simppa — CS2 Stats

FI76561199022659146[U:1:1062393418]Steam profile ↗✓ No bans

3,388Tracked matches27%Win rate2022Tracked since

5,466Hours in CS111Hrs last 2 wks

CSDB Rating6.4 SolidHybrid Rifler

FaceitLevel 10 · 2,734 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate	62.9%	52.0%
Shot accuracy	3.9%	13.7%
Kill/death ratio	1.59	1.08
Match win rate	52.5%	48.8%

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Performance scores

Aim86

Positioning61

Utility68

0–100 skill scores via Leetify.

Recent form

COLD40–60Last 10040%Win rateWLLLLLWLLL

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.6

Aggression5.7

Utility6.8

Positioning6.1

Opening Duels2.4

Clutch4.0

Sharp aimerStrong CT-side openerEffective flashes

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 NiKo 95% 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.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

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

Utility6.8

Mechanics7.4

Opening Duels3.9

Win Impact0.0

Composite 6.4/10 (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 rating0.04+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time543ms+8ms

first ⅓ avg 536ms → last ⅓ avg 543ms

Headshot accuracy24.9%−4.2%

first ⅓ avg 29.1% → last ⅓ avg 24.9%

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.

Highlights

0.28Best rating — eldorado 9–2

13–1Biggest win — nuke

5Longest win streak

8–15In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 60% over 5dust2Weakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	25	11–14	44%	0.04
ancient	C	17	6–11	35%	0.02
mirage	C	17	6–11	35%	0.02
cache	C	14	5–9	36%	0.02
inferno	C	11	4–7	36%	0.02
dust2	D	9	3–6	33%	0.00
anubis	A	5	3–2	60%	0.04
eldorado	—	2	2–0	100%	0.16

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

142,532Lifetime kills

1.59K/D · Top 5% of Level 10 players

4,396Matches

52.5%Match win rate · Top 25% of Level 10 players

62.9%Headshot % · Top 25% of Level 10 players

3.9%Shot accuracy

13,469MVPs

2,045Hours (in match)

5,400Bombs planted

1,700Bombs defused

Most-used weapons

AK-4783,797

M4A4 / M4A1-S18,758

Desert Eagle8,970

P2000 / USP-S6,006

AWP5,945

Glock-183,757

Knife2,997

Galil AR2,944

MP92,338

FAMAS1,515

Lifetime map wins

11,408nuke

4,301inferno

3,575train

2,234dust2

2,172vertigo

61cbble

46office

9lake

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

Faceit stats

Combat

3,265Matches

51%Win rate

1.18Avg K/D

84.8ADR

53%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	922	53%	1.21	17.7
Nuke	685	58%	1.25	17.8
Mirage	365	47%	1.06	17.0
Train	266	53%	1.19	17.3
Anubis	246	47%	1.17	16.9
Inferno	182	41%	1.11	16.4
Dust2	129	41%	0.99	15.6
Overpass	103	46%	1.27	18.9

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.

25.1%Headshot accuracy

34.5%Accuracy (enemy spotted)

37.7%Spray accuracy

83.3%Counter-strafing

8.5°Preaim

534msReaction time

18.0%T opening success

61.5%CT opening success

0.72Enemies flashed / flash

13.8%Flash assists

9.46HE damage / grenade

8.59Flashes / 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 17.9997% — 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.

33% win rate across 9 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
ancient	16–14	-0.06	15%	25 Aug →
mirage	9–13	-0.02	18%	25 Aug →
ancient	10–13	0.04	20%	24 Aug →
nuke	4–13	0.12	42%	23 Aug →
cache	11–13	0.06	20%	19 Aug →
nuke	6–13	0.05	27%	19 Aug →
cache	13–8	0.05	28%	18 Aug →
ancient	3–13	-0.05	24%	18 Aug →
dust2	6–13	-0.02	27%	18 Aug →
dust2	1–13	-0.01	24%	17 Aug →
ancient	10–13	0.14	26%	17 Aug →
nuke	13–9	0.04	22%	16 Aug →
cache	5–13	0.05	24%	16 Aug →
mirage	2–13	-0.05	17%	15 Aug →
eldorado	9–2	0.28	22%	15 Aug →
nuke	9–13	0.07	43%	15 Aug →
nuke	13–16	0.06	19%	15 Aug →
mirage	13–8	0.04	20%	15 Aug →
cache	13–5	0.04	28%	15 Aug →
ancient	16–19	-0.03	20%	13 Aug →
ancient	2–13	-0.01	31%	12 Aug →
cache	6–13	-0.02	24%	12 Aug →
dust2	13–11	0.03	27%	9 Aug →
nuke	13–4	0.03	27%	9 Aug →
mirage	11–13	0.02	30%	9 Aug →
mirage	11–13	0.04	25%	9 Aug →
dust2	6–13	0.05	29%	6 Aug →
nuke	13–6	0.11	37%	6 Aug →
inferno	3–13	-0.02	17%	6 Aug →
inferno	11–13	0.06	19%	5 Aug →
eldorado	9–5	0.05	14%	3 Aug →
anubis	4–13	0.03	36%	2 Aug →
nuke	9–5	0.15	19%	2 Aug →
cache	7–13	-0.01	26%	30 Jul →
nuke	13–10	0.11	25%	29 Jul →
nuke	13–5	0.01	30%	29 Jul →
inferno	13–7	0.10	33%	29 Jul →
nuke	13–7	0.04	26%	26 Jul →
ancient	13–6	0.11	18%	24 Jul →
ancient	8–13	0.11	37%	24 Jul →
nuke	7–13	0.03	30%	24 Jul →
inferno	13–4	0.04	25%	23 Jul →
inferno	14–16	-0.01	18%	22 Jul →
anubis	13–10	0.05	23%	22 Jul →
inferno	13–7	0.02	40%	22 Jul →
ancient	13–11	0.02	32%	22 Jul →
mirage	3–13	-0.00	23%	22 Jul →
nuke	10–13	0.04	33%	22 Jul →
cache	13–8	0.03	31%	22 Jul →
ancient	17–19	-0.03	15%	21 Jul →
cache	11–13	-0.00	23%	14 Jul →
mirage	13–6	0.07	30%	14 Jul →
cache	13–8	0.00	23%	7 Jul →
nuke	6–13	-0.04	42%	28 Jun →
inferno	8–13	-0.04	24%	23 Jun →
nuke	6–13	0.00	20%	23 Jun →
nuke	13–8	0.05	45%	23 Jun →
mirage	8–13	-0.02	13%	23 Jun →
inferno	11–13	0.00	41%	23 Jun →
dust2	13–8	-0.07	16%	23 Jun →
nuke	13–6	0.02	33%	17 Jun →
ancient	13–8	0.04	24%	17 Jun →
inferno	7–13	0.00	21%	15 Jun →
ancient	13–6	0.01	32%	15 Jun →
ancient	13–16	-0.00	25%	11 Jun →
nuke	10–13	0.01	27%	8 Jun →
nuke	13–16	0.00	27%	28 May →
dust2	3–13	-0.05	33%	28 May →
mirage	23–25	0.04	14%	25 May →
mirage	9–13	-0.08	23%	20 May →
mirage	13–10	0.05	21%	19 May →
nuke	16–14	0.03	26%	18 May →
ancient	11–13	0.01	19%	18 May →
nuke	0–2	-0.05	100%	17 May →
mirage	9–13	0.05	23%	12 May →
cache	13–9	0.09	25%	12 May →
dust2	14–16	0.02	31%	6 May →
nuke	7–13	-0.01	31%	3 May →
inferno	9–13	-0.02	32%	3 May →
ancient	16–14	0.01	22%	3 May →
cache	10–13	-0.02	30%	3 May →
mirage	11–13	-0.02	22%	29 Apr →
cache	8–13	-0.05	21%	27 Apr →
mirage	13–6	0.05	35%	27 Apr →
cache	8–13	0.02	29%	26 Apr →
anubis	13–11	0.05	20%	26 Apr →
ancient	8–13	0.00	31%	26 Apr →
nuke	11–13	0.06	24%	24 Apr →
mirage	5–13	-0.03	37%	24 Apr →
nuke	7–13	-0.02	29%	24 Apr →
ancient	9–13	0.01	26%	23 Apr →
cache	7–13	-0.01	41%	22 Apr →
nuke	13–1	0.08	41%	22 Apr →
dust2	16–14	0.05	19%	22 Apr →
mirage	13–5	0.06	30%	22 Apr →
anubis	13–7	0.03	26%	22 Apr →
mirage	16–14	0.08	28%	21 Apr →
dust2	8–13	0.02	25%	21 Apr →
inferno	13–8	0.07	28%	21 Apr →
anubis	11–13	0.04	22%	20 Apr →