 Aug →
nuke	13–6	0.03	18%	14 Aug →
ancient	13–8	0.02	23%	14 Aug →
cache	13–11	-0.03	18%	13 Aug →
anubis	13–4	-0.05	35%	10 Aug →
ancient	13–8	-0.05	23%	10 Aug →
inferno	14–16	0.04	28%	9 Aug →
inferno	8–13	0.00	29%	7 Aug →
mirage	13–4	0.02	21%	7 Aug →
nuke	13–1	-0.05	38%	7 Aug →
mirage	9–13	0.01	28%	6 Aug →
mirage	2–9	-0.06	25%	6 Aug →
nuke	1–5	-0.04	17%	6 Aug →
inferno	13–3	0.01	33%	3 Aug →
ancient	7–13	0.06	32%	3 Aug →
ancient	5–13	0.01	30%	2 Aug →
anubis	7–13	0.03	26%	2 Aug →
mirage	5–13	-0.03	42%	2 Aug →
dust2	13–2	-0.01	31%	2 Aug →
cache	9–13	-0.04	28%	1 Aug →
anubis	6–13	-0.06	19%	1 Aug →
ancient	13–10	-0.02	26%	29 Jul →
anubis	13–5	0.01	12%	29 Jul →
anubis	3–13	0.01	23%	28 Jul →
mirage	2–13	0.05	15%	25 Jul →
cache	13–10	-0.06	13%	25 Jul →
mirage	13–9	0.07	41%	24 Jul →
dust2	1–13	-0.06	19%	24 Jul →
nuke	6–13	0.04	24%	24 Jul →
cache	6–13	0.02	18%	24 Jul →
nuke	7–13	-0.00	29%	23 Jul →
anubis	9–13	0.04	27%	23 Jul →
mirage	6–13	-0.07	43%	23 Jul →
nuke	7–13	0.07	22%	21 Jul →
anubis	13–7	0.12	30%	15 Jul →
cache	10–13	-0.00	23%	15 Jul →
mirage	8–13	-0.04	23%	13 Jul →
anubis	13–11	-0.01	6%	13 Jul →
nuke	3–13	-0.07	13%	13 Jul →
nuke	13–6	0.00	31%	12 Jul →
inferno	13–8	0.01	21%	12 Jul →
anubis	13–10	0.04	23%	12 Jul →
nuke	13–7	0.07	38%	12 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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