daniel — CS2 Stats

76561198387494877[U:1:427229149]

1,585Tracked matches34%Win rate2020Tracked since

1,065Hours in CS

CSDB Rating4.1 DevelopingPassive Rifler

Premier CS Rating14,497Blue band · top ~31.1% of ranked players (population est.)

CSDB Leaderboard#10204 of 15384 tracked

FaceitLevel 5 · 1,139 ELOTop 67.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning39

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateLLLLLLWWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim6.4

Aggression4.4

Utility3.3

Positioning3.9

Opening Duels0.0

Clutch4.6

Limited utility dependence

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 79% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 615ms 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

Aim6.4

Positioning3.9

Utility3.3

Mechanics7.4

Opening Duels0.4

Win Impact0.0

Composite 4.1/10 (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-0.03−0.03

first ⅓ avg 0.00 → last ⅓ avg -0.03

Reaction time639ms−72ms

first ⅓ avg 711ms → last ⅓ avg 639ms

Headshot accuracy24.8%+1.7%

first ⅓ avg 23.1% → last ⅓ avg 24.8%

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 — nuke 13–4

13–2Biggest win — dust2

5Longest win streak

L6Current streak

11–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 52% over 23anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	24	8–16	33%	-0.00
dust2	B	23	12–11	52%	-0.00
cache	B	16	8–8	50%	-0.03
nuke	B	12	6–6	50%	-0.01
inferno	B	12	6–6	50%	0.00
anubis	D	8	2–6	25%	-0.01
ancient	—	2	2–0	100%	0.01
office	—	1	1–0	100%	0.04
vertigo	—	1	0–1	0%	-0.00
overpass	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,326Lifetime kills

0.98K/D

3,238Matches

43.2%Match win rate

50.9%Headshot % · Top 50% of tracked players

8.7%Shot accuracy

5,933MVPs

1,065Hours (in match)

2,710Bombs planted

765Bombs defused

Most-used weapons

AK-4718,361

M4A4 / M4A1-S10,489

P2000 / USP-S3,535

Glock-183,089

AWP2,617

Desert Eagle2,500

MP91,663

MAC-101,570

FAMAS1,420

Galil AR1,407

Lifetime map wins

5,163dust2

3,198inferno

3,084nuke

798train

669vertigo

222office

117cbble

63militia

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

Faceit stats

Combat

227Matches

52%Win rate

1.04Avg K/D

70.8ADR

59%Headshot %

Clutches & streaks

43%1v1 clutch win

18%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	82	49%	1.01	13.8
Dust2	55	51%	1.02	14.5
Inferno	32	50%	1.05	14.6
Ancient	24	50%	1.04	14.8
Nuke	16	62%	0.94	14.4
Overpass	11	73%	1.31	14.0
Train	5	60%	1.75	13.0
Anubis	2	0%	0.78	12.5

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.

19.9%Headshot accuracy

29.0%Accuracy (enemy spotted)

32.4%Spray accuracy

83.1%Counter-strafing

8.6°Preaim

615msReaction time

25.8%T opening success

33.1%CT opening success

0.57Enemies flashed / flash

5.2%Flash assists

6.02HE damage / grenade

3.30Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.302 — below the 4 mark we flag
Grenade Lineups →
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 25.839% — 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.

25% win rate across 8 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
cache	6–13	-0.12	50%	1 Aug →
cache	2–13	-0.08	9%	1 Aug →
nuke	10–13	-0.04	15%	1 Aug →
mirage	10–13	-0.01	23%	1 Aug →
dust2	2–13	-0.04	17%	1 Aug →
dust2	4–13	-0.07	14%	1 Aug →
dust2	13–10	0.04	31%	31 Jul →
nuke	13–6	-0.00	18%	31 Jul →
dust2	10–0	0.07	23%	30 Jul →
dust2	13–2	0.00	18%	29 Jul →
anubis	8–13	0.03	13%	29 Jul →
anubis	11–13	-0.07	28%	29 Jul →
dust2	8–13	-0.05	22%	29 Jul →
anubis	8–13	-0.01	21%	29 Jul →
nuke	13–4	-0.07	12%	29 Jul →
cache	11–13	-0.04	13%	29 Jul →
inferno	9–13	-0.05	12%	29 Jul →
dust2	12–12	-0.04	21%	28 Jul →
anubis	9–13	-0.07	21%	28 Jul →
nuke	13–8	-0.04	23%	28 Jul →
cache	16–14	0.00	13%	27 Jul →
anubis	13–3	-0.02	20%	27 Jul →
mirage	7–13	-0.02	28%	27 Jul →
mirage	11–13	0.07	29%	27 Jul →
mirage	4–13	-0.11	13%	26 Jul →
mirage	9–13	-0.00	14%	26 Jul →
inferno	3–13	-0.04	41%	26 Jul →
mirage	16–14	-0.00	19%	25 Jul →
mirage	5–12	-0.03	19%	25 Jul →
ancient	13–8	-0.04	24%	25 Jul →
nuke	2–3	-0.11	100%	25 Jul →
anubis	7–13	-0.04	24%	25 Jul →
cache	0–6	-0.16	75%	24 Jul →
inferno	13–11	-0.01	18%	24 Jul →
dust2	4–13	-0.02	32%	23 Jul →
inferno	12–12	-0.05	27%	23 Jul →
office	13–3	0.04	11%	23 Jul →
vertigo	6–13	-0.00	28%	23 Jul →
cache	8–13	-0.07	23%	23 Jul →
dust2	9–13	0.07	26%	23 Jul →
dust2	13–2	0.02	35%	22 Jul →
cache	13–9	-0.03	30%	22 Jul →
ancient	13–10	0.06	27%	22 Jul →
anubis	11–13	0.01	21%	22 Jul →
mirage	13–6	0.07	37%	22 Jul →
dust2	13–8	0.05	26%	22 Jul →
nuke	13–2	0.05	29%	22 Jul →
cache	13–8	-0.06	16%	22 Jul →
inferno	13–11	-0.01	25%	21 Jul →
mirage	9–13	-0.03	22%	21 Jul →
inferno	9–3	0.01	22%	20 Jul →
dust2	5–13	0.01	47%	20 Jul →
mirage	13–11	0.06	27%	20 Jul →
cache	16–14	0.03	26%	20 Jul →
mirage	13–11	0.03	17%	20 Jul →
nuke	7–9	0.03	41%	20 Jul →
inferno	13–8	0.14	16%	28 Jun →
dust2	13–11	-0.04	28%	27 Jun →
nuke	7–13	0.01	28%	25 Jun →
dust2	13–4	-0.04	29%	24 Jun →
dust2	13–7	0.05	19%	24 Jun →
inferno	13–9	0.06	16%	24 Jun →
cache	13–9	0.01	27%	24 Jun →
anubis	13–6	0.07	25%	23 Jun →
mirage	9–13	0.02	21%	23 Jun →
dust2	3–13	-0.04	25%	23 Jun →
inferno	8–8	0.11	31%	23 Jun →
mirage	4–13	-0.04	25%	22 Jun →
dust2	13–9	-0.03	38%	21 Jun →
inferno	10–13	-0.01	37%	21 Jun →
nuke	6–13	-0.02	30%	21 Jun →
mirage	9–0	-0.02	20%	21 Jun →
dust2	13–11	-0.05	22%	21 Jun →
dust2	13–7	0.01	12%	21 Jun →
nuke	5–13	-0.07	40%	19 Jun →
mirage	9–13	-0.00	27%	19 Jun →
nuke	13–4	0.14	25%	19 Jun →
dust2	3–9	0.04	17%	19 Jun →
mirage	13–10	-0.04	19%	19 Jun →
cache	13–10	-0.02	30%	22 May →
mirage	11–13	-0.01	26%	22 May →
cache	13–5	-0.00	28%	22 May →
mirage	8–13	-0.04	18%	19 May →
mirage	12–12	0.04	16%	18 May →
dust2	13–11	-0.06	20%	17 May →
dust2	12–12	0.02	38%	17 May →
inferno	1–13	-0.09	30%	17 May →
mirage	7–13	-0.03	26%	17 May →
mirage	13–7	0.04	26%	16 May →
cache	13–3	0.13	13%	16 May →
mirage	10–13	-0.02	22%	16 May →
nuke	13–6	0.03	20%	16 May →
mirage	13–2	0.03	19%	16 May →
cache	5–13	-0.02	22%	14 May →
cache	12–12	-0.02	19%	3 May →
cache	9–13	0.02	26%	29 Apr →
dust2	13–16	0.06	15%	23 Apr →
overpass	13–11	0.06	20%	23 Apr →
mirage	8–13	-0.04	13%	23 Apr →
inferno	13–5	0.00	8%	22 Apr →