windground ⛟ — CS2 Stats

PN76561198278012066[U:1:317746338]Steam profile ↗✓ No bans

933Tracked matches64%Win rate2020Tracked since

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating23,989Top 50% of 819 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)

CSDB Leaderboard#3420 of 15963 tracked

FaceitLevel 8 · 1,649 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning60

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWWLLLLWWL

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.

Aim6.1

Aggression6.5

Utility5.3

Positioning6.0

Opening Duels3.1

Clutch4.6

Strong 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 b1t 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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 50% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Positioning6.0

Utility5.3

Mechanics6.8

Opening Duels3.1

Win Impact9.8

Composite 6.3/10 (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 rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time592ms−5ms

first ⅓ avg 597ms → last ⅓ avg 592ms

Headshot accuracy20.4%−5.1%

first ⅓ avg 25.5% → last ⅓ avg 20.4%

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

0.24Best rating — overpass 13–2

13–0Biggest win — cache

5Longest win streak

5–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 56% over 27infernoWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	15–12	56%	-0.01
dust2	B	17	9–8	53%	-0.03
inferno	D	16	5–11	31%	-0.01
ancient	B	13	6–7	46%	-0.01
nuke	B	12	6–6	50%	-0.01
cache	B	8	4–4	50%	0.00
overpass	—	4	3–1	75%	0.06
anubis	—	3	2–1	67%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

387Matches

54%Win rate

1.13Avg K/D

77.3ADR

53%Headshot %

Clutches & streaks

43%1v1 clutch win

19%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	73	52%	1.11	16.0
Dust2	42	52%	1.00	14.7
Inferno	39	59%	1.24	17.9
Vertigo	35	49%	0.98	15.3
Anubis	20	35%	0.96	14.3
Ancient	18	44%	1.02	13.7
Nuke	9	44%	0.94	13.2
Overpass	2	100%	0.89	15.5

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.

20.6%Headshot accuracy

28.0%Accuracy (enemy spotted)

35.5%Spray accuracy

80.6%Counter-strafing

10.4°Preaim

585msReaction time

34.4%T opening success

50.5%CT opening success

0.70Enemies flashed / flash

2.8%Flash assists

9.22HE damage / grenade

10.17Flashes / 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 34.3785% — 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.

31% win rate across 16 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
mirage	11–13	0.01	13%	27 Jul →
nuke	13–7	0.04	30%	27 Jul →
anubis	13–10	-0.00	20%	27 Jul →
inferno	9–13	0.07	37%	27 Jul →
mirage	5–13	-0.04	19%	27 Jul →
inferno	6–9	-0.03	21%	26 Jul →
mirage	6–13	-0.05	13%	26 Jul →
cache	13–7	-0.08	21%	24 Jul →
dust2	13–2	-0.03	25%	24 Jul →
mirage	14–16	0.07	13%	23 Jul →
mirage	13–4	0.03	50%	20 Jul →
dust2	13–3	0.05	16%	20 Jul →
inferno	15–15	0.02	21%	20 Jul →
dust2	13–3	0.07	23%	18 Jul →
ancient	13–2	-0.06	6%	18 Jul →
cache	7–13	0.02	14%	18 Jul →
mirage	13–4	0.01	20%	18 Jul →
mirage	5–13	-0.03	22%	18 Jul →
dust2	7–13	-0.06	14%	17 Jul →
ancient	13–11	-0.04	24%	17 Jul →
mirage	13–4	0.00	17%	17 Jul →
anubis	13–4	0.00	7%	16 Jul →
inferno	13–6	0.04	35%	16 Jul →
nuke	9–13	-0.03	17%	16 Jul →
dust2	15–15	-0.01	15%	14 Jul →
dust2	13–10	-0.02	22%	13 Jul →
mirage	13–1	-0.07	27%	13 Jul →
ancient	13–5	0.06	26%	13 Jul →
dust2	13–8	0.07	25%	13 Jul →
cache	10–13	0.00	19%	13 Jul →
mirage	13–5	0.01	14%	13 Jul →
mirage	13–7	0.03	19%	13 Jul →
dust2	5–13	-0.14	8%	12 Jul →
anubis	5–13	-0.00	14%	12 Jul →
inferno	13–5	-0.04	11%	12 Jul →
dust2	10–13	-0.01	14%	12 Jul →
dust2	13–9	0.02	23%	12 Jul →
cache	13–16	-0.04	17%	12 Jul →
cache	15–15	0.04	27%	11 Jul →
mirage	8–13	0.02	26%	11 Jul →
mirage	13–5	-0.03	10%	11 Jul →
ancient	9–13	0.04	19%	11 Jul →
dust2	6–13	-0.10	17%	11 Jul →
cache	13–0	0.16	24%	11 Jul →
dust2	13–8	-0.04	21%	10 Jul →
nuke	14–16	-0.00	27%	10 Jul →
ancient	11–13	-0.06	17%	10 Jul →
cache	16–14	-0.01	29%	10 Jul →
dust2	13–8	-0.03	18%	10 Jul →
nuke	13–3	0.00	16%	9 Jul →
ancient	10–13	-0.04	10%	9 Jul →
mirage	13–3	0.00	32%	9 Jul →
dust2	13–10	-0.02	16%	7 Jul →
cache	13–8	-0.06	23%	7 Jul →
dust2	11–13	-0.02	12%	7 Jul →
inferno	13–6	-0.02	30%	5 Jul →
mirage	16–14	-0.04	20%	5 Jul →
overpass	13–2	0.24	41%	5 Jul →
nuke	6–13	-0.06	23%	5 Jul →
nuke	13–7	-0.03	27%	3 Jul →
overpass	16–14	-0.01	25%	3 Jul →
inferno	6–13	-0.01	22%	3 Jul →
inferno	9–13	-0.03	17%	2 Jul →
mirage	11–13	-0.05	23%	2 Jul →
mirage	14–16	-0.04	12%	1 Jul →
inferno	6–13	-0.04	48%	1 Jul →
mirage	11–13	-0.00	10%	30 Jun →
mirage	13–7	-0.03	30%	30 Jun →
nuke	13–2	0.10	35%	30 Jun →
inferno	13–6	0.01	32%	28 Jun →
mirage	1–13	-0.07	9%	28 Jun →
inferno	4–9	-0.02	54%	28 Jun →
inferno	4–9	-0.18	25%	28 Jun →
nuke	9–1	0.04	35%	27 Jun →
inferno	9–13	0.08	21%	27 Jun →
mirage	13–10	0.01	22%	26 Jun →
ancient	13–4	0.02	23%	26 Jun →
ancient	9–13	0.01	44%	26 Jun →
dust2	8–13	-0.09	33%	25 Jun →
mirage	0–3	-0.08	0%	19 Jun →
dust2	4–13	-0.12	16%	19 Jun →
ancient	9–13	-0.01	21%	19 Jun →
nuke	1–3	-0.06	25%	19 Jun →
ancient	5–13	-0.05	30%	18 Jun →
inferno	11–13	0.06	21%	18 Jun →
mirage	6–13	-0.02	17%	18 Jun →
overpass	14–16	0.01	40%	18 Jun →
ancient	13–4	0.01	23%	16 Jun →
inferno	7–13	-0.05	24%	16 Jun →
inferno	10–3	0.02	26%	16 Jun →
mirage	13–9	0.10	18%	16 Jun →
overpass	13–8	-0.03	26%	15 Jun →
ancient	13–7	0.02	26%	15 Jun →
mirage	13–4	0.02	31%	15 Jun →
nuke	9–13	-0.01	21%	15 Jun →
ancient	8–13	-0.06	25%	14 Jun →
nuke	13–11	-0.04	25%	14 Jun →
mirage	13–6	0.03	16%	14 Jun →
nuke	8–13	-0.03	27%	14 Jun →
mirage	13–9	0.03	19%	14 Jun →