Big Fred The Forkie — CS2 Stats

76561198317085421[U:1:356819693]Steam profile ↗✓ No bans

622Tracked matches32%Win rate2020Tracked since

1,957Hours in CS1Hrs last 2 wks

CSDB Rating4.9 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim72

Positioning42

Utility56

0–100 skill scores via Leetify.

Recent form

COLD40–57–3Last 10040%Win rateLLLLLLWLWL

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

Player DNA

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

Aim7.2

Aggression4.8

Utility5.6

Positioning4.2

Opening Duels1.3

Clutch0.0

Effective flashes

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 89% playstyle similarity

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

Where you differ: lower positioning profile; 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

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

Reaction time. 704ms 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

Aim7.2

Positioning4.2

Utility5.6

Mechanics6.3

Opening Duels1.3

Win Impact0.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time717ms−36ms

first ⅓ avg 752ms → last ⅓ avg 717ms

Headshot accuracy30.1%+5.2%

first ⅓ avg 24.8% → last ⅓ avg 30.1%

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

0.21Best rating — alpine 5–1

13–2Biggest win — cache

3Longest win streak

L6Current streak

8–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 52% over 27infernoWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	27	14–13	52%	-0.02
cache	C	26	11–15	42%	-0.00
inferno	D	15	3–12	20%	0.01
nuke	D	10	3–7	30%	-0.00
mirage	C	7	3–4	43%	0.02
anubis	B	6	3–3	50%	-0.00
vertigo	—	3	1–2	33%	0.06
overpass	—	2	0–2	0%	-0.01
office	—	2	1–1	50%	-0.00
alpine	—	1	1–0	100%	0.21
ancient	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,568Lifetime kills

0.99K/D

2,175Matches

40.0%Match win rate

45.0%Headshot % · Top 50% of tracked players

12.5%Shot accuracy · Top 50% of tracked players

3,773MVPs

757Hours (in match)

2,029Bombs planted

445Bombs defused

Most-used weapons

AK-477,699

AWP7,132

M4A4 / M4A1-S3,965

Desert Eagle3,355

P2000 / USP-S2,231

Glock-181,264

P250899

Tec-9864

SSG 08655

MP9491

Lifetime map wins

5,523dust2

2,511inferno

746nuke

501office

334vertigo

270train

206cbble

40lake

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

Faceit stats

Combat

5Matches

0%Win rate

0.47Avg K/D

67.7ADR

33%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

28.5%Headshot accuracy

35.9%Accuracy (enemy spotted)

42.7%Spray accuracy

78.5%Counter-strafing

11.5°Preaim

704msReaction time

32.1%T opening success

38.3%CT opening success

0.74Enemies flashed / flash

5.4%Flash assists

7.77HE damage / grenade

5.01Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 703.6806ms — above the 700ms mark we flag
Aim Training →
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 32.135% — 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.

20% win rate across 15 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
dust2	6–13	-0.04	39%	25 Aug →
mirage	4–13	0.05	27%	19 Jun →
dust2	1–13	-0.05	35%	16 Jun →
nuke	1–3	-0.05	33%	8 Jun →
dust2	5–13	-0.10	25%	8 Jun →
cache	5–13	-0.10	25%	5 Jun →
vertigo	13–4	0.18	35%	5 Jun →
vertigo	10–13	-0.02	30%	4 Jun →
dust2	13–5	0.03	50%	27 May →
dust2	1–13	-0.11	38%	26 May →
dust2	14–16	-0.02	50%	25 May →
dust2	13–5	-0.08	31%	24 May →
inferno	12–12	0.01	20%	23 May →
overpass	4–13	0.04	26%	20 May →
nuke	11–13	0.03	24%	20 May →
dust2	13–8	0.00	38%	18 May →
inferno	8–13	-0.03	28%	18 May →
anubis	13–8	0.00	20%	18 May →
inferno	9–13	0.00	12%	13 May →
mirage	13–5	0.03	13%	13 May →
cache	3–13	0.00	27%	13 May →
inferno	13–11	-0.03	14%	12 May →
inferno	7–13	0.06	11%	12 May →
cache	4–13	-0.04	16%	12 May →
cache	10–13	0.08	19%	12 May →
cache	2–13	-0.07	36%	11 May →
cache	5–13	0.03	53%	11 May →
cache	13–3	-0.03	40%	11 May →
cache	13–6	0.01	26%	11 May →
anubis	15–15	-0.00	27%	10 May →
cache	4–13	-0.06	15%	10 May →
cache	13–8	-0.03	25%	9 May →
alpine	5–1	0.21	83%	8 May →
cache	8–13	-0.04	16%	8 May →
cache	5–1	0.09	38%	7 May →
anubis	8–13	0.03	42%	7 May →
cache	9–13	-0.03	35%	7 May →
cache	8–13	-0.04	15%	5 May →
cache	3–13	-0.00	15%	4 May →
cache	13–11	0.08	25%	4 May →
cache	8–13	0.01	14%	4 May →
cache	13–10	0.08	24%	1 May →
cache	13–10	-0.04	23%	1 May →
cache	7–13	-0.04	14%	1 May →
cache	13–7	-0.04	10%	1 May →
cache	8–13	-0.00	28%	30 Apr →
cache	13–10	0.06	27%	29 Apr →
cache	5–13	0.01	19%	29 Apr →
cache	13–10	0.02	40%	29 Apr →
cache	13–2	-0.00	7%	29 Apr →
overpass	6–13	-0.05	15%	28 Apr →
dust2	6–3	-0.06	13%	28 Apr →
inferno	9–13	0.03	29%	28 Apr →
nuke	13–8	0.01	23%	28 Apr →
dust2	6–13	-0.07	17%	27 Apr →
inferno	5–13	-0.06	15%	27 Apr →
nuke	13–7	0.04	9%	26 Apr →
nuke	9–13	-0.01	25%	24 Apr →
dust2	13–11	-0.01	36%	24 Apr →
inferno	11–13	-0.02	25%	24 Apr →
office	11–13	0.01	38%	24 Apr →
mirage	8–13	-0.01	40%	24 Apr →
dust2	13–6	0.10	26%	22 Apr →
inferno	5–13	0.02	41%	21 Apr →
nuke	4–13	0.00	24%	21 Apr →
dust2	13–6	0.01	30%	21 Apr →
dust2	14–16	-0.03	25%	20 Apr →
inferno	13–16	-0.02	20%	19 Apr →
dust2	13–11	-0.01	24%	19 Apr →
nuke	14–16	-0.01	40%	19 Apr →
dust2	13–9	-0.03	22%	19 Apr →
inferno	2–13	-0.04	29%	18 Apr →
dust2	13–8	-0.02	29%	18 Apr →
office	13–8	-0.02	17%	17 Apr →
inferno	10–13	0.00	22%	17 Apr →
dust2	13–11	-0.01	14%	17 Apr →
dust2	13–9	0.05	19%	16 Apr →
dust2	6–13	-0.09	20%	15 Apr →
inferno	11–13	0.03	19%	15 Apr →
vertigo	5–13	0.03	20%	13 Apr →
dust2	9–13	-0.00	30%	12 Apr →
ancient	8–13	-0.02	15%	12 Apr →
dust2	16–13	-0.01	14%	9 Apr →
mirage	13–16	-0.00	43%	8 Apr →
dust2	5–13	0.00	34%	8 Apr →
dust2	8–13	-0.11	33%	7 Apr →
dust2	13–11	-0.02	25%	7 Apr →
anubis	13–10	-0.00	26%	6 Apr →
mirage	13–6	-0.02	21%	6 Apr →
dust2	14–16	-0.01	21%	3 Apr →
nuke	13–3	0.05	20%	3 Apr →
anubis	16–14	0.01	27%	3 Apr →
nuke	10–13	-0.04	21%	2 Apr →
mirage	2–13	0.07	24%	2 Apr →
inferno	13–10	0.04	21%	1 Apr →
inferno	13–11	0.09	19%	31 Mar →
dust2	10–13	0.01	21%	30 Mar →
anubis	15–15	-0.05	30%	30 Mar →
nuke	9–13	-0.01	30%	30 Mar →
mirage	9–0	-0.01	50%	30 Mar →