éneRG — CS2 Stats

76561198015496848[U:1:55231120]Steam profile ↗✓ No bans

1,771Tracked matches40%Win rate2020Tracked since

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating13,740Blue band · top ~35.1% of ranked players (population est.)

CSDB Leaderboard#14653 of 21816 tracked

FaceitLevel 5 · 1,391 ELOTop 67.6% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning60

Utility57

0–100 skill scores via Leetify.

Recent form

COLD42–56–2Last 10042%Win rateWLWLLLLLWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim6.9

Aggression7.9

Utility5.7

Positioning6.0

Opening Duels4.3

Clutch2.6

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 iM 91% 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 34% 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

Aim6.9

Positioning6.0

Utility5.7

Mechanics4.6

Opening Duels4.3

Win Impact1.7

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time538ms−16ms

first ⅓ avg 554ms → last ⅓ avg 538ms

Headshot accuracy13.7%+0.1%

first ⅓ avg 13.6% → last ⅓ avg 13.7%

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

0.24Best rating — mirage 13–0

13–0Biggest win — mirage

4Longest win streak

8–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

cacheBest map · 57% over 7ancientWeakest map · 38% over 32

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	32	12–20	38%	-0.01
dust2	B	30	14–16	47%	-0.00
inferno	C	16	6–10	38%	-0.01
cache	A	7	4–3	57%	-0.01
nuke	B	6	3–3	50%	0.01
mirage	C	5	2–3	40%	0.06
anubis	—	4	1–3	25%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 32). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

320Matches

48%Win rate

1.06Avg K/D

79.4ADR

31%Headshot %

Clutches & streaks

33%1v1 clutch win

18%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	51	63%	1.13	15.9
Ancient	33	45%	1.06	17.1
Dust2	27	41%	1.39	16.8
Nuke	25	48%	1.03	17.0
Train	9	56%	0.90	16.8
Mirage	5	0%	0.86	13.2
Overpass	1	0%	0.47	9.0
Cache	1	0%	1.06	17.0

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.

13.8%Headshot accuracy

37.5%Accuracy (enemy spotted)

40.4%Spray accuracy

70.9%Counter-strafing

10.1°Preaim

527msReaction time

33.5%T opening success

60.5%CT opening success

0.50Enemies flashed / flash

6.7%Flash assists

9.24HE damage / grenade

10.61Flashes / 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 13.7848% — 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 33.5312% — below the 40% mark we flag

Spend your practice time on Ancient

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	16–14	0.01	13%	28 Aug →
inferno	8–13	-0.02	10%	28 Aug →
inferno	13–6	0.00	5%	28 Aug →
dust2	14–16	-0.02	14%	27 Aug →
dust2	11–13	-0.05	15%	27 Aug →
inferno	10–13	-0.01	3%	25 Aug →
ancient	11–13	-0.04	6%	25 Aug →
ancient	9–13	0.02	13%	25 Aug →
dust2	13–5	-0.06	11%	25 Aug →
ancient	6–13	-0.06	10%	23 Aug →
ancient	8–13	0.01	5%	23 Aug →
ancient	13–11	-0.04	13%	21 Aug →
ancient	12–16	-0.04	16%	20 Aug →
ancient	13–8	-0.01	9%	20 Aug →
ancient	13–11	0.01	13%	20 Aug →
inferno	4–13	-0.02	15%	20 Aug →
dust2	13–1	0.04	9%	19 Aug →
nuke	13–6	-0.01	13%	19 Aug →
nuke	13–6	0.09	12%	19 Aug →
cache	8–13	0.02	26%	19 Aug →
ancient	11–13	-0.02	15%	18 Aug →
dust2	16–14	0.00	19%	17 Aug →
dust2	10–13	-0.01	34%	17 Aug →
dust2	19–17	-0.03	14%	17 Aug →
mirage	7–13	-0.04	28%	1 Aug →
ancient	10–13	-0.11	6%	1 Aug →
ancient	13–6	0.05	24%	1 Aug →
inferno	7–13	-0.06	11%	31 Jul →
ancient	9–13	-0.02	23%	30 Jul →
ancient	5–13	-0.03	3%	30 Jul →
dust2	10–13	0.01	15%	30 Jul →
dust2	1–13	-0.07	5%	29 Jul →
dust2	13–8	0.01	24%	29 Jul →
ancient	6–13	-0.06	8%	29 Jul →
mirage	15–15	0.05	23%	29 Jul →
dust2	13–5	0.04	19%	28 Jul →
dust2	4–13	0.03	17%	28 Jul →
ancient	7–13	-0.05	13%	28 Jul →
cache	7–13	-0.06	26%	28 Jul →
dust2	11–13	0.01	10%	27 Jul →
dust2	3–13	-0.03	20%	27 Jul →
inferno	13–9	0.02	3%	27 Jul →
ancient	11–13	-0.00	8%	27 Jul →
inferno	11–13	0.05	17%	27 Jul →
dust2	13–5	-0.06	23%	26 Jul →
ancient	13–4	0.06	8%	26 Jul →
anubis	4–13	0.01	6%	26 Jul →
ancient	13–5	0.08	7%	25 Jul →
inferno	13–7	0.02	13%	25 Jul →
dust2	13–3	0.12	15%	25 Jul →
dust2	13–10	0.01	12%	25 Jul →
anubis	11–13	-0.02	18%	25 Jul →
inferno	13–9	0.01	11%	24 Jul →
ancient	16–14	-0.02	11%	24 Jul →
dust2	13–9	0.07	13%	24 Jul →
dust2	13–7	0.08	21%	23 Jul →
nuke	9–13	-0.01	8%	23 Jul →
dust2	0–13	-0.10	13%	23 Jul →
inferno	15–15	-0.02	17%	23 Jul →
dust2	6–13	0.03	15%	23 Jul →
ancient	10–13	-0.03	23%	23 Jul →
inferno	4–13	-0.07	12%	22 Jul →
inferno	16–14	-0.03	11%	22 Jul →
dust2	7–13	-0.03	24%	22 Jul →
dust2	4–13	-0.05	18%	22 Jul →
ancient	10–13	0.02	19%	22 Jul →
ancient	6–13	-0.02	10%	22 Jul →
dust2	3–13	-0.09	22%	21 Jul →
anubis	3–13	-0.06	7%	21 Jul →
inferno	9–13	-0.02	18%	21 Jul →
ancient	1–13	-0.05	11%	21 Jul →
cache	16–13	-0.03	6%	20 Jul →
nuke	4–13	-0.05	3%	20 Jul →
cache	13–1	-0.01	8%	20 Jul →
dust2	7–13	-0.05	14%	20 Jul →
dust2	13–8	-0.03	18%	20 Jul →
ancient	13–8	0.01	8%	20 Jul →
ancient	7–13	-0.05	5%	20 Jul →
dust2	14–16	0.02	14%	20 Jul →
anubis	16–12	-0.00	19%	19 Jul →
ancient	13–5	-0.05	3%	18 Jul →
nuke	13–11	0.04	22%	18 Jul →
dust2	0–13	-0.03	15%	18 Jul →
inferno	13–4	-0.01	10%	18 Jul →
mirage	13–0	0.24	18%	18 Jul →
dust2	13–6	0.07	21%	18 Jul →
mirage	8–13	-0.00	7%	18 Jul →
dust2	13–5	0.15	8%	18 Jul →
ancient	13–9	-0.01	13%	17 Jul →
cache	6–13	-0.02	21%	17 Jul →
inferno	14–16	0.04	12%	16 Jul →
mirage	13–9	0.06	11%	16 Jul →
cache	13–7	0.05	18%	16 Jul →
inferno	9–13	-0.01	18%	16 Jul →
ancient	8–13	-0.02	6%	16 Jul →
ancient	10–13	-0.05	26%	16 Jul →
cache	13–10	-0.01	19%	16 Jul →
ancient	13–3	-0.01	21%	15 Jul →
nuke	4–13	-0.01	15%	15 Jul →
ancient	6–13	0.06	13%	15 Jul →