El puto spider man — CS2 Stats

76561199509297313[U:1:1549031585]Steam profile ↗✓ No bans

2,393Tracked matches36%Win rate2023Tracked since

CSDB Rating4.9 DevelopingHybrid Rifler

Premier CS Rating16,255Purple band · top ~23.4% of ranked players (population est.)

CSDB Leaderboard#14235 of 23947 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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

Aim66

Positioning49

Utility48

0–100 skill scores via Leetify.

Recent form

COLD53–44–3Last 10053%Win rateLLTLLTLWWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.6

Aggression6.5

Utility4.8

Positioning4.9

Opening Duels2.8

Clutch2.4

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 ropz 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 615ms 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

Positioning4.9

Utility4.8

Mechanics6.1

Opening Duels2.8

Win Impact0.2

Composite 4.9/10 (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 rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time622ms+19ms

first ⅓ avg 604ms → last ⅓ avg 622ms

Headshot accuracy19.5%+1.7%

first ⅓ avg 17.8% → last ⅓ avg 19.5%

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

0.13Best rating — mirage 13–3

13–0Biggest win — anubis

8Longest win streak

L2Current streak

8–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 69% over 13infernoWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	19	9–10	47%	-0.00
inferno	C	15	6–9	40%	0.01
cache	B	15	7–8	47%	-0.01
anubis	A	15	9–6	60%	0.03
ancient	A	13	8–5	62%	0.01
mirage	S	13	9–4	69%	0.02
nuke	A	7	4–3	57%	0.02
vertigo	—	3	1–2	33%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

227Matches

50%Win rate

0.98Avg K/D

79.7ADR

39%Headshot %

Clutches & streaks

32%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	47	47%	0.99	17.3
Dust2	44	39%	0.84	13.4
Mirage	40	55%	1.05	15.8
Ancient	36	61%	1.08	14.8
Inferno	24	50%	0.90	13.5
Nuke	16	50%	0.94	14.8
Train	13	38%	0.95	15.7
Cache	3	67%	1.05	14.3

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.

20.3%Headshot accuracy

36.1%Accuracy (enemy spotted)

36.2%Spray accuracy

77.7%Counter-strafing

11.3°Preaim

615msReaction time

37.4%T opening success

44.9%CT opening success

0.48Enemies flashed / flash

3.7%Flash assists

6.96HE damage / grenade

9.42Flashes / 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 0.482 — below the 0.5 mark we flag
Grenade Lineups →
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 37.4121% — below the 40% mark we flag

Spend your practice time on Inferno

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 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	0.00	11%	28 Aug →
ancient	2–13	-0.13	17%	28 Aug →
cache	12–12	-0.03	27%	28 Aug →
cache	11–13	-0.03	22%	27 Aug →
cache	6–13	-0.06	20%	12 Aug →
cache	15–15	0.05	25%	6 Aug →
mirage	3–13	0.02	15%	5 Aug →
ancient	16–14	0.09	16%	5 Aug →
dust2	13–6	-0.01	38%	5 Aug →
cache	7–13	0.06	22%	4 Aug →
mirage	13–9	-0.06	17%	4 Aug →
inferno	13–16	0.02	31%	4 Aug →
anubis	13–4	0.03	11%	4 Aug →
nuke	8–13	-0.02	12%	3 Aug →
ancient	9–13	0.06	16%	3 Aug →
anubis	4–13	0.02	13%	3 Aug →
dust2	6–13	0.03	28%	3 Aug →
mirage	13–11	0.04	40%	3 Aug →
cache	9–13	-0.04	23%	2 Aug →
dust2	13–11	0.02	11%	2 Aug →
anubis	11–13	0.02	7%	2 Aug →
cache	13–5	0.05	19%	2 Aug →
inferno	13–11	-0.03	25%	31 Jul →
dust2	7–13	-0.03	22%	31 Jul →
inferno	11–13	0.06	20%	31 Jul →
inferno	4–13	-0.05	10%	29 Jul →
vertigo	13–9	-0.06	23%	29 Jul →
vertigo	10–13	-0.04	15%	29 Jul →
vertigo	4–13	-0.06	26%	29 Jul →
dust2	13–4	0.03	20%	28 Jul →
dust2	14–16	-0.01	16%	28 Jul →
ancient	11–13	-0.03	13%	28 Jul →
dust2	8–13	0.03	15%	26 Jul →
mirage	13–4	0.01	19%	26 Jul →
nuke	13–11	0.02	13%	26 Jul →
ancient	13–8	0.00	13%	26 Jul →
dust2	2–13	-0.02	18%	26 Jul →
nuke	13–7	-0.02	15%	26 Jul →
cache	13–9	-0.02	9%	26 Jul →
mirage	16–14	-0.00	17%	26 Jul →
dust2	13–10	0.01	18%	25 Jul →
anubis	13–3	0.05	12%	25 Jul →
ancient	16–13	0.02	10%	25 Jul →
dust2	16–13	0.01	15%	25 Jul →
inferno	13–11	0.03	16%	25 Jul →
inferno	3–13	0.00	23%	24 Jul →
anubis	13–7	0.06	29%	24 Jul →
nuke	13–7	0.06	23%	24 Jul →
dust2	10–13	-0.06	15%	24 Jul →
ancient	10–13	0.02	16%	24 Jul →
anubis	13–0	0.06	17%	24 Jul →
inferno	13–9	0.02	17%	24 Jul →
dust2	1–6	-0.07	10%	24 Jul →
anubis	13–3	0.00	33%	23 Jul →
dust2	13–10	-0.02	13%	23 Jul →
anubis	5–13	0.01	3%	22 Jul →
mirage	13–6	0.09	41%	22 Jul →
inferno	13–7	0.01	27%	22 Jul →
anubis	11–13	0.01	12%	22 Jul →
mirage	13–4	-0.02	12%	22 Jul →
nuke	13–6	0.00	20%	22 Jul →
anubis	13–10	-0.02	28%	22 Jul →
anubis	10–0	0.02	26%	22 Jul →
cache	13–7	-0.05	10%	21 Jul →
anubis	9–13	0.03	14%	21 Jul →
ancient	12–16	-0.02	9%	21 Jul →
mirage	0–11	0.00	13%	21 Jul →
dust2	6–13	-0.02	25%	20 Jul →
inferno	11–13	0.10	20%	20 Jul →
mirage	15–15	-0.06	8%	20 Jul →
ancient	13–6	0.00	21%	20 Jul →
dust2	11–13	0.08	17%	20 Jul →
mirage	6–13	0.01	15%	20 Jul →
ancient	13–10	-0.04	13%	20 Jul →
dust2	13–9	-0.01	21%	20 Jul →
cache	13–8	0.08	25%	19 Jul →
cache	13–4	-0.01	8%	19 Jul →
anubis	13–8	0.09	24%	19 Jul →
anubis	2–13	-0.03	8%	19 Jul →
nuke	7–13	0.02	18%	17 Jul →
cache	10–13	-0.00	11%	17 Jul →
anubis	13–11	0.04	37%	17 Jul →
mirage	13–6	0.02	20%	17 Jul →
dust2	5–13	-0.03	10%	17 Jul →
cache	13–8	-0.05	16%	17 Jul →
inferno	13–6	0.03	15%	17 Jul →
dust2	13–5	0.01	21%	16 Jul →
cache	7–13	-0.01	20%	16 Jul →
mirage	13–10	0.10	23%	16 Jul →
nuke	9–13	0.04	8%	16 Jul →
cache	13–10	-0.05	13%	16 Jul →
inferno	13–6	0.04	25%	16 Jul →
inferno	13–16	-0.02	12%	15 Jul →
inferno	12–16	0.02	18%	15 Jul →
ancient	13–8	0.04	50%	15 Jul →
dust2	13–7	0.04	15%	15 Jul →
inferno	5–13	-0.07	13%	15 Jul →
ancient	13–3	0.06	26%	15 Jul →
mirage	13–3	0.13	8%	15 Jul →
ancient	13–8	0.10	6%	15 Jul →