shine ツ -iwnl- — CS2 Stats

DE76561198357685896[U:1:397420168]Steam profile ↗✓ No bans

1,614Tracked matches43%Win rate2020Tracked since

1,983Hours in CS

CSDB Rating5.5 SolidAggressive Rifler

CSDB Leaderboard#5115 of 5365 tracked

FaceitLevel 7 · 1,613 ELOTop 42.3% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Rating over time

1,613Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,613
Next: Level 9 at 1,751 — 138 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-08-28
Level 7 first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim81

Positioning54

Utility37

0–100 skill scores via Leetify.

Recent form

COLD46–53–1Last 10046%Win rateLLLWWLWLLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim8.1

Aggression7.2

Utility3.7

Positioning5.4

Opening Duels2.6

Clutch3.4

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 ropz 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 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

Aim8.1

Positioning5.4

Utility3.7

Mechanics7.7

Opening Duels2.6

Win Impact2.8

Composite 5.5/10 (Solid), 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+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time640ms+22ms

first ⅓ avg 618ms → last ⅓ avg 640ms

Headshot accuracy20.8%−0.2%

first ⅓ avg 21.1% → last ⅓ avg 20.8%

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

0.13Best rating — nuke 13–5

13–0Biggest win — inferno

3Longest win streak

L3Current streak

7–15In matches decided by ≤2 rounds

15Overtime games

Map breakdown

infernoBest map · 57% over 21dust2Weakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	21	12–9	57%	-0.01
anubis	A	21	12–9	57%	-0.01
cache	B	20	9–11	45%	-0.03
dust2	C	14	5–9	36%	-0.02
nuke	C	13	5–8	38%	-0.01
overpass	C	7	3–4	43%	-0.01
mirage	—	4	0–4	0%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,343Lifetime kills

0.97K/D

4,882Matches

45.4%Match win rate

46.5%Headshot % · Top 50% of tracked players

15.6%Shot accuracy · Top 25% of tracked players

12,245MVPs

1,983Hours (in match)

3,111Bombs planted

956Bombs defused

Most-used weapons

AK-4730,848

M4A4 / M4A1-S16,733

Desert Eagle6,955

AWP6,630

P2000 / USP-S5,056

Glock-183,650

FAMAS2,019

Galil AR1,980

Knife1,659

P2501,649

Lifetime map wins

9,425inferno

4,664dust2

2,954nuke

2,639train

2,086vertigo

1,208cbble

1,153militia

304office

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

Faceit stats

Combat

1,350Matches

49%Win rate

1.05Avg K/D

74.2ADR

46%Headshot %

Clutches & streaks

37%1v1 clutch win

15%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	176	49%	0.89	14.4
Anubis	135	50%	0.91	14.5
Dust2	84	42%	0.84	13.8
Nuke	81	48%	0.88	14.4
Overpass	54	44%	0.85	13.9
Mirage	47	45%	0.87	14.2
Ancient	29	34%	0.83	13.5
Train	27	59%	0.87	14.8

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.

20.3%Headshot accuracy

35.8%Accuracy (enemy spotted)

42.7%Spray accuracy

84.9%Counter-strafing

8.8°Preaim

616msReaction time

45.1%T opening success

35.8%CT opening success

0.44Enemies flashed / flash

2.6%Flash assists

7.92HE damage / grenade

4.62Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.441 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 35.8008% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	17–19	-0.05	25%	2 Aug →
inferno	2–7	-0.04	29%	1 Aug →
mirage	11–13	0.00	16%	12 Jul →
anubis	13–1	0.03	32%	12 Jul →
cache	13–4	-0.03	18%	10 Jul →
anubis	9–13	-0.06	26%	10 Jul →
anubis	13–6	0.05	20%	10 Jul →
inferno	9–13	-0.06	10%	10 Jul →
cache	1–13	-0.05	18%	10 Jul →
anubis	14–16	-0.12	17%	10 Jul →
cache	13–5	0.02	14%	10 Jul →
inferno	13–8	-0.03	13%	5 Jul →
anubis	11–13	-0.02	7%	5 Jul →
anubis	13–11	-0.05	18%	5 Jul →
inferno	13–8	0.05	19%	5 Jul →
overpass	14–16	-0.03	13%	3 Jul →
cache	17–19	-0.02	23%	14 Jun →
nuke	10–13	-0.03	30%	13 Jun →
nuke	7–13	-0.01	18%	13 Jun →
anubis	13–5	0.08	25%	13 Jun →
nuke	13–6	0.02	25%	13 Jun →
inferno	9–13	-0.01	21%	12 Jun →
nuke	5–13	-0.04	24%	12 Jun →
dust2	7–13	-0.03	18%	11 Jun →
anubis	13–11	0.01	17%	11 Jun →
dust2	19–17	0.08	23%	11 Jun →
dust2	10–13	-0.02	31%	11 Jun →
anubis	14–16	0.01	10%	11 Jun →
nuke	13–5	0.13	32%	10 Jun →
anubis	19–15	-0.02	25%	10 Jun →
anubis	17–19	-0.03	23%	10 Jun →
overpass	6–13	-0.03	26%	10 Jun →
nuke	7–13	-0.06	22%	9 Jun →
cache	13–7	-0.00	26%	9 Jun →
inferno	13–8	0.01	17%	8 Jun →
inferno	7–13	-0.02	23%	8 Jun →
inferno	6–13	-0.03	37%	8 Jun →
cache	13–8	-0.05	18%	22 May →
anubis	6–13	0.03	26%	22 May →
inferno	13–10	-0.02	13%	22 May →
cache	0–13	-0.04	24%	10 May →
cache	13–8	-0.01	22%	10 May →
cache	12–12	-0.02	21%	9 May →
cache	6–13	-0.05	39%	9 May →
cache	5–13	-0.09	33%	9 May →
dust2	11–13	-0.04	38%	6 May →
cache	13–11	-0.03	24%	5 May →
cache	10–13	-0.06	32%	5 May →
anubis	13–6	-0.07	8%	3 May →
inferno	13–10	0.03	28%	3 May →
dust2	11–13	-0.02	19%	2 May →
cache	8–13	-0.06	22%	2 May →
cache	13–5	-0.01	19%	2 May →
cache	4–13	-0.06	28%	2 May →
cache	13–10	-0.02	30%	27 Apr →
dust2	10–13	0.01	18%	27 Apr →
cache	8–13	0.00	11%	26 Apr →
dust2	13–8	0.01	20%	26 Apr →
dust2	13–8	-0.00	18%	26 Apr →
mirage	11–13	0.05	17%	25 Apr →
mirage	6–13	-0.05	17%	25 Apr →
inferno	13–9	0.02	20%	25 Apr →
dust2	16–13	0.01	28%	25 Apr →
dust2	6–13	-0.06	15%	25 Apr →
anubis	7–13	-0.02	22%	25 Apr →
dust2	13–11	-0.05	26%	24 Apr →
cache	13–8	-0.03	37%	24 Apr →
overpass	8–13	-0.02	19%	23 Apr →
inferno	12–16	0.01	12%	23 Apr →
inferno	13–9	0.06	25%	23 Apr →
anubis	13–6	0.00	29%	22 Apr →
inferno	13–3	0.02	18%	22 Apr →
anubis	8–13	-0.02	23%	22 Apr →
nuke	11–13	-0.07	20%	22 Apr →
anubis	13–7	-0.02	16%	16 Apr →
anubis	10–13	-0.07	12%	16 Apr →
inferno	16–14	-0.04	19%	16 Apr →
dust2	13–16	-0.01	22%	16 Apr →
mirage	8–13	-0.01	14%	13 Apr →
nuke	14–16	-0.01	38%	10 Apr →
overpass	13–10	0.03	28%	10 Apr →
nuke	10–6	-0.03	26%	10 Apr →
inferno	12–16	-0.03	25%	10 Apr →
overpass	7–13	-0.04	14%	10 Apr →
nuke	11–13	-0.00	17%	10 Apr →
anubis	13–10	-0.02	15%	10 Apr →
dust2	5–13	-0.09	29%	2 Apr →
nuke	16–13	0.01	22%	2 Apr →
inferno	11–13	-0.01	22%	1 Apr →
inferno	13–9	-0.10	15%	31 Mar →
nuke	7–13	-0.04	25%	27 Mar →
inferno	13–11	-0.08	19%	27 Mar →
dust2	7–13	-0.03	19%	27 Mar →
anubis	13–10	-0.02	11%	27 Mar →
overpass	13–9	-0.02	12%	27 Mar →
nuke	13–9	0.06	24%	25 Mar →
inferno	6–13	-0.04	36%	25 Mar →
inferno	13–0	0.10	23%	24 Mar →
overpass	13–6	0.05	17%	24 Mar →
anubis	13–3	-0.01	28%	24 Mar →