fpappug — CS2 Stats

76561198378454077[U:1:418188349]Steam profile ↗✓ No bans

298Tracked matches61%Win rate2025Tracked since

834Hours in CS76Hrs last 2 wks

CSDB Rating4.2 Developing

Premier CS Rating18,253Purple band · top ~15.5% of ranked players (population est.)

CSDB Leaderboard#26911 of 57095 tracked

FaceitLevel 3 · 685 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,851), 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 3 median	Level 4 median	vs Level 4
Headshot rate	38.5%	41.8%	42.7%	4.2% short
Shot accuracy	0.1%	11.9%	10.8%	10.8% short
Kill/death ratio	1.05	0.97	1.00	above
Match win rate	52.6%	43.5%	44.1%	above

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim42

Positioning42

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateLLTTWWWWLW

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

Player DNA

Aim4.2

Aggression4.2

Utility5.4

Positioning4.2

Opening Duels1.1

Clutch1.4

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 78% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 576ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2

Positioning4.2

Utility5.4

Mechanics2.3

Opening Duels1.2

Win Impact8.6

Composite 4.2/10 (Developing), 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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time576ms+44ms

first ⅓ avg 532ms → last ⅓ avg 576ms

Headshot accuracy10.9%−0.9%

first ⅓ avg 11.7% → last ⅓ avg 10.9%

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

0.20Best rating — nuke 13–7

13–1Biggest win — inferno

5Longest win streak

L2Current streak

6–3In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 83% over 6overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	13–11	54%	0.01
inferno	C	16	6–10	38%	0.01
nuke	S	15	10–5	67%	0.02
cache	B	12	6–6	50%	0.02
anubis	A	9	5–4	56%	-0.00
mirage	S	9	6–3	67%	0.02
ancient	S	6	5–1	83%	-0.04
overpass	D	5	1–4	20%	-0.01
train	—	3	1–2	33%	0.04
vertigo	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,150Lifetime kills

1.05K/D · Top 50% of Level 3 players

1,318Matches

52.6%Match win rate · Top 10% of Level 3 players

38.5%Headshot %

0.1%Shot accuracy

2,163MVPs

472Hours (in match)

951Bombs planted

237Bombs defused

Most-used weapons

AK-474,343

M4A4 / M4A1-S4,071

Galil AR2,221

FAMAS1,416

P2000 / USP-S1,035

Glock-18879

MAC-10859

MP7501

Desert Eagle478

XM1014332

Lifetime map wins

4,339dust2

1,886inferno

1,074nuke

172train

105vertigo

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

Faceit stats

Combat

148Matches

46%Win rate

1.06Avg K/D

81.8ADR

39%Headshot %

Clutches & streaks

27%1v1 clutch win

20%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	44	43%	0.98	14.1
Mirage	35	54%	1.13	14.5
Inferno	24	50%	1.19	15.4
Ancient	19	32%	0.94	15.7
Nuke	15	47%	1.07	15.3
Train	4	50%	0.85	11.8
Anubis	4	50%	0.93	10.5
Overpass	2	50%	1.60	22.0

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.

10.5%Headshot accuracy

34.8%Accuracy (enemy spotted)

29.8%Spray accuracy

60.5%Counter-strafing

9.2°Preaim

576msReaction time

28.9%T opening success

39.5%CT opening success

0.52Enemies flashed / flash

1.5%Flash assists

9.16HE damage / grenade

10.04Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.5367% — below the 15% mark we flag
Aim Training →
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 28.915% — below the 40% mark we flag

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	2–13	-0.05	14%	30 Aug →
nuke	6–13	-0.03	13%	30 Aug →
inferno	12–12	-0.02	5%	30 Aug →
anubis	12–12	0.01	8%	29 Aug →
nuke	13–2	0.05	3%	29 Aug →
cache	13–5	0.13	9%	29 Aug →
mirage	13–10	0.13	10%	29 Aug →
inferno	13–1	0.03	18%	29 Aug →
anubis	4–13	-0.06	14%	28 Aug →
inferno	13–10	0.00	11%	27 Aug →
cache	1–13	-0.11	10%	27 Aug →
anubis	13–6	-0.01	15%	27 Aug →
mirage	8–13	-0.02	12%	27 Aug →
inferno	8–13	-0.03	8%	27 Aug →
nuke	13–6	0.07	12%	27 Aug →
dust2	13–11	-0.02	7%	26 Aug →
mirage	9–13	-0.00	9%	26 Aug →
ancient	13–10	0.01	10%	26 Aug →
anubis	9–13	-0.00	8%	26 Aug →
cache	7–1	0.09	20%	26 Aug →
dust2	10–13	0.03	16%	26 Aug →
dust2	13–11	0.09	18%	26 Aug →
nuke	13–9	0.01	10%	26 Aug →
dust2	13–11	0.02	10%	25 Aug →
inferno	11–13	0.03	7%	25 Aug →
cache	13–7	0.09	20%	25 Aug →
inferno	4–9	-0.07	4%	25 Aug →
dust2	13–5	0.12	6%	25 Aug →
ancient	4–13	-0.09	0%	25 Aug →
anubis	11–5	-0.10	3%	25 Aug →
mirage	13–10	-0.07	17%	24 Aug →
dust2	12–12	-0.02	17%	24 Aug →
dust2	13–8	0.02	17%	24 Aug →
cache	6–13	0.06	8%	24 Aug →
mirage	11–13	0.03	22%	24 Aug →
nuke	13–6	0.06	2%	24 Aug →
cache	2–13	-0.03	12%	24 Aug →
overpass	9–13	-0.03	22%	23 Aug →
ancient	13–11	-0.06	6%	22 Aug →
nuke	12–12	0.00	15%	22 Aug →
overpass	8–13	-0.06	19%	22 Aug →
dust2	11–13	-0.04	10%	22 Aug →
inferno	13–8	0.14	15%	22 Aug →
cache	13–2	0.02	16%	22 Aug →
mirage	13–10	-0.00	8%	22 Aug →
inferno	9–5	-0.03	14%	22 Aug →
nuke	13–7	0.20	10%	22 Aug →
inferno	4–13	0.02	19%	22 Aug →
mirage	13–8	0.05	20%	22 Aug →
inferno	7–13	-0.06	14%	21 Aug →
ancient	13–6	-0.01	9%	21 Aug →
vertigo	10–13	-0.01	12%	21 Aug →
inferno	13–1	0.09	14%	21 Aug →
dust2	10–13	-0.03	7%	21 Aug →
nuke	9–4	0.02	14%	21 Aug →
cache	13–6	-0.08	20%	21 Aug →
dust2	13–11	0.10	13%	20 Aug →
cache	7–13	-0.01	5%	20 Aug →
ancient	13–5	-0.05	6%	20 Aug →
cache	13–10	-0.01	12%	20 Aug →
dust2	13–4	0.02	24%	20 Aug →
dust2	1–13	-0.01	19%	20 Aug →
anubis	13–8	0.01	13%	19 Aug →
inferno	8–13	-0.00	13%	19 Aug →
dust2	9–13	-0.04	11%	19 Aug →
mirage	13–1	0.05	24%	19 Aug →
cache	12–12	0.06	11%	18 Aug →
nuke	13–5	0.06	5%	18 Aug →
inferno	12–12	-0.03	5%	18 Aug →
dust2	4–13	-0.08	20%	18 Aug →
anubis	13–11	0.02	9%	18 Aug →
dust2	13–1	0.10	17%	18 Aug →
nuke	5–2	-0.18	0%	18 Aug →
anubis	8–13	-0.04	9%	18 Aug →
anubis	13–6	0.13	16%	17 Aug →
nuke	13–4	0.10	14%	17 Aug →
cache	6–13	-0.02	7%	17 Aug →
dust2	13–6	0.02	16%	17 Aug →
inferno	9–5	0.09	14%	17 Aug →
nuke	9–13	0.00	13%	17 Aug →
train	13–7	-0.02	13%	17 Aug →
dust2	12–12	-0.01	17%	16 Aug →
overpass	10–13	-0.03	19%	16 Aug →
ancient	7–0	-0.03	8%	16 Aug →
dust2	5–13	-0.03	18%	16 Aug →
dust2	16–13	0.01	15%	16 Aug →
dust2	13–9	-0.02	17%	16 Aug →
mirage	13–7	0.01	14%	16 Aug →
nuke	13–9	-0.08	7%	16 Aug →
dust2	13–10	-0.02	12%	16 Aug →
overpass	9–13	-0.01	4%	16 Aug →
nuke	6–13	-0.05	11%	15 Aug →
inferno	7–13	-0.04	13%	15 Aug →
train	7–13	0.04	15%	15 Aug →
train	7–13	0.08	9%	15 Aug →
nuke	13–6	0.09	13%	15 Aug →
dust2	10–13	-0.05	7%	14 Aug →
dust2	8–13	-0.02	8%	14 Aug →
dust2	13–6	0.10	13%	13 Aug →
overpass	13–9	0.06	9%	13 Aug →