Reckless — CS2 Stats

76561198020158866[U:1:59893138]

1,743Tracked matches37%Win rate2023Tracked since

CSDB Rating4.2 Developing

Premier CS Rating18,891Purple band · top ~12.9% of ranked players (population est.)

CSDB Leaderboard#12399 of 25883 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

Rating over time

19,423Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

532 below peak (19,423)
Next: Pink band at 20,000 — 1,109 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim49

Positioning46

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY40–58–2Last 10040%Win rateWLWWLLLLWL

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

Player DNA

Aim4.9

Aggression4.8

Utility6.5

Positioning4.6

Opening Duels0.7

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 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 653ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.9

Positioning4.6

Utility6.5

Mechanics4.4

Opening Duels0.7

Win Impact0.6

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 rating-0.02−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time660ms−7ms

first ⅓ avg 667ms → last ⅓ avg 660ms

Headshot accuracy12.9%−2.5%

first ⅓ avg 15.4% → last ⅓ avg 12.9%

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

0.15Best rating — cache 11–13

13–0Biggest win — mirage

5Longest win streak

10–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

mirageBest map · 74% over 19infernoWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	29	9–20	31%	-0.01
mirage	S	19	14–5	74%	-0.02
dust2	C	17	6–11	35%	-0.02
inferno	D	12	2–10	17%	-0.04
nuke	D	10	3–7	30%	-0.01
anubis	B	8	4–4	50%	-0.02
ancient	C	5	2–3	40%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches

33%Win rate

0.90Avg K/D

—ADR

35%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLLL

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.

13.0%Headshot accuracy

35.5%Accuracy (enemy spotted)

36.6%Spray accuracy

69.9%Counter-strafing

10.2°Preaim

653msReaction time

32.4%T opening success

32.9%CT opening success

0.77Enemies flashed / flash

8.3%Flash assists

10.92HE damage / grenade

5.50Flashes / 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 12.9824% — 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 32.3545% — 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.

17% win rate across 12 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	13–11	-0.05	11%	29 Aug →
dust2	8–13	0.02	17%	29 Aug →
ancient	13–9	-0.09	11%	29 Aug →
mirage	13–2	-0.06	9%	29 Aug →
ancient	10–13	-0.02	6%	29 Aug →
cache	7–13	-0.04	8%	29 Aug →
cache	11–13	0.15	13%	29 Aug →
dust2	9–13	-0.02	18%	29 Aug →
mirage	13–9	0.04	12%	28 Aug →
inferno	9–13	-0.06	16%	28 Aug →
inferno	5–13	0.03	17%	28 Aug →
ancient	6–13	-0.07	9%	28 Aug →
dust2	7–13	-0.01	7%	28 Aug →
cache	16–14	0.02	8%	28 Aug →
dust2	13–5	-0.01	16%	27 Aug →
mirage	16–14	-0.03	8%	27 Aug →
mirage	12–16	0.01	14%	26 Aug →
inferno	10–13	-0.03	12%	26 Aug →
dust2	6–13	-0.04	20%	26 Aug →
dust2	7–13	-0.05	20%	25 Aug →
dust2	2–13	-0.02	25%	25 Aug →
dust2	8–13	0.01	18%	25 Aug →
nuke	2–13	-0.12	13%	25 Aug →
cache	13–8	0.03	12%	25 Aug →
dust2	13–11	0.01	14%	24 Aug →
dust2	13–8	-0.02	20%	24 Aug →
cache	7–13	0.03	11%	24 Aug →
mirage	9–13	-0.06	7%	23 Aug →
mirage	13–11	-0.04	14%	23 Aug →
cache	11–13	-0.04	12%	23 Aug →
cache	13–11	-0.11	13%	23 Aug →
nuke	1–13	-0.12	0%	22 Aug →
anubis	6–13	-0.05	14%	22 Aug →
cache	8–13	-0.09	19%	22 Aug →
mirage	13–5	0.01	21%	22 Aug →
nuke	7–13	-0.05	6%	22 Aug →
mirage	4–13	-0.09	7%	22 Aug →
nuke	10–13	-0.04	20%	22 Aug →
anubis	13–10	-0.03	19%	22 Aug →
cache	13–6	0.03	15%	21 Aug →
dust2	13–9	-0.06	20%	21 Aug →
inferno	10–13	-0.04	13%	20 Aug →
cache	5–13	-0.06	26%	20 Aug →
mirage	13–0	-0.00	9%	20 Aug →
mirage	13–1	-0.08	37%	20 Aug →
anubis	3–13	-0.06	32%	19 Aug →
inferno	4–13	-0.07	6%	19 Aug →
cache	13–4	-0.05	25%	19 Aug →
dust2	5–13	-0.08	38%	18 Aug →
nuke	13–4	0.05	34%	18 Aug →
cache	6–13	-0.05	13%	18 Aug →
mirage	4–13	-0.07	15%	18 Aug →
nuke	6–13	0.07	13%	17 Aug →
cache	13–11	0.01	10%	17 Aug →
mirage	9–13	-0.01	20%	17 Aug →
cache	13–6	0.09	18%	17 Aug →
anubis	13–7	0.01	26%	17 Aug →
mirage	13–6	0.03	26%	17 Aug →
cache	10–13	0.02	14%	17 Aug →
inferno	3–13	-0.12	13%	17 Aug →
inferno	13–11	-0.01	12%	17 Aug →
nuke	13–7	0.03	17%	17 Aug →
mirage	16–14	-0.03	18%	16 Aug →
cache	8–13	-0.05	13%	16 Aug →
anubis	9–13	-0.03	10%	16 Aug →
mirage	13–8	-0.04	11%	16 Aug →
dust2	13–8	0.02	4%	16 Aug →
cache	9–13	0.06	12%	16 Aug →
anubis	9–13	0.00	16%	16 Aug →
mirage	13–5	0.08	13%	16 Aug →
mirage	13–9	-0.01	15%	16 Aug →
cache	13–3	-0.00	22%	16 Aug →
mirage	13–10	0.01	24%	16 Aug →
nuke	13–7	0.03	24%	15 Aug →
cache	11–13	0.01	9%	15 Aug →
cache	8–13	-0.05	12%	14 Aug →
ancient	13–7	-0.06	21%	14 Aug →
cache	7–13	0.03	22%	14 Aug →
cache	10–13	0.06	15%	14 Aug →
cache	11–13	-0.06	19%	14 Aug →
anubis	13–4	-0.03	13%	13 Aug →
anubis	13–7	0.01	23%	13 Aug →
nuke	11–13	0.04	28%	13 Aug →
mirage	12–7	-0.00	10%	13 Aug →
inferno	9–13	-0.07	13%	11 Aug →
inferno	7–13	-0.03	21%	11 Aug →
ancient	9–13	-0.07	21%	11 Aug →
cache	15–15	-0.02	13%	11 Aug →
dust2	4–13	-0.05	0%	11 Aug →
cache	10–13	-0.01	29%	10 Aug →
cache	15–15	-0.02	8%	10 Aug →
dust2	7–13	0.04	12%	10 Aug →
cache	10–13	0.00	11%	10 Aug →
cache	4–13	-0.04	20%	10 Aug →
cache	13–9	-0.01	13%	9 Aug →
dust2	9–13	-0.03	11%	9 Aug →
inferno	3–13	0.01	14%	9 Aug →
nuke	0–13	-0.01	0%	9 Aug →
dust2	13–11	-0.04	14%	9 Aug →
inferno	6–13	-0.04	10%	9 Aug →