Flipdog: Torn wide open — CS2 Stats

SA76561197999648153[U:1:39382425]Steam profile ↗✓ No bans

5,446Tracked matches53%Win rate2020Tracked since

11,586Hours in CS13Hrs last 2 wks

CSDB Rating5.7 SolidPassive Rifler

Premier CS Rating25,491Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#1719 of 12716 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning38

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLWWLWLLLWW

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

Player DNA

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

Aim7.0

Aggression3.8

Utility5.9

Positioning3.8

Opening Duels1.1

Clutch3.6

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 86% playstyle similarity

Most alike: utility contribution, 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 32 points — deaths here waste a strong aim profile.

Reaction time. 631ms 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

Aim7.0

Positioning3.8

Utility5.9

Mechanics6.1

Opening Duels1.2

Win Impact6.1

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time644ms+42ms

first ⅓ avg 601ms → last ⅓ avg 644ms

Headshot accuracy19.7%+5.4%

first ⅓ avg 14.3% → last ⅓ avg 19.7%

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

0.16Best rating — dust2 13–1

13–0Biggest win — ancient

6Longest win streak

6–12In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 56% over 9infernoWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	10–9	53%	0.03
dust2	B	17	8–9	47%	0.03
nuke	B	17	9–8	53%	0.03
inferno	C	16	6–10	38%	0.02
anubis	B	13	7–6	54%	0.04
cache	A	9	5–4	56%	0.02
ancient	C	7	3–4	43%	0.01
office	—	1	0–1	0%	0.01
overpass	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

274,479Lifetime kills

1.02K/D

14,620Matches

49.1%Match win rate · Top 50% of tracked players

37.8%Headshot %

15.4%Shot accuracy · Top 50% of tracked players

33,900MVPs

6,038Hours (in match)

8,634Bombs planted

3,221Bombs defused

Most-used weapons

AK-4780,764

M4A4 / M4A1-S47,905

AWP40,092

P2000 / USP-S17,154

Desert Eagle15,519

Glock-1811,411

Tec-97,383

MP95,573

MAC-105,340

P2505,181

Lifetime map wins

24,859inferno

14,640office

12,810dust2

11,184nuke

8,826train

5,241vertigo

4,542cbble

151lake

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

Faceit stats

Combat

561Matches

53%Win rate

1.13Avg K/D

83.8ADR

36%Headshot %

Clutches & streaks

38%1v1 clutch win

5%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	57	40%	1.17	17.0
Anubis	50	62%	1.17	16.5
Ancient	43	53%	1.10	15.9
Vertigo	37	51%	1.08	17.2
Nuke	34	47%	1.18	17.2
Mirage	33	45%	1.09	15.4
Overpass	17	65%	1.13	17.0
Dust2	12	42%	1.22	17.8

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.

19.3%Headshot accuracy

37.8%Accuracy (enemy spotted)

40.9%Spray accuracy

77.6%Counter-strafing

10.7°Preaim

631msReaction time

29.6%T opening success

39.2%CT opening success

0.72Enemies flashed / flash

5.1%Flash assists

7.80HE damage / grenade

12.21Flashes / 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 29.617% — 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.

38% win rate across 16 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
mirage	5–13	-0.03	10%	24 Aug →
dust2	13–9	0.06	19%	24 Aug →
mirage	13–4	0.10	15%	24 Aug →
mirage	7–13	0.04	21%	21 Aug →
cache	13–5	0.05	20%	21 Aug →
nuke	5–13	-0.00	15%	21 Aug →
cache	8–13	-0.01	21%	19 Aug →
dust2	9–13	0.00	15%	19 Aug →
nuke	13–3	0.05	9%	19 Aug →
anubis	13–5	0.02	23%	15 Aug →
mirage	13–8	0.07	22%	15 Aug →
ancient	6–13	0.01	17%	15 Aug →
cache	13–11	0.05	48%	15 Aug →
inferno	13–10	0.01	21%	14 Aug →
nuke	13–4	0.03	15%	14 Aug →
mirage	11–13	0.05	17%	14 Aug →
dust2	11–13	-0.03	20%	14 Aug →
mirage	13–6	0.11	27%	14 Aug →
inferno	13–6	0.08	11%	14 Aug →
ancient	3–2	-0.05	50%	14 Aug →
mirage	13–7	-0.01	16%	14 Aug →
dust2	13–1	0.16	22%	14 Aug →
anubis	13–2	0.11	20%	14 Aug →
nuke	11–13	-0.02	15%	14 Aug →
dust2	10–13	0.06	17%	14 Aug →
office	11–13	0.01	15%	11 Aug →
nuke	5–13	-0.04	27%	11 Aug →
dust2	9–1	-0.04	41%	11 Aug →
ancient	10–13	-0.00	13%	10 Aug →
anubis	5–13	0.03	5%	10 Aug →
dust2	13–2	-0.05	23%	10 Aug →
inferno	10–13	-0.06	10%	10 Aug →
inferno	13–7	0.02	11%	9 Aug →
mirage	6–13	0.01	11%	9 Aug →
nuke	13–3	0.05	13%	9 Aug →
mirage	13–5	0.03	13%	9 Aug →
inferno	8–13	-0.01	15%	9 Aug →
nuke	1–13	-0.01	19%	8 Aug →
anubis	16–12	0.08	13%	7 Aug →
inferno	6–13	-0.02	19%	6 Aug →
nuke	13–1	0.11	9%	6 Aug →
cache	13–8	-0.04	14%	6 Aug →
nuke	5–13	0.01	5%	6 Aug →
anubis	7–13	0.02	13%	6 Aug →
mirage	16–14	0.01	15%	4 Aug →
anubis	13–9	-0.03	5%	4 Aug →
dust2	5–13	-0.02	8%	2 Aug →
inferno	13–8	0.05	22%	2 Aug →
dust2	11–13	0.05	9%	1 Aug →
nuke	13–10	0.01	5%	1 Aug →
ancient	13–7	0.08	14%	1 Aug →
anubis	13–3	0.07	17%	1 Aug →
inferno	13–8	0.08	20%	1 Aug →
mirage	13–7	0.06	16%	1 Aug →
inferno	7–13	-0.00	14%	1 Aug →
nuke	13–4	-0.00	21%	1 Aug →
mirage	13–11	0.01	18%	1 Aug →
mirage	11–13	-0.04	17%	1 Aug →
dust2	13–4	0.13	32%	1 Aug →
ancient	5–13	0.03	19%	1 Aug →
mirage	15–15	0.06	17%	1 Aug →
inferno	14–16	0.09	15%	31 Jul →
nuke	3–13	-0.10	7%	31 Jul →
cache	13–7	0.05	12%	31 Jul →
anubis	8–13	-0.04	10%	30 Jul →
dust2	13–5	0.03	30%	30 Jul →
dust2	6–13	0.04	20%	30 Jul →
anubis	11–13	0.11	15%	30 Jul →
mirage	5–13	0.02	14%	30 Jul →
dust2	4–13	-0.03	15%	30 Jul →
nuke	13–4	0.07	17%	28 Jul →
mirage	7–13	-0.02	7%	28 Jul →
mirage	13–2	0.02	11%	28 Jul →
inferno	14–16	0.09	15%	28 Jul →
anubis	4–13	0.01	13%	28 Jul →
cache	13–9	0.04	16%	28 Jul →
nuke	13–7	0.16	11%	28 Jul →
nuke	11–13	0.13	17%	26 Jul →
cache	13–16	-0.04	9%	26 Jul →
dust2	13–11	0.04	16%	26 Jul →
dust2	13–3	0.04	14%	26 Jul →
anubis	7–13	-0.01	16%	22 Jul →
inferno	13–3	-0.00	11%	22 Jul →
inferno	11–13	-0.06	14%	22 Jul →
nuke	9–13	0.02	14%	22 Jul →
overpass	13–9	0.04	16%	21 Jul →
ancient	13–0	0.02	17%	21 Jul →
inferno	10–13	0.12	19%	21 Jul →
mirage	13–8	-0.04	27%	20 Jul →
inferno	8–13	0.04	14%	20 Jul →
cache	12–12	0.07	22%	20 Jul →
anubis	13–6	-0.01	14%	20 Jul →
mirage	11–13	0.04	8%	20 Jul →
ancient	3–13	-0.03	4%	20 Jul →
inferno	0–13	-0.04	7%	20 Jul →
nuke	13–11	0.05	17%	20 Jul →
cache	7–13	-0.01	16%	20 Jul →
dust2	8–13	0.05	15%	19 Jul →
anubis	13–4	0.10	15%	19 Jul →
dust2	8–13	0.05	17%	19 Jul →