FlemLion 𝕳 — CS2 Stats

IT76561198136218760[U:1:175953032]Steam profile ↗✓ No bans

1,390Tracked matches48%Win rate2020Tracked since

4,206Hours in CS1Hrs last 2 wks

CSDB Rating5.2 DevelopingPositional Player

CSDB Leaderboard#222886 of 242686 tracked

FaceitLevel 8 · 1,749 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,749 → 1,749

+1Tracked matches · now 1,390

0.0ppWin rate · 48.3% → 48.3%

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. 59 days played since 13 Jul 2025. 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: 17,651 +1,954 13 Jul – 16 Jan · 15 days played

19,999Peak Premier in tracked matches

1,749Highest Faceit ELO seen on CSDB

59Days played since 2025-07-13

Faceit ELO

At peak — 1,749
Next: Level 9 at 1,751 — 2 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-09-10
Level 7 first seen 2026-09-10

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=14,086), 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	47.9%	46.8%	48.3%	meets
Shot accuracy	16.0%	13.0%	13.2%	above
Kill/death ratio	1.12	1.06	1.07	above
Match win rate	43.6%	46.3%	46.9%	3.3% short

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

Widest gap: Match win rate. 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

Aim69

Positioning54

Utility36

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateWLLLLWWLWT

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +2.7pp headshot accuracy · +31ms reaction

Win rate down 20pp 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

1–4 · 20% win rate
Avg rating -0.00
Avg headshot accuracy 26%
Avg reaction 580ms

Last 10

4–5–1 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 23%
Avg reaction 611ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 22%
Avg reaction 596ms

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 (+1.1 against its own average).

Aim6.9

Utility3.6

Positioning5.4

Opening Duels4.0

Clutch4.4

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 s1mple 89% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 53% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim6.9

Positioning5.4

Utility3.6

Mechanics6.7

Opening Duels3.1

Win Impact4.4

Composite 5.2/10 (Developing), 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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time598ms−47ms

first ⅓ avg 645ms → last ⅓ avg 598ms

Headshot accuracy20.5%−1.3%

first ⅓ avg 21.8% → last ⅓ avg 20.5%

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 · 13–11 · train, 12 Oct →

50%Best headshot accuracy · 13–3 · dust2, 30 Aug →

414msFastest reaction time · 13–3 · dust2, 1 Aug →

13–2Biggest win · dust2, 22 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak

6–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 71% over 7overpassWeakest map · 41% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	39	21–18	54%	0.01
overpass	C	17	7–10	41%	0.00
inferno	B	13	7–6	54%	-0.03
cache	A	9	5–4	56%	0.01
nuke	S	9	6–3	67%	0.01
anubis	S	7	5–2	71%	-0.01
ancient	—	2	1–1	50%	-0.03
train	—	2	2–0	100%	0.06
mirage	—	2	1–1	50%	-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

130,708Lifetime kills

1.12K/D · Top 50% of Level 8 players

5,360Matches

43.6%Match win rate

47.9%Headshot % · Top 50% of Level 8 players

16.0%Shot accuracy · Top 25% of Level 8 players

12,277MVPs

2,575Hours (in match)

5,179Bombs planted

1,410Bombs defused

Most-used weapons

AK-4748,272

M4A4 / M4A1-S16,530

AWP13,560

P2000 / USP-S5,778

Glock-185,120

Desert Eagle4,809

SG 5534,507

AUG3,710

P903,126

FAMAS2,467

Lifetime map wins

18,000dust2

8,958inferno

4,432train

3,965nuke

1,782vertigo

554cbble

238office

95lake

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

Faceit stats

Combat

1,861Matches

50%Win rate

1.00Avg K/D

81.3ADR

41%Headshot %

Clutches & streaks

42%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	183	54%	1.09	16.4
Anubis	145	54%	1.09	16.6
Inferno	97	53%	1.04	15.3
Nuke	72	40%	0.98	15.4
Mirage	38	42%	1.00	15.8
Vertigo	26	35%	1.03	15.5
Train	26	58%	1.02	16.1
Overpass	16	56%	1.11	15.6

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.

21.0%Headshot accuracy

31.6%Accuracy (enemy spotted)

38.2%Spray accuracy

80.4%Counter-strafing

10.1°Preaim

594msReaction time

31.9%T opening success

53.0%CT opening success

0.39Enemies flashed / flash

3.8%Flash assists

8.98HE damage / grenade

4.69Flashes / 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 0.3909 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 31.8578% — below the 40% mark we flag

Spend your practice time on Overpass

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	0.07	25%	31 Aug →
cache	10–13	-0.05	29%	31 Aug →
nuke	6–13	-0.02	23%	30 Aug →
dust2	12–16	0.01	31%	27 Aug →
anubis	10–13	-0.02	22%	26 Aug →
dust2	13–3	0.05	14%	26 Aug →
dust2	13–8	0.03	29%	26 Aug →
cache	10–13	0.01	18%	26 Aug →
cache	8–5	-0.04	22%	26 Aug →
dust2	12–12	0.03	19%	16 Aug →
dust2	11–13	-0.03	10%	13 Aug →
nuke	13–10	-0.03	21%	12 Aug →
anubis	13–11	0.06	16%	12 Aug →
dust2	5–13	-0.06	25%	8 Aug →
cache	6–13	-0.01	21%	7 Aug →
anubis	14–16	0.03	21%	1 Aug →
cache	13–4	0.10	26%	1 Aug →
dust2	13–3	0.00	30%	1 Aug →
cache	16–13	-0.01	19%	29 Jul →
cache	13–9	0.03	17%	28 Jul →
anubis	13–4	-0.04	24%	27 Jul →
anubis	13–11	-0.01	17%	27 Jul →
anubis	13–6	-0.02	15%	27 Jul →
inferno	10–13	-0.05	23%	26 Jul →
inferno	10–13	-0.02	20%	26 Jul →
cache	3–13	0.00	26%	7 Jul →
inferno	3–13	-0.00	14%	6 Jul →
inferno	8–13	-0.04	12%	5 Jul →
dust2	14–16	-0.02	28%	2 Jul →
nuke	13–10	0.05	18%	2 Jul →
cache	13–6	0.03	15%	1 Jul →
dust2	13–8	-0.00	6%	23 Mar →
overpass	13–5	-0.06	24%	26 Jan →
inferno	13–4	-0.05	33%	22 Jan →
inferno	13–6	-0.03	35%	22 Jan →
dust2	13–6	0.04	32%	20 Jan →
dust2	13–10	0.07	19%	20 Jan →
overpass	5–13	0.01	20%	16 Jan →
overpass	2–11	-0.07	7%	16 Jan →
dust2	7–13	-0.04	12%	16 Jan →
ancient	14–16	-0.07	21%	15 Jan →
dust2	16–13	-0.01	21%	15 Jan →
inferno	0–9	-0.22	0%	8 Jan →
dust2	13–10	-0.01	37%	6 Jan →
train	13–8	0.00	41%	5 Jan →
inferno	13–7	0.06	22%	4 Jan →
dust2	5–13	-0.09	16%	30 Dec →
overpass	8–13	0.04	23%	30 Dec →
nuke	13–9	-0.02	12%	30 Dec →
overpass	13–11	0.03	18%	18 Dec →
dust2	4–13	0.04	18%	17 Nov →
dust2	7–13	-0.01	27%	13 Nov →
mirage	10–13	-0.01	24%	5 Nov →
dust2	11–13	0.04	30%	5 Nov →
dust2	13–10	-0.00	17%	24 Oct →
dust2	13–10	0.04	20%	20 Oct →
dust2	13–3	0.04	19%	20 Oct →
dust2	13–8	0.05	28%	12 Oct →
train	13–11	0.12	18%	12 Oct →
inferno	13–3	0.02	23%	12 Oct →
dust2	10–13	-0.02	28%	12 Oct →
overpass	14–16	-0.01	18%	11 Oct →
overpass	13–6	-0.00	14%	11 Oct →
dust2	8–13	0.02	28%	11 Oct →
dust2	13–4	0.04	34%	11 Oct →
dust2	0–13	-0.09	29%	7 Oct →
overpass	5–13	-0.08	8%	1 Oct →
dust2	15–15	0.02	12%	11 Sept →
nuke	6–13	0.00	27%	30 Aug →
dust2	13–3	-0.04	50%	30 Aug →
overpass	4–13	0.03	20%	25 Aug →
inferno	13–5	-0.01	33%	25 Aug →
dust2	15–15	-0.03	21%	22 Aug →
overpass	9–13	-0.00	16%	20 Aug →
nuke	13–5	0.04	19%	19 Aug →
overpass	13–4	-0.01	26%	4 Aug →
dust2	13–8	0.05	42%	4 Aug →
inferno	16–13	-0.03	11%	3 Aug →
inferno	13–7	0.01	19%	3 Aug →
overpass	13–7	0.01	15%	2 Aug →
dust2	13–7	-0.00	32%	1 Aug →
nuke	13–4	0.01	12%	1 Aug →
overpass	3–13	-0.02	14%	1 Aug →
overpass	13–5	0.05	20%	30 Jul →
dust2	13–7	-0.02	17%	30 Jul →
dust2	13–7	0.01	23%	29 Jul →
inferno	4–13	-0.01	23%	28 Jul →
dust2	9–13	0.05	18%	26 Jul →
nuke	13–9	0.05	34%	26 Jul →
dust2	13–2	-0.01	21%	22 Jul →
nuke	2–13	-0.01	17%	22 Jul →
overpass	6–13	0.02	21%	20 Jul →
mirage	16–12	-0.03	18%	20 Jul →
dust2	12–16	-0.07	22%	16 Jul →
overpass	13–2	0.02	19%	16 Jul →
dust2	13–11	-0.01	30%	16 Jul →
overpass	12–12	0.05	17%	15 Jul →
anubis	13–11	-0.05	10%	13 Jul →
ancient	13–9	0.01	26%	13 Jul →
dust2	9–13	0.09	18%	13 Jul →