𝑭ė𝙍𝙍ọ𝙈𝙖𝙣 — CS2 Stats

BR76561198036187592[U:1:75921864]Steam profile ↗✓ No bans

1,664Tracked matches40%Win rate2020Tracked since

4,832Hours in CS

CSDB Rating5.5 SolidSupport

CSDB Leaderboard#70512 of 261709 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,023 -3,458 21 Aug – 22 Oct · 17 days played

26,276Peak Premier in tracked matches

19Days played since 2026-08-19

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 Level 4 among CSDB-tracked players (n=14,911), 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 4 median	Level 5 median	vs Level 5
Headshot rate	44.4%	42.7%	43.8%	meets
Shot accuracy	14.7%	11.2%	12.0%	above
Kill/death ratio	1.39	0.99	1.02	above
Match win rate	50.0%	43.9%	44.7%	above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim66

Positioning57

Utility63

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateLLLLLWLWWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +0.8pp headshot accuracy · −2ms 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

0–5 · 0% win rate
Avg rating 0.02
Avg headshot accuracy 17%
Avg reaction 556ms

Last 10

3–7 · 30% win rate
Avg rating 0.03
Avg headshot accuracy 19%
Avg reaction 538ms

Last 20

7–13 · 35% win rate
Avg rating 0.02
Avg headshot accuracy 19%
Avg reaction 539ms

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 (+1.3 against its own average).

Aim6.6

Utility6.3

Positioning5.7

Opening Duels3.9

Clutch4.2

Effective flashes

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 ZywOo 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 552ms 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

Aim6.6

Positioning5.7

Utility6.3

Mechanics5.9

Opening Duels4.0

Win Impact1.7

Composite 5.5/10 (Solid), 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 rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time548ms+8ms

first ⅓ avg 540ms → last ⅓ avg 548ms

Headshot accuracy18.9%−0.2%

first ⅓ avg 19.2% → last ⅓ avg 18.9%

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

0.12Best match rating · 13–0 · dust2, 18 Sept →

44%Best headshot accuracy · 13–5 · mirage, 19 Aug →

359msFastest reaction time · 3–13 · ancient, 28 Aug →

13–0Biggest win · dust2, 18 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L5Current streak

4–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 66% over 38ancientWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	38	25–13	66%	0.03
anubis	C	16	6–10	38%	-0.00
cache	C	14	6–8	43%	0.01
ancient	D	11	3–8	27%	-0.01
inferno	C	9	4–5	44%	0.01
mirage	C	9	4–5	44%	-0.00
nuke	—	2	1–1	50%	-0.03
boulder	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

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

Lifetime stats

278,563Lifetime kills

1.39K/D · Top 10% of Level 4 players

12,329Matches

50.0%Match win rate · Top 25% of Level 4 players

44.4%Headshot % · Top 50% of Level 4 players

14.7%Shot accuracy · Top 50% of Level 4 players

31,354MVPs

4,832Hours (in match)

10,368Bombs planted

3,293Bombs defused

Most-used weapons

AK-4784,911

M4A4 / M4A1-S53,806

Desert Eagle29,585

AWP27,002

P2000 / USP-S12,673

P908,394

Galil AR6,912

FAMAS6,841

P2506,062

Glock-185,330

Lifetime map wins

105,092dust2

3,790inferno

793cbble

760nuke

646train

302office

291vertigo

130aztec

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

Faceit stats

Combat

230Matches

57%Win rate

1.25Avg K/D

93.8ADR

41%Headshot %

Clutches & streaks

41%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	62	76%	1.45	19.0
Anubis	24	46%	1.20	16.4
Cache	11	36%	1.03	15.6
Inferno	6	50%	1.11	17.8
Nuke	4	50%	1.22	19.0
Ancient	4	50%	1.08	16.0
Mirage	3	67%	2.20	21.3

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.

18.9%Headshot accuracy

31.9%Accuracy (enemy spotted)

37.1%Spray accuracy

76.6%Counter-strafing

10.6°Preaim

552msReaction time

46.1%T opening success

46.1%CT opening success

0.70Enemies flashed / flash

5.4%Flash assists

10.26HE damage / grenade

5.84Flashes / match

Recommended for you

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	6–13	-0.03	5%	13 Nov →
boulder	9–13	0.05	23%	13 Nov →
cache	10–13	0.07	17%	3 Nov →
inferno	10–13	0.01	13%	22 Oct →
mirage	2–13	-0.01	26%	22 Oct →
inferno	13–6	0.05	25%	22 Oct →
nuke	6–13	-0.05	7%	22 Oct →
dust2	13–2	0.12	38%	22 Oct →
mirage	13–10	0.07	17%	22 Oct →
ancient	9–13	-0.00	22%	22 Oct →
anubis	13–1	0.03	16%	16 Oct →
mirage	13–3	0.00	36%	16 Oct →
inferno	0–4	-0.02	14%	16 Oct →
anubis	12–16	0.12	18%	16 Oct →
mirage	2–13	-0.08	7%	16 Oct →
dust2	2–13	-0.03	14%	16 Oct →
dust2	13–8	-0.04	16%	3 Oct →
anubis	11–13	0.05	22%	25 Sept →
dust2	13–8	0.09	22%	25 Sept →
cache	9–13	-0.05	17%	25 Sept →
dust2	6–13	0.03	38%	25 Sept →
cache	0–13	-0.06	0%	25 Sept →
ancient	9–13	0.01	17%	19 Sept →
dust2	13–10	-0.00	19%	19 Sept →
inferno	2–13	-0.07	4%	19 Sept →
cache	9–13	0.03	13%	19 Sept →
cache	13–6	-0.04	29%	19 Sept →
cache	13–6	0.04	26%	19 Sept →
dust2	13–1	0.08	34%	19 Sept →
dust2	13–3	0.07	10%	18 Sept →
dust2	13–0	0.12	24%	18 Sept →
ancient	13–16	0.01	17%	18 Sept →
inferno	3–13	-0.01	19%	18 Sept →
anubis	4–13	-0.07	13%	18 Sept →
dust2	13–4	-0.10	22%	9 Sept →
cache	13–5	0.06	16%	9 Sept →
dust2	6–13	0.03	13%	9 Sept →
dust2	13–7	0.07	24%	9 Sept →
dust2	13–9	0.06	14%	9 Sept →
dust2	6–13	0.02	7%	9 Sept →
ancient	13–9	-0.06	16%	9 Sept →
dust2	11–13	0.05	26%	8 Sept →
cache	13–8	0.02	24%	8 Sept →
dust2	9–13	-0.02	27%	8 Sept →
anubis	5–13	-0.08	16%	8 Sept →
dust2	13–8	-0.03	18%	5 Sept →
dust2	13–0	0.07	14%	5 Sept →
cache	11–13	0.06	31%	5 Sept →
ancient	3–13	-0.01	10%	5 Sept →
cache	3–13	-0.07	29%	5 Sept →
anubis	13–7	0.00	14%	5 Sept →
dust2	3–13	0.01	21%	5 Sept →
dust2	13–5	0.06	24%	5 Sept →
dust2	6–13	0.01	24%	5 Sept →
dust2	13–9	0.07	29%	4 Sept →
dust2	9–13	0.01	25%	4 Sept →
dust2	13–4	0.04	17%	4 Sept →
mirage	13–9	0.08	32%	4 Sept →
anubis	13–9	-0.00	11%	4 Sept →
cache	4–13	0.05	20%	4 Sept →
dust2	13–7	0.02	11%	3 Sept →
anubis	13–10	0.03	23%	3 Sept →
inferno	9–1	0.11	20%	3 Sept →
dust2	10–13	0.03	25%	3 Sept →
inferno	13–8	0.01	9%	3 Sept →
mirage	5–13	0.00	13%	3 Sept →
nuke	16–12	-0.01	18%	3 Sept →
dust2	13–4	0.03	26%	3 Sept →
dust2	12–5	-0.02	17%	30 Aug →
cache	7–13	-0.05	13%	30 Aug →
dust2	3–13	-0.01	24%	30 Aug →
anubis	5–13	-0.06	25%	29 Aug →
anubis	6–13	0.01	24%	29 Aug →
dust2	13–6	0.08	13%	29 Aug →
inferno	0–13	-0.09	33%	29 Aug →
dust2	13–9	0.05	20%	29 Aug →
anubis	12–12	-0.06	5%	29 Aug →
ancient	13–10	0.09	31%	29 Aug →
ancient	2–13	-0.05	11%	29 Aug →
dust2	13–1	-0.02	24%	29 Aug →
dust2	13–10	-0.01	13%	29 Aug →
dust2	11–13	0.00	25%	28 Aug →
inferno	13–11	0.08	18%	28 Aug →
ancient	3–13	0.00	18%	28 Aug →
mirage	5–13	-0.02	12%	28 Aug →
anubis	5–13	0.02	33%	28 Aug →
ancient	7–13	-0.05	11%	22 Aug →
mirage	15–15	-0.00	15%	22 Aug →
dust2	13–11	-0.02	18%	22 Aug →
dust2	16–12	-0.00	13%	22 Aug →
ancient	1–13	-0.01	29%	22 Aug →
dust2	13–11	0.02	13%	22 Aug →
anubis	13–8	0.01	18%	22 Aug →
dust2	7–13	0.02	8%	22 Aug →
cache	13–5	0.06	17%	21 Aug →
anubis	8–13	-0.03	13%	21 Aug →
ancient	13–11	-0.03	15%	21 Aug →
anubis	13–4	-0.01	13%	21 Aug →
cache	13–4	0.01	22%	21 Aug →
mirage	13–5	-0.06	44%	19 Aug →