ffff — CS2 Stats

76561198191469285[U:1:231203557]✓ No bans

2,214Tracked matches48%Win rate2020Tracked since

5,885Hours in CS14Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating20,000Pink band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#5706 of 12705 tracked

FaceitLevel 8 · 1,729 ELOTop 31.2% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Rating over time

20,000Peak Premier on CSDB

1,729Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,729
Next: Level 9 at 1,751 — 22 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-08-28
Level 7 first seen 2026-08-28

Premier CS Rating

At peak — 20,000
Next: Red band at 25,000 — 5,000 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim78

Positioning54

Utility81

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLWLLTWWLWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.8

Aggression6.9

Utility8.1

Positioning5.4

Opening Duels2.5

Clutch2.6

Effective flashesHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like Twistzz 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Strengths

Utility. Utility score of 81 — grenade impact well above the norm.

Areas to improve

Reaction time. 629ms 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

Aim7.8

Positioning5.4

Utility8.1

Mechanics8.3

Opening Duels2.5

Win Impact4.4

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time641ms+23ms

first ⅓ avg 619ms → last ⅓ avg 641ms

Headshot accuracy19.6%−0.7%

first ⅓ avg 20.2% → last ⅓ avg 19.6%

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.

Highlights

0.15Best rating — inferno 13–3

13–1Biggest win — anubis

4Longest win streak

6–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 67% over 18dust2Weakest map · 25% over 16

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	18	12–6	67%	0.03
mirage	C	17	6–11	35%	0.01
dust2	D	16	4–12	25%	-0.00
cache	A	14	8–6	57%	0.02
ancient	D	13	4–9	31%	0.02
nuke	B	13	7–6	54%	0.03
anubis	A	7	4–3	57%	0.03
train	—	1	1–0	100%	0.03
vertigo	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

171,903Lifetime kills

1.04K/D

6,156Matches

43.9%Match win rate

56.2%Headshot % · Top 25% of Pink band

13.2%Shot accuracy · Top 50% of Pink band

13,730MVPs

4,539Hours (in match)

6,461Bombs planted

1,912Bombs defused

Most-used weapons

AK-4767,877

M4A4 / M4A1-S31,760

P2000 / USP-S12,784

P2509,391

Desert Eagle8,375

AWP8,086

Glock-186,300

FAMAS4,061

Galil AR4,002

MP92,372

Lifetime map wins

11,649inferno

7,701dust2

4,352nuke

2,764vertigo

2,585train

1,278cbble

46office

33lake

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

Faceit stats

Combat

1,325Matches

51%Win rate

1.13Avg K/D

81.0ADR

43%Headshot %

Clutches & streaks

33%1v1 clutch win

26%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	45	60%	1.08	15.1
Ancient	30	43%	0.98	16.7
Anubis	20	40%	0.90	14.6
Inferno	19	42%	1.00	14.9
Dust2	18	39%	1.26	18.2
Vertigo	8	38%	0.94	15.8
Nuke	7	71%	1.00	14.9
Overpass	4	0%	0.74	11.8

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.

19.9%Headshot accuracy

36.7%Accuracy (enemy spotted)

39.7%Spray accuracy

87.3%Counter-strafing

9.8°Preaim

629msReaction time

40.0%T opening success

39.7%CT opening success

0.75Enemies flashed / flash

12.6%Flash assists

14.10HE damage / grenade

16.96Flashes / 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
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 39.9543% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	8–13	0.02	22%	23 Aug →
mirage	13–11	0.02	17%	23 Aug →
mirage	10–13	0.02	15%	23 Aug →
ancient	14–16	0.05	11%	22 Aug →
anubis	15–15	0.07	24%	22 Aug →
ancient	13–8	0.05	14%	22 Aug →
inferno	13–10	-0.04	17%	22 Aug →
dust2	4–13	0.01	29%	18 Aug →
dust2	13–8	0.02	16%	18 Aug →
train	13–10	0.03	21%	17 Aug →
inferno	13–3	0.02	17%	8 Aug →
dust2	8–13	0.01	21%	8 Aug →
cache	5–13	-0.02	20%	8 Aug →
mirage	13–9	-0.04	25%	8 Aug →
anubis	13–11	-0.04	18%	8 Aug →
mirage	9–13	0.00	11%	8 Aug →
inferno	13–3	0.03	14%	8 Aug →
dust2	13–10	0.03	31%	8 Aug →
ancient	10–13	0.02	32%	8 Aug →
mirage	5–6	0.03	12%	7 Aug →
cache	13–5	0.04	18%	7 Aug →
dust2	7–13	0.00	22%	7 Aug →
mirage	6–13	0.03	19%	7 Aug →
nuke	13–5	0.03	33%	7 Aug →
dust2	9–13	0.08	27%	7 Aug →
inferno	13–10	0.03	19%	7 Aug →
mirage	6–13	-0.02	15%	5 Aug →
nuke	13–5	0.14	19%	5 Aug →
inferno	10–13	0.05	17%	5 Aug →
inferno	8–13	0.01	16%	3 Aug →
inferno	13–6	0.07	20%	3 Aug →
anubis	13–10	0.01	15%	3 Aug →
dust2	7–13	0.04	19%	1 Aug →
cache	2–0	-0.03	0%	1 Aug →
ancient	11–13	0.01	17%	1 Aug →
nuke	6–13	-0.09	20%	1 Aug →
anubis	13–4	0.04	18%	1 Aug →
inferno	13–10	0.07	21%	30 Jul →
inferno	12–1	0.00	13%	30 Jul →
nuke	13–16	-0.01	18%	30 Jul →
ancient	13–10	0.06	15%	30 Jul →
nuke	11–13	0.03	30%	30 Jul →
cache	13–9	0.12	25%	30 Jul →
cache	14–16	-0.01	13%	29 Jul →
mirage	11–13	-0.02	32%	29 Jul →
cache	10–13	-0.02	16%	29 Jul →
dust2	13–11	0.04	24%	28 Jul →
cache	10–13	-0.03	9%	28 Jul →
cache	13–9	0.06	33%	28 Jul →
nuke	7–13	-0.06	14%	28 Jul →
mirage	13–7	-0.01	16%	28 Jul →
inferno	15–15	0.05	25%	27 Jul →
dust2	13–7	-0.04	22%	27 Jul →
ancient	7–13	0.01	16%	27 Jul →
ancient	9–13	-0.04	32%	27 Jul →
nuke	13–8	0.11	18%	26 Jul →
inferno	13–5	0.04	21%	26 Jul →
inferno	13–9	-0.05	18%	26 Jul →
nuke	16–14	0.01	25%	26 Jul →
nuke	10–13	-0.01	13%	24 Jul →
ancient	3–13	0.08	23%	24 Jul →
anubis	13–1	0.10	16%	24 Jul →
ancient	9–13	0.02	14%	23 Jul →
anubis	12–12	0.04	20%	23 Jul →
ancient	13–1	0.01	4%	21 Jul →
inferno	12–12	0.00	24%	21 Jul →
cache	1–13	-0.02	18%	21 Jul →
cache	13–11	0.06	14%	19 Jul →
dust2	7–13	-0.05	13%	19 Jul →
inferno	9–13	0.01	16%	19 Jul →
dust2	11–13	0.03	21%	19 Jul →
dust2	7–13	-0.04	24%	19 Jul →
inferno	13–5	0.12	25%	19 Jul →
mirage	5–13	-0.03	8%	18 Jul →
mirage	14–16	-0.02	13%	17 Jul →
dust2	4–10	-0.02	17%	17 Jul →
ancient	13–8	-0.04	16%	17 Jul →
inferno	13–3	0.15	28%	17 Jul →
mirage	6–13	0.08	27%	17 Jul →
inferno	13–6	0.09	27%	16 Jul →
ancient	4–5	-0.05	31%	16 Jul →
dust2	6–13	-0.09	23%	15 Jul →
anubis	9–13	0.01	18%	12 Jul →
cache	12–5	0.03	26%	12 Jul →
mirage	13–3	0.03	28%	12 Jul →
inferno	9–13	-0.02	17%	12 Jul →
cache	13–5	0.01	22%	12 Jul →
nuke	11–13	0.04	22%	12 Jul →
ancient	8–13	0.08	16%	12 Jul →
nuke	13–3	0.02	16%	12 Jul →
nuke	13–4	0.09	17%	12 Jul →
cache	16–12	0.04	15%	12 Jul →
cache	7–13	0.02	25%	10 Jul →
mirage	7–13	-0.01	22%	8 Jul →
vertigo	6–13	-0.01	18%	8 Jul →
dust2	7–13	-0.07	19%	7 Jul →
mirage	13–2	0.01	29%	7 Jul →
mirage	13–6	0.04	11%	6 Jul →
mirage	5–13	0.02	17%	5 Jul →
nuke	13–9	0.03	27%	5 Jul →