dino buddy — CS2 Stats

76561198072018780[U:1:111753052]Steam profile ↗✓ No bans

553Tracked matches57%Win rate2020Tracked since

CSDB Rating6.0 SolidHybrid Rifler

Premier CS Rating24,088Top 50% of 819 CSDB-tracked playersPink band · top ~4% of ranked players (population est.)

CSDB Leaderboard#4152 of 21195 tracked

FaceitLevel 8 · 1,591 ELOTop 31.2% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning55

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY50–41–9Last 10050%Win rateLWLLWLWWWL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim7.1

Aggression5.7

Utility4.2

Positioning5.5

Opening Duels1.9

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 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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 46% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim7.1

Positioning5.5

Utility4.2

Mechanics7.1

Opening Duels2.0

Win Impact7.4

Composite 6.0/10 (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-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time606ms−17ms

first ⅓ avg 624ms → last ⅓ avg 606ms

Headshot accuracy23.6%+2.4%

first ⅓ avg 21.1% → last ⅓ avg 23.6%

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

0.20Best rating — mirage 13–6

13–0Biggest win — dust2

5Longest win streak

11–4In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 78% over 9vertigoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	22	14–8	64%	0.02
inferno	C	17	7–10	41%	-0.03
mirage	C	13	5–8	38%	0.01
ancient	A	13	8–5	62%	0.01
vertigo	C	11	4–7	36%	0.02
nuke	S	9	7–2	78%	-0.00
cache	C	7	3–4	43%	0.05
overpass	—	3	1–2	33%	0.00
train	—	2	0–2	0%	0.02
anubis	—	1	1–0	100%	-0.05
palacio	—	1	0–1	0%	0.03
golden	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

83Matches

54%Win rate

1.16Avg K/D

80.5ADR

54%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	30	50%	1.15	15.0
Dust2	18	67%	1.33	17.4
Inferno	13	62%	0.86	12.2
Nuke	5	40%	0.99	19.2
Overpass	5	80%	1.77	16.0
Ancient	5	40%	1.03	16.8
Train	4	25%	1.07	17.8
Anubis	3	33%	1.11	15.7

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.

23.2%Headshot accuracy

31.9%Accuracy (enemy spotted)

33.3%Spray accuracy

81.8%Counter-strafing

8.9°Preaim

616msReaction time

29.2%T opening success

45.9%CT opening success

0.51Enemies flashed / flash

8.7%Flash assists

8.32HE damage / grenade

6.73Flashes / 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 29.1515% — below the 40% mark we flag

Spend your practice time on Vertigo

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	9–13	0.03	19%	16 Aug →
nuke	16–14	-0.01	25%	15 Aug →
inferno	1–13	-0.10	31%	15 Aug →
inferno	4–13	-0.05	30%	14 Aug →
inferno	16–14	-0.09	13%	10 Aug →
dust2	5–13	-0.07	20%	10 Aug →
nuke	13–4	0.01	19%	10 Aug →
cache	13–8	0.04	27%	8 Aug →
dust2	13–11	0.01	23%	7 Aug →
mirage	5–13	-0.04	19%	7 Aug →
inferno	13–11	0.02	24%	5 Aug →
inferno	13–3	-0.04	13%	5 Aug →
mirage	5–13	-0.11	18%	4 Aug →
mirage	15–15	-0.01	18%	4 Aug →
dust2	9–13	-0.00	20%	4 Aug →
dust2	13–0	0.09	18%	3 Aug →
nuke	11–13	-0.01	22%	3 Aug →
dust2	3–13	-0.08	10%	3 Aug →
vertigo	13–10	-0.00	33%	2 Aug →
mirage	13–6	0.02	25%	1 Aug →
dust2	13–8	0.00	18%	1 Aug →
inferno	9–13	-0.01	25%	1 Aug →
vertigo	13–5	0.06	31%	1 Aug →
inferno	7–13	0.01	39%	1 Aug →
dust2	16–12	-0.06	23%	1 Aug →
ancient	13–11	-0.03	23%	1 Aug →
mirage	13–6	0.20	23%	30 Jul →
vertigo	2–13	-0.06	20%	30 Jul →
cache	12–12	0.09	39%	30 Jul →
cache	13–8	0.05	26%	30 Jul →
mirage	8–13	-0.03	26%	30 Jul →
inferno	11–13	-0.03	36%	27 Jul →
mirage	13–7	-0.03	23%	27 Jul →
vertigo	3–13	-0.06	23%	27 Jul →
ancient	13–10	0.00	42%	27 Jul →
inferno	15–15	-0.00	22%	27 Jul →
nuke	13–9	-0.10	23%	18 Jul →
ancient	5–13	0.00	20%	18 Jul →
nuke	12–12	-0.04	34%	18 Jul →
dust2	13–9	0.06	22%	12 Jul →
cache	7–13	0.06	19%	12 Jul →
anubis	13–4	-0.05	11%	12 Jul →
nuke	13–5	-0.02	24%	12 Jul →
cache	5–13	0.02	10%	5 Jul →
ancient	2–13	-0.03	26%	5 Jul →
dust2	6–13	-0.06	14%	5 Jul →
vertigo	7–13	0.00	25%	5 Jul →
cache	13–9	0.04	41%	4 Jul →
dust2	10–1	0.10	39%	23 Jun →
nuke	13–8	0.02	18%	23 Jun →
ancient	4–13	-0.09	16%	23 Jun →
vertigo	6–13	-0.05	33%	29 Mar →
vertigo	4–0	0.11	40%	29 Mar →
inferno	5–13	-0.07	15%	29 Mar →
ancient	13–7	0.02	24%	29 Mar →
overpass	6–13	-0.01	23%	29 Mar →
dust2	9–13	0.06	32%	29 Mar →
dust2	13–11	-0.00	26%	26 Mar →
dust2	13–11	0.09	27%	10 Mar →
inferno	13–8	-0.07	20%	10 Mar →
dust2	13–7	0.01	22%	2 Mar →
vertigo	12–12	0.03	27%	2 Mar →
overpass	13–2	0.08	34%	10 Feb →
ancient	16–14	0.04	20%	8 Feb →
mirage	12–16	-0.02	27%	8 Feb →
ancient	13–10	0.04	32%	22 Oct →
train	11–13	0.03	25%	19 Oct →
vertigo	12–12	0.10	23%	12 Oct →
mirage	5–13	-0.06	22%	12 Oct →
dust2	13–11	0.09	11%	11 Oct →
overpass	2–13	-0.06	27%	11 Oct →
nuke	13–2	0.14	18%	4 Oct →
ancient	13–6	0.09	23%	4 Oct →
vertigo	13–9	0.10	28%	4 Oct →
palacio	12–12	0.03	22%	4 Oct →
golden	8–13	0.06	20%	4 Oct →
dust2	13–9	0.03	26%	30 Sept →
dust2	8–13	-0.01	28%	28 Sept →
vertigo	10–13	-0.01	27%	28 Sept →
ancient	8–13	-0.08	7%	28 Sept →
inferno	10–13	-0.08	23%	28 Sept →
inferno	16–13	-0.08	13%	23 Sept →
dust2	13–11	0.02	29%	22 Sept →
inferno	13–4	0.06	15%	21 Sept →
dust2	13–8	0.04	22%	21 Sept →
mirage	13–5	0.06	19%	21 Sept →
inferno	10–13	-0.03	21%	20 Sept →
mirage	13–5	0.04	22%	20 Sept →
nuke	13–11	-0.01	30%	20 Sept →
ancient	10–13	0.00	25%	20 Sept →
mirage	8–13	0.04	30%	19 Sept →
ancient	13–9	0.06	21%	19 Sept →
inferno	16–13	0.01	18%	18 Sept →
train	11–13	0.00	14%	17 Sept →
inferno	10–13	0.04	21%	17 Sept →
ancient	13–8	0.05	17%	17 Sept →
dust2	13–6	0.04	17%	17 Sept →
dust2	15–15	0.04	20%	16 Sept →
dust2	10–13	0.03	24%	15 Sept →
mirage	15–15	0.01	14%	15 Sept →