InnocentJeff — CS2 Stats

76561198132115939[U:1:171850211]✓ No bans

3,636Tracked matches53%Win rate2022Tracked since

CSDB Rating6.8 SolidHybrid Rifler

Premier CS Rating24,017Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)

CSDB Leaderboard#4399 of 22279 tracked

FaceitLevel 9 · 2,088 ELOTop 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning53

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWWLWWLWLLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim8.4

Aggression5.6

Utility5.9

Positioning5.3

Opening Duels2.5

Clutch3.2

Excellent counter-strafingStrong 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 93% playstyle similarity

Most alike: utility contribution, 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 47% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms 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

Aim8.4

Positioning5.3

Utility5.9

Mechanics8.7

Opening Duels2.5

Win Impact6.1

Composite 6.8/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time591ms−49ms

first ⅓ avg 640ms → last ⅓ avg 591ms

Headshot accuracy16.4%−1.5%

first ⅓ avg 17.9% → last ⅓ avg 16.4%

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 13–0

13–0Biggest win — mirage

6Longest win streak

W2Current streak

10–3In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 70% over 20cacheWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	22	15–7	68%	0.01
nuke	S	20	14–6	70%	0.00
ancient	B	17	8–9	47%	0.00
anubis	B	13	7–6	54%	0.02
cache	D	10	3–7	30%	0.02
dust2	C	10	4–6	40%	-0.00
overpass	—	4	2–2	50%	0.01
inferno	—	3	1–2	33%	0.01
office	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

Faceit stats

Combat

901Matches

53%Win rate

1.03Avg K/D

84.8ADR

40%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	165	45%	1.00	14.5
Ancient	115	57%	1.06	15.9
Anubis	111	57%	1.13	15.8
Vertigo	88	61%	1.06	15.5
Nuke	87	53%	1.15	16.6
Inferno	85	48%	1.03	15.0
Dust2	39	38%	0.93	15.0
Overpass	29	66%	1.01	12.8

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.

17.2%Headshot accuracy

40.7%Accuracy (enemy spotted)

40.8%Spray accuracy

88.9%Counter-strafing

9.6°Preaim

590msReaction time

32.4%T opening success

47.5%CT opening success

0.66Enemies flashed / flash

4.6%Flash assists

8.53HE damage / grenade

10.93Flashes / 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 32.4379% — below the 40% mark we flag

Spend your practice time on Cache

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	16–12	0.01	28%	20 Aug →
nuke	13–11	0.02	17%	19 Aug →
nuke	10–13	-0.02	26%	16 Aug →
ancient	13–11	0.05	11%	16 Aug →
ancient	13–11	-0.00	6%	15 Aug →
cache	5–13	0.03	9%	13 Aug →
anubis	13–9	0.06	12%	8 Aug →
mirage	6–13	-0.01	11%	2 Aug →
nuke	7–13	-0.06	11%	2 Aug →
anubis	13–4	-0.01	14%	2 Aug →
mirage	10–13	0.02	2%	1 Aug →
mirage	13–8	0.09	27%	1 Aug →
ancient	3–13	-0.03	16%	1 Aug →
cache	4–13	-0.02	19%	1 Aug →
cache	5–13	-0.08	14%	1 Aug →
cache	13–11	0.00	28%	1 Aug →
nuke	16–14	-0.04	20%	31 Jul →
ancient	6–13	0.01	14%	23 Jul →
cache	7–13	-0.01	25%	23 Jul →
nuke	13–8	0.00	33%	23 Jul →
mirage	13–8	-0.03	10%	23 Jul →
nuke	4–13	-0.05	28%	16 Jul →
nuke	4–13	0.03	11%	16 Jul →
cache	9–13	0.06	16%	16 Jul →
cache	13–9	0.13	18%	15 Jul →
cache	13–9	0.03	20%	15 Jul →
dust2	13–8	0.06	16%	15 Jul →
ancient	13–9	0.03	14%	15 Jul →
nuke	13–8	0.05	16%	15 Jul →
cache	9–13	0.05	14%	15 Jul →
ancient	5–13	-0.02	4%	14 Jul →
nuke	13–10	0.06	18%	14 Jul →
anubis	13–7	0.04	10%	12 Jul →
ancient	7–13	-0.00	9%	5 Jul →
nuke	13–5	-0.02	12%	5 Jul →
mirage	3–2	0.07	33%	5 Jul →
mirage	3–1	0.02	40%	5 Jul →
office	3–13	-0.12	0%	28 Jun →
mirage	16–12	-0.09	6%	26 Jun →
ancient	9–13	-0.00	9%	26 Jun →
ancient	6–13	-0.03	16%	25 Jun →
overpass	16–13	0.04	23%	25 Jun →
mirage	13–0	0.20	15%	25 Jun →
dust2	13–9	0.00	18%	25 Jun →
ancient	13–9	0.07	20%	25 Jun →
overpass	13–11	0.03	10%	25 Jun →
dust2	13–6	0.04	14%	24 Jun →
ancient	3–13	-0.04	10%	24 Jun →
nuke	13–7	-0.03	18%	24 Jun →
nuke	2–13	-0.03	16%	24 Jun →
dust2	12–16	-0.03	8%	22 Jun →
nuke	13–9	-0.01	16%	21 Jun →
mirage	13–0	0.00	0%	21 Jun →
ancient	13–10	-0.04	25%	21 Jun →
overpass	3–13	-0.03	14%	19 Jun →
mirage	2–0	0.00	0%	19 Jun →
mirage	13–10	0.00	20%	17 Jun →
anubis	13–7	0.06	21%	17 Jun →
inferno	10–13	-0.02	23%	16 Jun →
dust2	9–13	-0.03	32%	16 Jun →
anubis	10–13	0.03	20%	16 Jun →
nuke	13–9	0.08	16%	9 Jun →
overpass	2–7	0.01	29%	9 Jun →
mirage	13–5	-0.02	11%	4 Jun →
anubis	5–13	0.06	10%	2 Jun →
cache	9–13	0.03	17%	28 May →
anubis	13–8	-0.00	9%	10 Apr →
dust2	3–13	-0.08	20%	28 Mar →
inferno	9–13	0.05	24%	19 Mar →
anubis	4–13	-0.07	26%	17 Mar →
nuke	5–13	-0.03	13%	6 Mar →
dust2	13–10	0.08	29%	4 Mar →
mirage	13–8	0.03	18%	4 Mar →
dust2	11–13	0.01	26%	4 Mar →
anubis	14–16	0.01	15%	4 Mar →
ancient	13–9	-0.06	15%	4 Mar →
ancient	9–13	-0.01	11%	3 Mar →
mirage	10–13	-0.00	13%	3 Mar →
mirage	13–7	0.04	26%	26 Feb →
ancient	8–13	0.08	14%	1 Feb →
dust2	8–13	-0.06	23%	31 Jan →
ancient	13–8	0.03	18%	31 Jan →
anubis	11–13	-0.07	14%	30 Jan →
nuke	13–6	0.06	18%	30 Jan →
nuke	13–10	-0.07	8%	30 Jan →
anubis	12–16	0.04	20%	30 Jan →
mirage	13–9	-0.04	13%	29 Jan →
nuke	13–3	0.03	10%	29 Jan →
ancient	16–14	0.01	14%	29 Jan →
mirage	8–13	-0.04	8%	28 Jan →
mirage	9–2	0.04	19%	28 Jan →
anubis	13–9	0.06	18%	27 Jan →
anubis	13–4	0.06	22%	27 Jan →
mirage	15–15	0.01	26%	27 Jan →
nuke	13–8	0.01	23%	27 Jan →
nuke	13–10	0.03	16%	27 Jan →
dust2	3–13	-0.05	11%	27 Jan →
mirage	9–13	-0.05	18%	27 Jan →
mirage	13–8	-0.01	20%	27 Jan →
mirage	15–15	0.03	21%	26 Jan →