I.C.Weiner — CS2 Stats

76561199065110790[U:1:1104845062]✓ No bans

1,836Tracked matches43%Win rate2020Tracked since

2,295Hours in CS29Hrs last 2 wks

CSDB Rating5.7 SolidPassive Rifler

Premier CS Rating20,107Pink band · top ~8.4% of ranked players (population est.)

CSDB Leaderboard#5187 of 11637 tracked

FaceitLevel 5 · 1,138 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

20,107Peak Premier on CSDB

1,138Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,138
Next: Level 6 at 1,201 — 63 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2
Level 5 first seen 2026-08-28
Level 4 first seen 2026-08-28

Premier CS Rating

At peak — 20,107
Next: Red band at 25,000 — 4,893 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band 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

Positioning46

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateWLWLLWLWLW

Last 10 vs previous 10: +10pp win rate · -0.05 avg rating

Player DNA

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

Aim8.1

Aggression4.1

Utility4.5

Positioning4.6

Opening Duels0.9

Clutch3.4

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 87% playstyle similarity

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

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Positioning4.6

Utility4.5

Mechanics7.6

Opening Duels1.7

Win Impact2.8

Composite 5.7/10 (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-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time560ms−56ms

first ⅓ avg 616ms → last ⅓ avg 560ms

Headshot accuracy17.9%−0.5%

first ⅓ avg 18.4% → last ⅓ avg 17.9%

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

0.12Best rating — mirage 13–1

13–0Biggest win — dust2

7Longest win streak

5–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 55% over 20infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	12–12	50%	-0.00
mirage	A	20	11–9	55%	0.00
ancient	B	13	7–6	54%	-0.03
nuke	B	13	7–6	54%	-0.02
cache	C	12	5–7	42%	-0.01
anubis	C	9	4–5	44%	-0.03
inferno	D	9	3–6	33%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,940Lifetime kills

0.93K/D

3,217Matches

42.7%Match win rate

44.8%Headshot %

7.7%Shot accuracy

6,397MVPs

1,244Hours (in match)

3,294Bombs planted

742Bombs defused

Most-used weapons

AK-4721,426

M4A4 / M4A1-S11,750

AWP4,461

P2000 / USP-S3,177

Glock-182,654

Desert Eagle2,050

Galil AR2,038

MP92,015

MAC-101,314

SSG 08912

Lifetime map wins

8,602dust2

2,387nuke

2,324inferno

1,125vertigo

228train

2ar_shoots

2ar_baggage

1italy

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

Faceit stats

Combat

113Matches

50%Win rate

1.05Avg K/D

81.9ADR

46%Headshot %

Clutches & streaks

37%1v1 clutch win

27%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	35	43%	1.07	15.7
Dust2	25	52%	1.08	15.9
Anubis	18	56%	1.15	18.9
Inferno	13	69%	1.14	16.5
Ancient	13	54%	0.81	12.2
Nuke	7	14%	0.92	15.4
Train	2	50%	0.74	15.0

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.

18.2%Headshot accuracy

39.0%Accuracy (enemy spotted)

36.6%Spray accuracy

84.0%Counter-strafing

9.4°Preaim

561msReaction time

23.8%T opening success

43.2%CT opening success

0.44Enemies flashed / flash

5.8%Flash assists

10.13HE damage / grenade

6.30Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4386 — below the 0.5 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 23.7552% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–10	0.02	13%	28 Aug →
ancient	9–13	-0.07	22%	28 Aug →
nuke	13–6	-0.03	15%	27 Aug →
nuke	7–13	-0.02	19%	26 Aug →
nuke	10–13	-0.07	21%	26 Aug →
dust2	13–4	-0.02	18%	26 Aug →
ancient	6–13	-0.06	14%	25 Aug →
nuke	13–8	0.01	25%	25 Aug →
mirage	4–13	0.04	17%	25 Aug →
anubis	13–9	-0.09	26%	24 Aug →
ancient	13–7	-0.01	22%	24 Aug →
nuke	3–13	-0.07	27%	24 Aug →
mirage	13–1	0.12	13%	24 Aug →
dust2	11–13	0.03	18%	24 Aug →
cache	6–13	0.08	15%	22 Aug →
dust2	13–10	0.04	20%	21 Aug →
nuke	13–6	0.01	11%	21 Aug →
nuke	11–13	0.00	26%	20 Aug →
dust2	7–13	-0.01	19%	20 Aug →
cache	6–13	-0.02	15%	20 Aug →
dust2	4–13	-0.04	15%	20 Aug →
dust2	8–13	-0.05	4%	20 Aug →
inferno	13–10	-0.05	16%	20 Aug →
mirage	13–8	0.03	22%	20 Aug →
anubis	6–13	-0.04	22%	20 Aug →
nuke	13–9	0.02	10%	19 Aug →
dust2	7–13	0.04	16%	19 Aug →
dust2	4–13	-0.03	19%	19 Aug →
mirage	13–3	-0.01	19%	19 Aug →
mirage	10–13	-0.02	25%	19 Aug →
mirage	3–13	-0.07	12%	18 Aug →
dust2	10–13	0.00	20%	17 Aug →
dust2	9–13	0.01	15%	17 Aug →
cache	7–13	-0.04	13%	17 Aug →
mirage	6–13	-0.06	14%	15 Aug →
inferno	13–5	0.01	14%	15 Aug →
dust2	13–6	-0.00	20%	14 Aug →
mirage	13–9	-0.03	13%	14 Aug →
dust2	13–10	-0.02	14%	14 Aug →
mirage	11–13	-0.01	14%	14 Aug →
dust2	13–10	-0.07	11%	14 Aug →
dust2	6–13	-0.01	18%	12 Aug →
cache	13–10	0.01	35%	12 Aug →
ancient	13–7	-0.06	15%	12 Aug →
inferno	15–15	0.05	18%	12 Aug →
anubis	3–13	0.03	15%	12 Aug →
anubis	9–13	-0.02	17%	10 Aug →
inferno	10–13	-0.03	10%	10 Aug →
nuke	13–7	0.08	20%	10 Aug →
dust2	7–13	-0.02	20%	10 Aug →
ancient	13–5	-0.01	50%	10 Aug →
nuke	11–13	-0.02	14%	7 Aug →
anubis	5–13	-0.03	13%	7 Aug →
inferno	6–13	-0.08	26%	7 Aug →
inferno	3–10	-0.08	23%	7 Aug →
ancient	16–12	0.03	17%	7 Aug →
mirage	13–11	-0.06	10%	6 Aug →
cache	7–13	-0.07	14%	6 Aug →
mirage	13–7	0.05	27%	6 Aug →
nuke	4–13	-0.09	11%	5 Aug →
cache	13–9	-0.02	19%	5 Aug →
dust2	13–8	0.07	21%	4 Aug →
ancient	6–13	0.00	20%	30 Jul →
dust2	14–16	-0.03	14%	28 Jul →
mirage	4–13	-0.03	19%	27 Jul →
cache	2–13	-0.11	0%	27 Jul →
mirage	13–7	-0.00	13%	27 Jul →
anubis	13–11	-0.04	25%	27 Jul →
dust2	2–13	-0.10	23%	27 Jul →
anubis	13–10	-0.01	12%	24 Jul →
cache	3–13	-0.05	5%	24 Jul →
inferno	16–13	-0.02	18%	24 Jul →
dust2	13–6	0.09	32%	24 Jul →
ancient	6–13	-0.11	7%	23 Jul →
dust2	16–13	0.02	9%	23 Jul →
ancient	11–13	-0.09	10%	23 Jul →
dust2	13–0	-0.02	0%	21 Jul →
ancient	16–13	-0.00	15%	20 Jul →
mirage	13–5	0.06	19%	20 Jul →
anubis	13–6	0.02	16%	20 Jul →
mirage	13–11	0.08	19%	20 Jul →
cache	13–10	0.04	34%	17 Jul →
mirage	13–9	-0.01	16%	17 Jul →
cache	14–16	0.01	13%	17 Jul →
nuke	13–4	0.00	28%	17 Jul →
inferno	15–15	-0.01	15%	16 Jul →
cache	13–11	-0.04	19%	15 Jul →
mirage	5–13	0.02	37%	15 Jul →
mirage	13–7	-0.01	24%	15 Jul →
ancient	15–15	0.03	15%	14 Jul →
dust2	13–6	-0.00	16%	14 Jul →
mirage	14–16	-0.04	32%	13 Jul →
anubis	5–13	-0.06	27%	13 Jul →
dust2	13–5	-0.03	26%	13 Jul →
inferno	11–13	-0.02	22%	13 Jul →
dust2	13–10	0.05	21%	10 Jul →
ancient	13–6	-0.03	3%	10 Jul →
nuke	13–11	-0.02	24%	10 Jul →
mirage	7–13	-0.04	15%	9 Jul →
cache	13–9	0.08	13%	9 Jul →