Fridge Cig — CS2 Stats

76561198055475850[U:1:95210122]✓ No bans

654Tracked matches61%Win rate2025Tracked since

425Hours in CS

CSDB Rating5.2 Developing

Premier CS Rating13,922Blue band · top ~34.1% of ranked players (population est.)

CSDB Leaderboard#13647 of 20400 tracked

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning52

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY53–38–9Last 10053%Win rateLWWWWWLLWT

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Aim5.6

Aggression3.9

Utility5.3

Positioning5.2

Opening Duels0.8

Clutch7.2

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 85% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: 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

T-side openings. Opening success drops from 48% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms 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

Aim5.6

Positioning5.2

Utility5.3

Mechanics5.8

Opening Duels2.3

Win Impact8.6

Composite 5.2/10 (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 rating0.01−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time558ms−65ms

first ⅓ avg 623ms → last ⅓ avg 558ms

Headshot accuracy12.0%−1.0%

first ⅓ avg 13.0% → last ⅓ avg 12.0%

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

0.18Best rating — office 13–7

13–2Biggest win — ancient

5Longest win streak

16–4In matches decided by ≤2 rounds

14Overtime games

Map breakdown

officeBest map · 60% over 5anubisWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	24	11–13	46%	0.01
inferno	A	17	10–7	59%	0.00
ancient	A	16	9–7	56%	0.02
cache	A	12	7–5	58%	0.01
anubis	C	10	4–6	40%	-0.01
office	A	5	3–2	60%	0.02
dust2	C	5	2–3	40%	-0.01
mirage	—	4	1–3	25%	-0.00
overpass	—	2	2–0	100%	0.03
vertigo	—	2	2–0	100%	0.06
debris	—	2	1–1	50%	0.10
poseidon	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,900Lifetime kills

1.08K/D · Top 50% of tracked players

1,107Matches

49.4%Match win rate · Top 25% of tracked players

34.6%Headshot %

0.0%Shot accuracy

2,041MVPs

425Hours (in match)

1,136Bombs planted

330Bombs defused

Most-used weapons

AK-475,947

M4A4 / M4A1-S4,180

AWP1,728

P2000 / USP-S1,054

Galil AR688

Glock-18663

FAMAS448

MP9409

MAC-10387

MP7284

Lifetime map wins

2,513nuke

1,635inferno

1,301dust2

635train

380office

235vertigo

113italy

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

Faceit stats

Combat

11Matches

45%Win rate

1.04Avg K/D

74.4ADR

33%Headshot %

Clutches & streaks

56%1v1 clutch win

25%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Cache	4	50%	0.91	16.0
Dust2	2	50%	0.96	13.0
Anubis	2	50%	1.66	16.0
Inferno	2	50%	1.04	14.5
Mirage	1	0%	0.50	7.0

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.

12.3%Headshot accuracy

36.7%Accuracy (enemy spotted)

35.9%Spray accuracy

75.9%Counter-strafing

12.0°Preaim

570msReaction time

18.0%T opening success

48.4%CT opening success

0.57Enemies flashed / flash

3.9%Flash assists

8.45HE damage / grenade

4.16Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.2846% — below the 15% 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 17.9869% — 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.

40% win rate across 10 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
anubis	9–13	0.03	7%	28 Aug →
nuke	13–11	0.11	11%	25 Aug →
cache	16–14	0.00	13%	25 Aug →
mirage	13–11	0.03	11%	25 Aug →
inferno	13–11	0.06	9%	24 Aug →
nuke	13–9	0.00	6%	24 Aug →
anubis	10–13	-0.04	13%	24 Aug →
nuke	10–13	-0.01	10%	23 Aug →
ancient	13–7	0.04	17%	23 Aug →
nuke	15–15	-0.01	15%	23 Aug →
cache	13–11	0.06	13%	23 Aug →
ancient	13–16	-0.07	8%	23 Aug →
office	13–7	0.18	21%	17 Aug →
anubis	13–11	-0.03	12%	17 Aug →
nuke	13–5	0.03	18%	17 Aug →
ancient	6–13	-0.02	11%	17 Aug →
inferno	13–7	0.03	20%	8 Aug →
cache	2–2	0.01	0%	8 Aug →
anubis	13–11	0.03	15%	8 Aug →
nuke	13–5	0.01	8%	8 Aug →
office	8–13	0.02	19%	8 Aug →
inferno	7–13	0.04	11%	8 Aug →
office	13–11	-0.04	10%	6 Aug →
ancient	8–13	-0.06	13%	6 Aug →
nuke	10–13	-0.03	6%	6 Aug →
nuke	16–12	-0.02	17%	5 Aug →
nuke	15–15	0.04	16%	5 Aug →
ancient	11–13	0.05	12%	5 Aug →
anubis	9–13	-0.03	9%	5 Aug →
cache	13–11	0.04	11%	5 Aug →
nuke	9–13	0.02	16%	3 Aug →
office	13–9	-0.07	8%	3 Aug →
overpass	13–10	0.02	10%	3 Aug →
poseidon	9–6	0.05	9%	3 Aug →
inferno	9–6	0.06	15%	3 Aug →
office	9–13	0.01	17%	1 Aug →
vertigo	13–6	0.03	15%	1 Aug →
cache	6–13	-0.06	13%	1 Aug →
nuke	15–15	0.05	16%	1 Aug →
nuke	6–13	-0.08	8%	1 Aug →
ancient	5–13	-0.02	12%	1 Aug →
cache	9–13	0.03	17%	28 Jul →
inferno	7–13	-0.09	12%	28 Jul →
overpass	9–5	0.04	14%	28 Jul →
inferno	2–9	-0.22	5%	28 Jul →
nuke	2–13	0.01	9%	27 Jul →
ancient	13–6	0.01	14%	27 Jul →
cache	13–7	0.07	15%	27 Jul →
vertigo	13–11	0.09	11%	27 Jul →
anubis	3–13	-0.06	17%	27 Jul →
cache	13–16	0.01	9%	25 Jul →
ancient	8–13	0.01	13%	25 Jul →
nuke	4–13	-0.07	12%	24 Jul →
anubis	13–6	0.03	13%	24 Jul →
cache	13–11	-0.01	8%	23 Jul →
ancient	13–2	0.15	18%	23 Jul →
inferno	13–8	0.00	3%	23 Jul →
anubis	15–15	-0.04	6%	22 Jul →
cache	13–8	-0.04	17%	22 Jul →
inferno	13–11	-0.03	11%	22 Jul →
inferno	8–13	-0.05	3%	22 Jul →
nuke	13–4	0.03	24%	20 Jul →
ancient	13–10	-0.01	13%	20 Jul →
inferno	13–9	0.14	14%	20 Jul →
anubis	6–13	0.00	16%	19 Jul →
dust2	8–13	-0.06	13%	19 Jul →
nuke	13–11	0.06	12%	19 Jul →
ancient	13–8	0.01	21%	19 Jul →
nuke	13–9	-0.02	5%	19 Jul →
ancient	8–1	0.06	0%	19 Jul →
inferno	8–8	-0.03	8%	19 Jul →
mirage	6–13	-0.03	18%	18 Jul →
anubis	13–11	0.05	11%	18 Jul →
inferno	13–10	-0.00	11%	18 Jul →
debris	9–4	0.11	3%	18 Jul →
nuke	7–13	-0.02	16%	17 Jul →
inferno	15–15	-0.00	9%	17 Jul →
nuke	14–16	0.02	15%	16 Jul →
inferno	13–10	0.00	10%	16 Jul →
ancient	13–2	0.03	14%	16 Jul →
nuke	13–3	0.06	8%	16 Jul →
dust2	5–13	-0.04	8%	14 Jul →
inferno	13–10	0.02	9%	14 Jul →
ancient	12–16	-0.03	15%	14 Jul →
dust2	13–11	0.05	11%	14 Jul →
ancient	13–4	-0.05	0%	14 Jul →
mirage	15–15	-0.01	12%	14 Jul →
inferno	8–13	0.02	13%	13 Jul →
mirage	2–13	-0.01	0%	13 Jul →
nuke	13–7	0.04	9%	13 Jul →
cache	9–13	-0.01	10%	13 Jul →
ancient	13–2	0.16	15%	13 Jul →
debris	8–8	0.09	8%	13 Jul →
cache	7–13	-0.00	18%	12 Jul →
dust2	5–0	0.01	100%	12 Jul →
inferno	13–9	0.05	17%	12 Jul →
nuke	13–8	-0.03	4%	12 Jul →
dust2	14–16	-0.02	12%	12 Jul →
nuke	15–15	-0.01	12%	12 Jul →
nuke	11–13	0.06	7%	12 Jul →