creep9mm — CS2 Stats

76561198175216899[U:1:214951171]✓ No bans

3,304Tracked matches52%Win rate2020Tracked since

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating18,750Purple band · top ~13.5% of ranked players (population est.)

CSDB Leaderboard#4379 of 8374 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning61

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50–42–8Last 10050%Win rateLLLWLWWWWL

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

Player DNA

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

Aim8.6

Aggression8.6

Utility4.8

Positioning6.1

Opening Duels4.9

Clutch4.0

Sharp aimerExcellent counter-strafing

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 ropz 94% playstyle similarity

Most alike: positioning 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 86 — 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.

Reaction time. 606ms 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

Aim8.6

Positioning6.1

Utility4.8

Mechanics8.9

Opening Duels4.9

Win Impact5.6

Composite 6.9/10 (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 rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time612ms+8ms

first ⅓ avg 605ms → last ⅓ avg 612ms

Headshot accuracy24.4%+2.9%

first ⅓ avg 21.5% → last ⅓ avg 24.4%

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

0.28Best rating — train 2–0

13–1Biggest win — mirage

5Longest win streak

L3Current streak

12–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 71% over 7anubisWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	39	17–22	44%	0.03
ancient	A	18	11–7	61%	0.05
cache	A	12	7–5	58%	0.03
anubis	C	10	4–6	40%	0.04
inferno	B	8	4–4	50%	0.02
dust2	S	7	5–2	71%	0.03
nuke	—	3	1–2	33%	-0.00
train	—	2	1–1	50%	0.12
vertigo	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

585Matches

51%Win rate

1.19Avg K/D

85.0ADR

50%Headshot %

Clutches & streaks

40%1v1 clutch win

28%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	117	56%	1.21	17.9
Ancient	111	52%	1.16	17.9
Anubis	99	51%	1.24	16.7
Vertigo	50	54%	1.16	17.0
Inferno	45	40%	1.12	16.4
Overpass	16	56%	1.20	17.7
Dust2	15	40%	1.17	15.7
Nuke	15	40%	1.07	20.2

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.

24.7%Headshot accuracy

37.0%Accuracy (enemy spotted)

38.7%Spray accuracy

89.9%Counter-strafing

9.4°Preaim

606msReaction time

48.2%T opening success

51.3%CT opening success

0.47Enemies flashed / flash

7.2%Flash assists

7.27HE damage / grenade

8.35Flashes / 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 0.4673 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	0.01	12%	28 Aug →
mirage	11–13	-0.03	24%	25 Aug →
ancient	12–16	-0.03	21%	25 Aug →
ancient	13–6	0.05	31%	24 Aug →
mirage	3–10	0.04	33%	21 Aug →
cache	13–11	0.03	29%	20 Aug →
cache	13–11	0.02	19%	20 Aug →
mirage	13–9	0.09	26%	19 Aug →
mirage	13–11	0.11	24%	19 Aug →
mirage	5–13	0.08	36%	19 Aug →
ancient	13–11	0.14	29%	19 Aug →
cache	13–8	0.05	22%	18 Aug →
mirage	9–13	-0.01	33%	18 Aug →
dust2	13–10	0.01	26%	16 Aug →
ancient	13–11	0.01	22%	16 Aug →
cache	7–13	0.00	23%	15 Aug →
mirage	13–7	0.04	19%	15 Aug →
ancient	6–13	-0.04	25%	14 Aug →
nuke	13–8	-0.04	24%	14 Aug →
mirage	9–13	-0.03	25%	14 Aug →
ancient	6–6	0.01	14%	14 Aug →
mirage	13–6	0.10	25%	14 Aug →
mirage	3–13	-0.03	24%	14 Aug →
mirage	10–13	0.04	23%	12 Aug →
cache	13–8	0.14	35%	12 Aug →
mirage	13–4	0.02	22%	12 Aug →
mirage	0–13	-0.02	16%	12 Aug →
cache	8–13	0.01	17%	11 Aug →
mirage	12–12	0.03	28%	11 Aug →
dust2	3–13	-0.04	32%	10 Aug →
dust2	13–8	0.08	29%	10 Aug →
mirage	13–4	0.07	19%	9 Aug →
ancient	13–3	0.10	18%	9 Aug →
ancient	13–11	0.09	14%	9 Aug →
train	5–13	-0.04	21%	9 Aug →
train	2–0	0.28	60%	9 Aug →
mirage	15–15	0.05	23%	8 Aug →
anubis	13–8	0.10	22%	8 Aug →
anubis	10–13	0.09	21%	8 Aug →
cache	15–15	-0.05	27%	7 Aug →
inferno	13–11	0.00	24%	7 Aug →
dust2	13–6	-0.00	15%	7 Aug →
anubis	16–12	-0.01	12%	7 Aug →
ancient	13–3	0.10	20%	7 Aug →
ancient	15–15	-0.00	19%	6 Aug →
anubis	10–13	0.05	23%	6 Aug →
mirage	13–4	0.09	20%	6 Aug →
ancient	13–6	0.06	22%	6 Aug →
mirage	13–1	0.04	14%	6 Aug →
ancient	13–5	0.01	24%	6 Aug →
mirage	3–12	0.00	24%	5 Aug →
inferno	13–7	0.06	40%	5 Aug →
cache	7–13	0.00	18%	5 Aug →
anubis	13–10	0.09	25%	4 Aug →
inferno	10–13	-0.01	24%	4 Aug →
ancient	13–3	0.09	19%	4 Aug →
mirage	13–4	0.06	17%	4 Aug →
anubis	7–13	-0.01	13%	4 Aug →
vertigo	12–12	-0.02	33%	3 Aug →
mirage	4–13	-0.00	17%	3 Aug →
mirage	13–11	0.03	14%	3 Aug →
mirage	7–13	0.03	17%	3 Aug →
dust2	6–13	0.01	25%	3 Aug →
anubis	14–16	0.06	14%	3 Aug →
dust2	13–3	0.06	24%	3 Aug →
mirage	3–13	0.01	27%	2 Aug →
mirage	3–13	-0.04	33%	1 Aug →
anubis	13–16	0.03	25%	31 Jul →
cache	13–7	0.04	23%	31 Jul →
mirage	13–9	-0.02	21%	30 Jul →
ancient	13–10	0.05	18%	30 Jul →
inferno	6–13	0.03	20%	30 Jul →
ancient	8–13	0.05	15%	30 Jul →
mirage	3–13	-0.08	3%	29 Jul →
nuke	15–15	0.02	21%	29 Jul →
mirage	13–16	0.02	11%	28 Jul →
ancient	11–13	-0.02	24%	28 Jul →
mirage	8–13	-0.01	14%	28 Jul →
mirage	13–3	-0.02	24%	28 Jul →
mirage	7–13	0.07	19%	27 Jul →
mirage	15–15	0.07	19%	27 Jul →
inferno	13–7	0.02	25%	27 Jul →
mirage	13–8	0.04	14%	27 Jul →
nuke	3–13	0.01	24%	27 Jul →
ancient	6–13	0.07	13%	27 Jul →
ancient	14–16	0.08	20%	26 Jul →
inferno	11–13	0.05	35%	26 Jul →
mirage	13–8	0.08	20%	26 Jul →
mirage	4–13	-0.01	19%	25 Jul →
cache	8–13	0.01	24%	25 Jul →
mirage	13–6	0.11	22%	25 Jul →
mirage	13–11	0.05	27%	25 Jul →
cache	13–7	0.06	38%	24 Jul →
anubis	12–12	-0.03	21%	24 Jul →
inferno	5–13	-0.07	14%	22 Jul →
dust2	13–11	0.06	29%	21 Jul →
anubis	13–6	-0.01	25%	21 Jul →
inferno	16–13	0.06	41%	21 Jul →
cache	13–9	0.07	25%	21 Jul →
mirage	13–7	0.12	20%	21 Jul →