FlameX™🔥 — CS2 Stats

VC76561199189193356[U:1:1228927628]Steam profile ↗✓ No bans

2,333Tracked matches46%Win rate2024Tracked since

8,690Hours in CS16Hrs last 2 wks

CSDB Rating7.6 StrongPositional Player

Premier CS Rating26,415Top 10% of 213,399 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#10583 of 260010 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 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: 26,415 +2,432 31 Aug – 4 Nov · 16 days played

28,142Peak Premier in tracked matches

30Days played since 2026-08-31

Premier CS Rating

1,727 below peak (28,142)
-1,727 over 30 days · declining
Next: Gold band at 30,000 — 3,585 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-08
Pink band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), 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	Red band median	Gold band median	vs Gold band
Headshot rate	44.5%	49.3%	50.9%	6.4% short
Shot accuracy	0.0%	13.4%	11.8%	11.8% short
Kill/death ratio	1.70	1.12	1.18	above
Match win rate	55.0%	48.5%	51.9%	above

This profile matches the typical Gold band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Gold 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

Aim93

Positioning67

Utility62

0–100 skill scores via Leetify.

Recent form

COLD51–41–8Last 10051%Win rateLWWTLLLLLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −2.6pp headshot accuracy · −182ms 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

2–2–1 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 25%
Avg reaction 405ms

Last 10

2–7–1 · 20% win rate
Avg rating 0.02
Avg headshot accuracy 29%
Avg reaction 445ms

Last 20

7–11–2 · 35% win rate
Avg rating 0.04
Avg headshot accuracy 30%
Avg reaction 536ms

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 (+0.8 against its own average).

Aim9.3

Utility6.2

Positioning6.7

Opening Duels4.8

Sharp aimerStrong 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 jL 96% playstyle similarity

Most alike: aim profile, 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 93 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim9.3

Positioning6.7

Utility6.2

Mechanics7.9

Opening Duels5.9

Win Impact3.8

Composite 7.6/10 (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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time552ms+4ms

first ⅓ avg 548ms → last ⅓ avg 552ms

Headshot accuracy25.9%−7.7%

first ⅓ avg 33.6% → last ⅓ avg 25.9%

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

0.28Best match rating · 9–1 · inferno, 11 Oct →

100%Best headshot accuracy · 2–0 · anubis, 16 Sept →

391msFastest reaction time · 8–13 · inferno, 30 Oct →

13–0Biggest win · cache, 7 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

10–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

mirageBest map · 73% over 11infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	19	10–9	53%	0.04
cache	C	12	5–7	42%	0.05
inferno	D	11	3–8	27%	0.02
mirage	S	11	8–3	73%	0.02
rush_001	B	10	5–5	50%	0.04
ancient	D	9	3–6	33%	0.01
anubis	C	8	3–5	38%	0.01
vertigo	—	4	3–1	75%	0.10
nuke	—	4	3–1	75%	0.04
overpass	—	4	3–1	75%	-0.00
office	—	3	2–1	67%	0.05
train	—	3	1–2	33%	0.03
boulder	—	2	2–0	100%	0.03

Across the last 100 tracked matches.

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

Lifetime stats

58,594Lifetime kills

1.70K/D · Top 5% of Red band

2,552Matches

55.0%Match win rate · Top 25% of Red band

44.5%Headshot %

0.0%Shot accuracy

7,653MVPs

976Hours (in match)

3,530Bombs planted

768Bombs defused

Most-used weapons

AK-4714,732

AWP9,579

Desert Eagle8,218

M4A4 / M4A1-S6,765

P2000 / USP-S2,823

SSG 082,216

Glock-181,236

P250862

Galil AR802

Tec-9749

Lifetime map wins

7,911dust2

4,994inferno

2,104nuke

1,430vertigo

1,189train

382office

184italy

100aztec

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

28.4%Headshot accuracy

35.8%Accuracy (enemy spotted)

37.7%Spray accuracy

85.4%Counter-strafing

6.3°Preaim

541msReaction time

48.0%T opening success

59.0%CT opening success

0.66Enemies flashed / flash

3.9%Flash assists

6.46HE damage / grenade

17.58Flashes / 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.

27% win rate across 11 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
anubis	2–13	-0.04	23%	4 Nov →
dust2	13–9	0.06	25%	4 Nov →
dust2	13–10	0.04	39%	3 Nov →
anubis	15–15	-0.01	36%	3 Nov →
anubis	4–9	0.00	0%	2 Nov →
inferno	3–13	0.02	40%	2 Nov →
cache	7–13	0.02	30%	2 Nov →
dust2	5–13	-0.01	33%	2 Nov →
dust2	6–13	0.04	28%	2 Nov →
inferno	8–13	0.06	31%	30 Oct →
ancient	6–13	0.07	13%	25 Oct →
mirage	4–13	0.01	44%	24 Oct →
dust2	12–12	0.01	33%	24 Oct →
dust2	13–7	0.08	22%	24 Oct →
ancient	8–13	-0.03	36%	23 Oct →
anubis	13–4	0.02	17%	21 Oct →
mirage	13–7	0.10	32%	18 Oct →
inferno	7–9	0.02	64%	18 Oct →
vertigo	9–0	0.26	29%	18 Oct →
anubis	13–8	-0.02	21%	14 Oct →
nuke	13–4	0.10	27%	14 Oct →
inferno	13–6	-0.05	5%	14 Oct →
mirage	13–2	0.17	23%	14 Oct →
rush_001	2–6	-0.26	0%	14 Oct →
ancient	3–13	-0.07	17%	12 Oct →
dust2	8–13	0.05	34%	12 Oct →
inferno	9–1	0.28	17%	11 Oct →
inferno	4–9	-0.09	24%	11 Oct →
inferno	3–9	-0.22	0%	11 Oct →
mirage	13–9	0.03	23%	11 Oct →
office	13–7	0.01	14%	10 Oct →
rush_001	5–1	0.04	25%	8 Oct →
rush_001	4–8	0.04	50%	8 Oct →
rush_001	8–6	0.09	32%	8 Oct →
rush_001	3–7	-0.03	27%	8 Oct →
rush_001	7–8	0.01	14%	8 Oct →
rush_001	7–8	0.04	20%	8 Oct →
mirage	13–6	-0.00	13%	8 Oct →
train	6–13	-0.04	29%	7 Oct →
train	5–13	0.09	24%	7 Oct →
cache	8–13	0.12	56%	7 Oct →
cache	13–0	0.08	50%	7 Oct →
cache	10–13	0.06	43%	7 Oct →
cache	13–7	0.07	37%	7 Oct →
ancient	13–11	0.02	26%	5 Oct →
vertigo	6–13	0.15	21%	5 Oct →
ancient	0–2	-0.06	50%	5 Oct →
cache	8–13	0.06	28%	4 Oct →
mirage	13–10	0.04	47%	4 Oct →
nuke	13–11	0.01	42%	4 Oct →
overpass	13–4	-0.07	14%	4 Oct →
vertigo	13–7	0.01	15%	4 Oct →
cache	13–7	0.06	31%	4 Oct →
inferno	6–13	0.02	46%	3 Oct →
ancient	13–10	0.10	35%	3 Oct →
nuke	13–11	0.02	25%	3 Oct →
dust2	13–11	0.01	37%	3 Oct →
dust2	13–5	0.02	13%	2 Oct →
rush_001	8–7	0.09	30%	1 Oct →
mirage	13–11	-0.04	45%	1 Oct →
cache	12–12	-0.00	21%	1 Oct →
anubis	7–13	-0.04	29%	30 Sept →
mirage	13–5	0.00	41%	29 Sept →
dust2	12–12	0.06	32%	29 Sept →
overpass	13–10	0.04	20%	29 Sept →
cache	9–13	0.03	32%	29 Sept →
rush_001	8–6	0.15	50%	29 Sept →
rush_001	8–4	0.18	46%	29 Sept →
ancient	11–13	-0.02	29%	28 Sept →
dust2	12–12	0.12	33%	28 Sept →
cache	6–0	0.04	23%	27 Sept →
mirage	1–13	-0.01	90%	27 Sept →
inferno	12–12	0.05	26%	27 Sept →
nuke	4–13	0.04	33%	27 Sept →
dust2	10–13	-0.02	30%	23 Sept →
inferno	13–4	0.07	29%	23 Sept →
train	13–1	0.05	24%	23 Sept →
vertigo	11–7	-0.00	0%	23 Sept →
dust2	13–11	0.02	18%	23 Sept →
inferno	5–13	0.05	10%	23 Sept →
cache	4–13	0.08	25%	23 Sept →
dust2	13–10	0.11	40%	22 Sept →
ancient	13–9	0.05	18%	22 Sept →
dust2	13–5	0.04	42%	20 Sept →
boulder	13–5	0.05	23%	20 Sept →
boulder	13–9	0.01	24%	19 Sept →
office	13–8	0.10	40%	19 Sept →
overpass	13–8	0.03	29%	19 Sept →
office	10–8	0.04	26%	19 Sept →
overpass	12–12	-0.01	27%	19 Sept →
mirage	0–13	-0.07	71%	16 Sept →
dust2	16–13	0.01	60%	16 Sept →
ancient	5–13	0.04	26%	16 Sept →
mirage	13–8	-0.05	31%	16 Sept →
dust2	2–13	-0.07	42%	16 Sept →
dust2	13–8	0.06	33%	16 Sept →
cache	13–4	0.05	26%	16 Sept →
anubis	2–0	0.18	100%	16 Sept →
dust2	12–12	0.05	26%	15 Sept →
anubis	6–13	0.02	10%	15 Sept →