RangePlays — CS2 Stats

US76561198849288845[U:1:889023117]Steam profile ↗

2,036Tracked matches35%Win rate2023Tracked since

5,521Hours in CS28Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating16,639Purple band · top ~21.9% of ranked players (population est.)

CSDB Leaderboard#9561 of 16005 tracked

FaceitLevel 8 · 1,312 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning54

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateLLWLWWLWWT

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

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

Aim7.3

Aggression5.3

Utility5.1

Positioning5.4

Opening Duels2.7

Clutch4.0

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 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim7.3

Positioning5.4

Utility5.1

Mechanics6.6

Opening Duels2.7

Win Impact0.0

Composite 5.3/10 (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-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time567ms−2ms

first ⅓ avg 570ms → last ⅓ avg 567ms

Headshot accuracy18.6%+2.5%

first ⅓ avg 16.1% → last ⅓ avg 18.6%

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

0.10Best rating — inferno 9–13

13–0Biggest win — ancient

5Longest win streak

L2Current streak

8–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

ancientBest map · 59% over 22anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	23	11–12	48%	-0.02
ancient	A	22	13–9	59%	0.00
dust2	B	17	8–9	47%	0.01
inferno	B	15	7–8	47%	-0.00
anubis	D	9	2–7	22%	0.00
cache	C	5	2–3	40%	-0.00
nuke	—	4	1–3	25%	0.02
overpass	—	2	0–2	0%	0.03
train	—	1	1–0	100%	0.06
vertigo	—	1	1–0	100%	0.00
office	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,024Lifetime kills

1.94K/D · Top 5% of tracked players

2,723Matches

37.4%Match win rate

70.0%Headshot % · Top 5% of tracked players

1.3%Shot accuracy

5,451MVPs

1,027Hours (in match)

1,797Bombs planted

562Bombs defused

Most-used weapons

AK-4775,053

M4A4 / M4A1-S7,888

Desert Eagle5,974

AWP3,736

P2000 / USP-S2,803

Glock-182,190

MP91,529

MAC-101,301

Knife884

FAMAS870

Lifetime map wins

2,575nuke

2,489inferno

2,406dust2

1,463vertigo

1,239office

710train

113italy

40cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

548Matches

50%Win rate

1.01Avg K/D

80.6ADR

42%Headshot %

Clutches & streaks

40%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	168	51%	1.05	15.4
Dust2	110	53%	0.95	14.8
Anubis	93	52%	1.04	16.4
Inferno	70	53%	1.09	16.2
Ancient	60	43%	0.93	15.0
Nuke	14	29%	0.85	17.1
Vertigo	12	33%	0.86	11.8
Train	10	50%	0.89	17.1

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.

18.9%Headshot accuracy

33.4%Accuracy (enemy spotted)

35.4%Spray accuracy

79.8%Counter-strafing

8.7°Preaim

564msReaction time

31.2%T opening success

50.4%CT opening success

0.56Enemies flashed / flash

6.3%Flash assists

7.36HE damage / grenade

9.30Flashes / 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 31.2234% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	7–13	0.01	25%	21 Aug →
ancient	11–13	-0.00	19%	17 Aug →
dust2	13–6	-0.01	26%	16 Aug →
nuke	8–13	-0.00	16%	16 Aug →
mirage	13–6	0.01	22%	16 Aug →
dust2	13–2	0.06	19%	16 Aug →
mirage	1–13	-0.11	14%	16 Aug →
anubis	16–14	0.03	16%	14 Aug →
cache	13–10	-0.03	20%	13 Aug →
ancient	15–15	0.02	22%	12 Aug →
ancient	13–4	-0.01	14%	12 Aug →
dust2	13–11	0.02	31%	11 Aug →
ancient	6–13	0.07	16%	10 Aug →
inferno	9–13	0.10	26%	10 Aug →
dust2	4–13	-0.03	35%	10 Aug →
overpass	10–13	0.03	9%	10 Aug →
inferno	5–9	-0.02	21%	9 Aug →
mirage	11–13	-0.02	16%	9 Aug →
cache	12–12	0.01	24%	8 Aug →
overpass	1–13	0.04	10%	8 Aug →
mirage	4–13	-0.02	24%	7 Aug →
mirage	13–7	0.07	24%	7 Aug →
ancient	13–11	0.02	17%	6 Aug →
anubis	12–12	0.01	19%	5 Aug →
anubis	5–13	-0.09	11%	5 Aug →
dust2	9–13	-0.02	18%	5 Aug →
mirage	12–16	-0.08	11%	4 Aug →
mirage	1–13	-0.04	13%	4 Aug →
inferno	11–13	-0.02	15%	4 Aug →
ancient	12–12	-0.05	16%	4 Aug →
anubis	5–13	0.02	16%	3 Aug →
ancient	10–13	0.00	13%	3 Aug →
mirage	8–13	-0.05	15%	2 Aug →
cache	8–13	0.02	24%	2 Aug →
mirage	9–13	-0.03	26%	2 Aug →
inferno	13–10	-0.04	15%	2 Aug →
inferno	15–19	-0.06	16%	2 Aug →
ancient	13–8	-0.09	23%	2 Aug →
mirage	25–21	-0.00	17%	2 Aug →
mirage	12–16	-0.03	21%	2 Aug →
mirage	13–2	-0.08	12%	1 Aug →
ancient	11–13	0.03	19%	1 Aug →
mirage	13–9	0.04	8%	31 Jul →
inferno	4–13	-0.06	19%	30 Jul →
train	13–6	0.06	19%	29 Jul →
ancient	1–13	-0.05	25%	29 Jul →
vertigo	13–10	0.00	26%	29 Jul →
inferno	13–9	0.04	12%	29 Jul →
cache	5–13	-0.05	8%	28 Jul →
dust2	3–13	-0.01	18%	27 Jul →
dust2	12–16	0.01	19%	26 Jul →
ancient	13–4	-0.04	25%	26 Jul →
mirage	11–13	0.01	6%	26 Jul →
dust2	13–2	-0.01	18%	25 Jul →
dust2	7–13	0.08	23%	25 Jul →
anubis	5–13	-0.03	30%	25 Jul →
anubis	6–13	0.03	14%	25 Jul →
mirage	10–13	-0.05	21%	25 Jul →
dust2	13–4	0.07	28%	24 Jul →
inferno	4–13	-0.10	16%	24 Jul →
ancient	16–12	0.05	27%	24 Jul →
cache	13–11	0.04	13%	22 Jul →
mirage	8–13	-0.06	10%	22 Jul →
dust2	13–9	0.02	29%	21 Jul →
inferno	13–8	-0.03	24%	20 Jul →
ancient	11–13	-0.07	19%	20 Jul →
nuke	10–13	0.00	15%	20 Jul →
anubis	16–12	0.04	17%	20 Jul →
mirage	13–9	0.01	12%	19 Jul →
inferno	9–5	0.04	9%	19 Jul →
anubis	13–16	-0.00	13%	19 Jul →
mirage	13–6	-0.03	9%	18 Jul →
mirage	13–11	0.06	21%	18 Jul →
dust2	13–16	0.00	21%	17 Jul →
inferno	13–3	0.06	10%	17 Jul →
ancient	16–14	-0.00	8%	16 Jul →
mirage	10–13	-0.04	13%	16 Jul →
ancient	13–11	-0.02	10%	16 Jul →
dust2	9–13	-0.05	13%	16 Jul →
ancient	13–4	-0.02	12%	15 Jul →
ancient	13–1	0.01	19%	14 Jul →
inferno	10–13	-0.02	18%	14 Jul →
nuke	13–3	0.02	26%	13 Jul →
ancient	13–11	0.02	20%	13 Jul →
inferno	13–2	0.05	24%	13 Jul →
ancient	13–2	0.05	11%	13 Jul →
ancient	15–15	0.05	15%	13 Jul →
ancient	13–9	-0.05	8%	13 Jul →
dust2	13–6	0.05	21%	13 Jul →
mirage	13–9	-0.01	16%	13 Jul →
nuke	6–13	0.07	21%	12 Jul →
dust2	11–13	-0.05	31%	11 Jul →
dust2	13–6	0.01	18%	11 Jul →
ancient	13–0	0.08	9%	11 Jul →
inferno	13–3	0.06	24%	11 Jul →
mirage	13–10	0.03	14%	11 Jul →
mirage	13–7	-0.00	15%	10 Jul →
inferno	11–13	0.01	11%	10 Jul →
dust2	15–15	-0.02	21%	10 Jul →
office	8–13	0.00	24%	9 Jul →