beloved cryptid — CS2 Stats

76561197992003425[U:1:31737697]Steam profile ↗

1,541Tracked matches46%Win rate2020Tracked since

CSDB Rating4.7 DevelopingPassive Rifler

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim61

Positioning34

Utility51

0–100 skill scores via Leetify.

Recent form

COLD56–39–5Last 10056%Win rateLLWLWLLLLW

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

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

Aim6.1

Aggression2.4

Utility5.1

Positioning3.4

Opening Duels0.0

Clutch3.2

Strong CT-side opener

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 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 48% on CT to 8% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 565ms 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

Aim6.1

Positioning3.4

Utility5.1

Mechanics5.5

Opening Duels2.3

Win Impact3.8

Composite 4.7/10 (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-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time563ms−112ms

first ⅓ avg 676ms → last ⅓ avg 563ms

Headshot accuracy18.7%−1.0%

first ⅓ avg 19.7% → last ⅓ avg 18.7%

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

0.07Best rating — mirage 10–13

13–0Biggest win — cache

5Longest win streak

L2Current streak

10–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 78% over 9infernoWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	18	10–8	56%	-0.03
mirage	A	18	11–7	61%	-0.02
inferno	C	13	5–8	38%	-0.04
anubis	A	11	6–5	55%	-0.03
ancient	S	10	7–3	70%	-0.03
dust2	C	9	4–5	44%	-0.02
nuke	S	9	7–2	78%	-0.04
overpass	B	8	4–4	50%	-0.02
iris	—	1	0–1	0%	-0.08
biome	—	1	0–1	0%	-0.06
cbble	—	1	1–0	100%	-0.01
train	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

724Matches

44%Win rate

0.77Avg K/D

56.1ADR

46%Headshot %

Clutches & streaks

36%1v1 clutch win

2%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Cache	10	20%	0.65	13.3
Mirage	9	33%	0.68	10.0
Inferno	8	50%	0.62	7.6
Nuke	8	62%	0.73	12.5
Overpass	6	33%	0.57	10.5
Ancient	6	50%	0.64	8.0
Anubis	5	40%	0.58	8.6
Dust2	4	50%	0.74	11.3

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.

18.4%Headshot accuracy

32.6%Accuracy (enemy spotted)

35.5%Spray accuracy

74.8%Counter-strafing

11.1°Preaim

565msReaction time

8.4%T opening success

48.0%CT opening success

0.48Enemies flashed / flash

6.2%Flash assists

5.96HE damage / grenade

15.24Flashes / 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 0.4761 — 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 8.436% — 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.

38% win rate across 13 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
iris	6–13	-0.08	0%	28 Aug →
cache	11–13	-0.06	32%	27 Aug →
mirage	13–3	-0.03	26%	26 Aug →
biome	13–16	-0.06	13%	25 Aug →
anubis	13–4	-0.04	10%	22 Aug →
inferno	2–13	-0.08	5%	21 Aug →
mirage	7–13	-0.02	21%	20 Aug →
cache	20–22	-0.00	11%	19 Aug →
cache	23–25	-0.03	17%	18 Aug →
inferno	13–7	-0.03	0%	18 Aug →
cache	13–10	-0.07	12%	17 Aug →
mirage	13–11	-0.11	24%	15 Aug →
dust2	12–12	0.02	24%	15 Aug →
ancient	4–13	-0.03	29%	13 Aug →
inferno	13–4	-0.03	9%	13 Aug →
nuke	13–5	-0.01	41%	10 Aug →
dust2	8–13	-0.01	18%	9 Aug →
inferno	13–7	-0.02	45%	9 Aug →
overpass	13–10	-0.06	20%	9 Aug →
mirage	13–4	-0.04	8%	9 Aug →
inferno	12–12	-0.01	19%	8 Aug →
dust2	10–3	0.02	16%	8 Aug →
mirage	9–13	-0.06	12%	8 Aug →
nuke	13–11	-0.07	18%	5 Aug →
overpass	14–16	0.03	14%	5 Aug →
inferno	7–13	-0.08	31%	4 Aug →
cache	8–13	-0.05	29%	4 Aug →
inferno	8–13	-0.09	24%	3 Aug →
cbble	13–7	-0.01	13%	3 Aug →
cache	3–13	-0.03	17%	2 Aug →
ancient	13–8	-0.04	31%	2 Aug →
overpass	13–11	0.01	15%	2 Aug →
ancient	13–7	-0.05	13%	2 Aug →
dust2	13–11	-0.09	28%	2 Aug →
mirage	10–13	0.07	31%	30 Jul →
cache	13–10	-0.01	14%	30 Jul →
nuke	14–16	-0.05	13%	30 Jul →
nuke	13–11	-0.04	16%	27 Jul →
inferno	13–9	-0.03	22%	26 Jul →
cache	13–0	0.04	29%	26 Jul →
dust2	12–12	-0.09	13%	26 Jul →
anubis	13–6	-0.00	25%	26 Jul →
nuke	13–10	-0.09	22%	26 Jul →
anubis	13–2	0.02	22%	26 Jul →
anubis	7–13	-0.06	25%	26 Jul →
nuke	3–13	-0.06	37%	26 Jul →
mirage	13–9	-0.06	19%	26 Jul →
nuke	13–9	-0.01	22%	26 Jul →
cache	13–16	-0.01	18%	25 Jul →
cache	9–13	-0.09	17%	25 Jul →
nuke	13–7	-0.04	23%	25 Jul →
overpass	10–13	-0.04	14%	25 Jul →
mirage	11–13	0.06	24%	22 Jul →
mirage	8–13	-0.01	9%	22 Jul →
mirage	11–13	-0.03	30%	22 Jul →
cache	8–13	-0.02	14%	21 Jul →
dust2	8–13	-0.00	29%	21 Jul →
nuke	16–12	-0.01	20%	21 Jul →
overpass	13–7	0.04	25%	21 Jul →
train	13–7	-0.03	17%	21 Jul →
inferno	11–13	-0.03	33%	20 Jul →
anubis	13–10	0.02	18%	19 Jul →
ancient	13–3	0.05	11%	19 Jul →
cache	13–5	-0.05	22%	19 Jul →
overpass	7–13	-0.07	19%	19 Jul →
ancient	7–13	-0.07	29%	19 Jul →
ancient	9–13	-0.06	13%	18 Jul →
mirage	13–6	0.04	30%	18 Jul →
dust2	12–12	-0.03	24%	18 Jul →
inferno	8–13	-0.01	13%	18 Jul →
cache	13–2	-0.08	23%	18 Jul →
dust2	13–10	0.01	14%	18 Jul →
ancient	13–4	-0.02	6%	11 Jul →
mirage	13–6	-0.01	25%	11 Jul →
anubis	9–13	-0.07	10%	11 Jul →
cache	13–11	-0.03	8%	11 Jul →
ancient	13–6	-0.06	15%	11 Jul →
cache	13–11	-0.01	18%	11 Jul →
dust2	13–11	-0.04	17%	10 Jul →
inferno	3–13	-0.10	8%	9 Jul →
mirage	13–4	0.02	13%	9 Jul →
cache	13–11	-0.03	24%	9 Jul →
mirage	13–6	0.02	30%	8 Jul →
ancient	13–4	-0.02	25%	7 Jul →
mirage	13–9	-0.01	15%	7 Jul →
anubis	2–13	-0.07	16%	6 Jul →
anubis	13–9	-0.01	10%	6 Jul →
overpass	2–13	-0.09	14%	5 Jul →
anubis	13–7	-0.07	13%	5 Jul →
anubis	15–15	-0.08	9%	4 Jul →
mirage	13–8	-0.07	17%	4 Jul →
inferno	13–3	0.03	18%	3 Jul →
mirage	9–13	-0.09	43%	2 Jul →
overpass	13–4	0.02	20%	2 Jul →
inferno	1–13	-0.07	31%	2 Jul →
mirage	13–1	0.02	13%	2 Jul →
cache	13–10	0.00	20%	1 Jul →
cache	13–4	-0.04	21%	1 Jul →
ancient	2–0	-0.04	50%	1 Jul →
anubis	1–13	-0.03	35%	30 Jun →