Pl4yGround — CS2 Stats

76561197997103208[U:1:36837480]✓ No bans

3,904Tracked matches40%Win rate2020Tracked since

CSDB Rating6.1 SolidAggressive Rifler

FaceitLevel 10 · 2,123 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning60

Utility56

0–100 skill scores via Leetify.

Recent form

COLD45–54–1Last 10045%Win rateLLLLLWLLWW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.5

Aggression7.9

Utility5.6

Positioning6.0

Opening Duels3.2

Clutch3.4

Sharp aimerStrong 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 b1t 95% playstyle similarity

Most alike: opening-duel success, positioning 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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 54% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.5

Positioning6.0

Utility5.6

Mechanics6.7

Opening Duels3.2

Win Impact1.7

Composite 6.1/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time540ms−40ms

first ⅓ avg 579ms → last ⅓ avg 540ms

Headshot accuracy21.7%−1.2%

first ⅓ avg 22.8% → last ⅓ avg 21.7%

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

0.14Best rating — cache 4–13

13–1Biggest win — vertigo

7Longest win streak

L5Current streak

10–14In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 65% over 17infernoWeakest map · 32% over 19

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	24	11–13	46%	0.01
nuke	C	22	9–13	41%	0.02
inferno	D	19	6–13	32%	-0.00
anubis	S	17	11–6	65%	0.02
cache	C	9	4–5	44%	0.01
vertigo	A	5	3–2	60%	0.04
mirage	—	3	0–3	0%	0.03
dust2	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,443Matches

50%Win rate

1.25Avg K/D

80.2ADR

47%Headshot %

Clutches & streaks

37%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	401	53%	1.26	17.5
Nuke	343	55%	1.42	18.6
Anubis	284	45%	1.23	17.4
Inferno	231	45%	1.12	16.0
Vertigo	150	51%	1.28	17.6
Overpass	111	50%	1.24	17.6
Dust2	92	30%	0.98	14.8
Train	74	49%	1.24	17.4

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.

21.6%Headshot accuracy

36.7%Accuracy (enemy spotted)

40.9%Spray accuracy

80.3%Counter-strafing

8.6°Preaim

528msReaction time

31.1%T opening success

54.5%CT opening success

0.54Enemies flashed / flash

6.3%Flash assists

8.77HE damage / grenade

10.49Flashes / 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 31.11% — 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.

32% win rate across 19 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
anubis	11–13	-0.01	19%	27 Aug →
inferno	11–13	0.01	29%	27 Aug →
nuke	10–13	-0.04	10%	27 Aug →
anubis	11–13	-0.02	18%	27 Aug →
vertigo	5–13	0.01	14%	27 Aug →
cache	13–5	-0.02	50%	23 Aug →
inferno	10–13	0.01	23%	23 Aug →
ancient	8–13	-0.04	20%	23 Aug →
nuke	13–8	-0.01	19%	23 Aug →
vertigo	13–7	0.09	16%	23 Aug →
inferno	3–13	-0.06	18%	21 Aug →
vertigo	10–13	-0.05	20%	21 Aug →
ancient	13–4	-0.01	14%	21 Aug →
nuke	11–13	0.06	16%	21 Aug →
cache	13–10	-0.01	34%	21 Aug →
anubis	13–6	0.04	20%	21 Aug →
ancient	11–13	-0.01	15%	20 Aug →
anubis	13–5	0.05	21%	20 Aug →
ancient	19–17	0.00	21%	20 Aug →
cache	4–13	0.03	21%	20 Aug →
vertigo	13–2	0.04	24%	20 Aug →
nuke	13–8	0.06	28%	20 Aug →
inferno	12–16	-0.01	32%	17 Aug →
ancient	6–13	0.03	29%	17 Aug →
anubis	31–28	0.02	18%	17 Aug →
inferno	13–11	0.01	20%	16 Aug →
nuke	6–13	-0.04	18%	16 Aug →
ancient	14–16	-0.03	17%	16 Aug →
cache	11–13	0.00	29%	16 Aug →
nuke	10–13	0.06	22%	13 Aug →
inferno	11–13	0.01	20%	13 Aug →
ancient	13–9	0.04	15%	13 Aug →
inferno	7–13	-0.02	24%	13 Aug →
ancient	6–13	0.01	11%	13 Aug →
ancient	16–14	0.01	20%	10 Aug →
inferno	13–8	0.03	16%	10 Aug →
anubis	13–11	0.06	25%	10 Aug →
ancient	13–6	0.08	27%	10 Aug →
vertigo	13–1	0.09	29%	10 Aug →
ancient	13–11	-0.01	17%	30 Jul →
cache	13–8	0.04	17%	30 Jul →
inferno	9–13	0.04	26%	30 Jul →
anubis	13–1	0.09	31%	30 Jul →
inferno	13–8	-0.02	19%	30 Jul →
ancient	13–7	0.01	16%	30 Jul →
mirage	9–13	0.03	27%	28 Jul →
nuke	1–13	0.03	31%	28 Jul →
anubis	13–7	0.01	12%	26 Jul →
ancient	9–13	0.05	24%	26 Jul →
inferno	11–13	-0.03	8%	25 Jul →
cache	11–13	0.03	21%	25 Jul →
nuke	13–8	-0.02	20%	25 Jul →
ancient	6–13	-0.11	16%	25 Jul →
inferno	13–9	0.01	18%	25 Jul →
anubis	13–10	0.00	28%	25 Jul →
ancient	10–13	-0.02	14%	25 Jul →
nuke	16–19	-0.03	21%	25 Jul →
anubis	6–13	0.00	16%	25 Jul →
inferno	9–13	0.04	15%	25 Jul →
anubis	13–9	0.07	32%	25 Jul →
anubis	5–13	-0.00	9%	25 Jul →
inferno	8–13	0.01	18%	25 Jul →
dust2	13–6	0.08	23%	24 Jul →
nuke	11–13	0.00	17%	24 Jul →
mirage	10–13	0.02	25%	24 Jul →
nuke	7–13	0.01	38%	24 Jul →
ancient	8–13	0.08	12%	24 Jul →
nuke	17–19	-0.02	18%	24 Jul →
ancient	16–13	0.03	14%	24 Jul →
inferno	11–13	-0.01	15%	24 Jul →
nuke	13–10	0.03	23%	24 Jul →
nuke	13–7	-0.01	42%	24 Jul →
ancient	6–13	0.00	34%	24 Jul →
anubis	19–17	0.07	20%	24 Jul →
nuke	13–3	0.04	23%	23 Jul →
inferno	5–13	-0.08	15%	23 Jul →
nuke	11–13	0.02	18%	23 Jul →
nuke	7–13	0.06	33%	23 Jul →
cache	13–11	-0.03	18%	23 Jul →
inferno	13–5	0.06	29%	23 Jul →
ancient	7–13	0.02	20%	23 Jul →
anubis	6–13	-0.06	12%	23 Jul →
cache	4–13	0.14	22%	22 Jul →
mirage	5–13	0.03	28%	22 Jul →
nuke	15–15	0.11	26%	22 Jul →
ancient	28–25	0.04	16%	21 Jul →
nuke	3–13	-0.03	33%	21 Jul →
ancient	8–13	-0.05	13%	21 Jul →
nuke	13–4	0.09	34%	21 Jul →
anubis	13–9	0.07	27%	21 Jul →
nuke	13–11	0.01	27%	20 Jul →
inferno	4–13	-0.01	28%	20 Jul →
ancient	13–11	-0.00	23%	20 Jul →
anubis	13–5	0.04	25%	20 Jul →
cache	3–13	-0.07	14%	20 Jul →
ancient	9–13	0.07	26%	20 Jul →
nuke	13–7	-0.00	21%	19 Jul →
inferno	13–6	0.01	24%	19 Jul →
ancient	13–11	0.07	23%	19 Jul →
anubis	10–13	-0.05	13%	19 Jul →