FlakkaOG💯 — CS2 Stats

DE76561198107860301[U:1:147594573]Steam profile ↗✓ No bans

1,956Tracked matches57%Win rate2020Tracked since

6,129Hours in CS35Hrs last 2 wks

CSDB Rating6.4 SolidPositional Player

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

+57Tracked matches · now 1,956

+3.3ppWin rate · 53.3% → 56.7%

Rating over time

40Days played since 2026-06-26

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	59	67	−8
Win rate	49%	51%	−2pp
K/D	0.83	0.97	−0.14
Headshot %	45%	48%	−3pp

Measured 26 Sep 2026 → 30 Oct 2026; previous 31 Aug 2026 → 26 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 9 median	Level 10 median	vs Level 10
Headshot rate	47.4%	48.2%	50.9%	3.6% short
Shot accuracy	16.1%	13.2%	13.7%	above
Kill/death ratio	1.12	1.07	1.09	above
Match win rate	51.3%	46.9%	48.4%	above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim75

Positioning62

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLWWLLLWLWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −3.6pp headshot accuracy · +38ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 23%
Avg reaction 625ms

Last 10

4–6 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 21%
Avg reaction 616ms

Last 20

11–9 · 55% win rate
Avg rating -0.01
Avg headshot accuracy 23%
Avg reaction 597ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim7.5

Utility5.4

Positioning6.2

Opening Duels2.8

Clutch3.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like NiKo 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 597ms 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

Aim7.5

Positioning6.2

Utility5.4

Mechanics6.5

Opening Duels3.6

Win Impact7.2

Composite 6.4/10 (Solid), 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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time591ms−51ms

first ⅓ avg 642ms → last ⅓ avg 591ms

Headshot accuracy21.8%−2.6%

first ⅓ avg 24.4% → last ⅓ avg 21.8%

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.

Personal bests

0.12Best match rating · 13–4 · cache, 14 Jul →

64%Best headshot accuracy · 13–5 · dust2, 29 Jun →

469msFastest reaction time · 5–13 · cache, 9 Jul →

13–1Biggest win · cache, 9 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak

16–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 67% over 12nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	32	17–15	53%	0.00
ancient	B	24	12–12	50%	-0.00
cache	A	22	12–10	55%	0.02
inferno	S	12	8–4	67%	-0.00
nuke	D	7	2–5	29%	-0.02
anubis	—	1	0–1	0%	-0.06
mirage	—	1	0–1	0%	-0.01
overpass	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

129,596Lifetime kills

1.12K/D · Top 50% of Level 9 players

4,465Matches

51.3%Match win rate · Top 25% of Level 9 players

47.4%Headshot %

16.1%Shot accuracy · Top 25% of Level 9 players

13,321MVPs

2,936Hours (in match)

5,431Bombs planted

2,006Bombs defused

Most-used weapons

AK-4744,926

M4A4 / M4A1-S25,469

AWP9,096

Desert Eagle8,853

P2000 / USP-S7,981

Glock-185,080

P2503,425

Knife3,025

FAMAS2,869

Tec-92,586

Lifetime map wins

22,692inferno

14,568dust2

2,311nuke

1,369train

1,038vertigo

1,027cbble

114office

65lake

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

Faceit stats

Combat

1,888Matches

51%Win rate

1.21Avg K/D

75.7ADR

48%Headshot %

Clutches & streaks

35%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	120	48%	1.08	15.9
Ancient	95	49%	1.01	15.7
Inferno	65	55%	1.10	15.2
Cache	45	47%	1.15	16.0
Nuke	22	50%	1.07	13.4
Anubis	21	38%	1.12	14.9
Overpass	8	50%	1.05	14.0
Mirage	5	40%	0.61	9.0

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.

21.5%Headshot accuracy

33.6%Accuracy (enemy spotted)

34.2%Spray accuracy

79.2%Counter-strafing

7.9°Preaim

597msReaction time

46.6%T opening success

42.6%CT opening success

0.51Enemies flashed / flash

9.9%Flash assists

10.08HE damage / grenade

6.21Flashes / match

Recommended for you

Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	5–13	0.00	24%	29 Oct →
dust2	13–7	0.03	24%	25 Oct →
cache	13–11	0.04	28%	15 Oct →
dust2	4–13	-0.09	28%	6 Oct →
ancient	9–13	-0.05	14%	1 Oct →
ancient	10–13	-0.03	26%	30 Sept →
cache	13–11	-0.01	23%	29 Sept →
cache	10–13	-0.01	21%	27 Sept →
inferno	22–18	0.01	12%	24 Sept →
ancient	14–16	-0.02	16%	24 Sept →
dust2	13–11	-0.01	21%	24 Sept →
inferno	16–14	0.01	28%	23 Sept →
dust2	5–13	-0.08	42%	23 Sept →
dust2	13–8	0.05	21%	13 Sept →
inferno	13–10	0.06	21%	13 Sept →
cache	13–10	0.04	20%	13 Sept →
inferno	7–13	-0.04	24%	10 Sept →
dust2	11–13	-0.05	24%	10 Sept →
cache	13–9	0.03	25%	7 Sept →
inferno	16–14	-0.05	25%	7 Sept →
dust2	13–7	0.04	20%	6 Sept →
inferno	13–5	0.05	18%	6 Sept →
ancient	7–13	-0.03	16%	6 Sept →
dust2	13–10	-0.02	26%	6 Sept →
dust2	3–13	0.01	24%	6 Sept →
dust2	13–11	0.04	21%	5 Sept →
ancient	13–10	0.02	23%	5 Sept →
cache	7–13	0.02	20%	5 Sept →
cache	13–8	0.05	18%	5 Sept →
nuke	10–13	0.00	6%	5 Sept →
inferno	11–13	0.00	25%	28 Aug →
inferno	10–13	-0.01	15%	25 Aug →
inferno	6–13	0.00	23%	23 Aug →
cache	7–13	0.03	20%	20 Aug →
cache	13–4	0.06	28%	20 Aug →
dust2	10–13	-0.05	15%	20 Aug →
dust2	13–16	0.00	23%	19 Aug →
dust2	13–9	-0.01	11%	19 Aug →
cache	9–13	0.01	11%	19 Aug →
cache	13–11	0.01	19%	17 Aug →
cache	3–13	-0.08	22%	17 Aug →
cache	13–4	0.08	32%	17 Aug →
dust2	13–8	0.01	26%	16 Aug →
nuke	6–13	0.02	20%	16 Aug →
ancient	8–13	-0.03	26%	16 Aug →
ancient	13–16	0.01	25%	11 Aug →
dust2	6–13	-0.05	10%	10 Aug →
nuke	10–13	-0.06	12%	10 Aug →
ancient	13–11	0.01	23%	10 Aug →
dust2	13–11	-0.00	18%	9 Aug →
ancient	13–3	0.01	39%	9 Aug →
nuke	13–7	0.01	16%	9 Aug →
cache	14–16	0.03	19%	9 Aug →
ancient	9–13	0.01	21%	6 Aug →
dust2	13–11	0.10	32%	4 Aug →
ancient	13–11	0.05	15%	4 Aug →
inferno	13–9	-0.01	22%	4 Aug →
ancient	11–13	-0.01	14%	3 Aug →
dust2	8–13	-0.05	26%	3 Aug →
ancient	13–11	0.00	22%	3 Aug →
cache	14–16	0.02	24%	23 Jul →
anubis	10–13	-0.06	13%	22 Jul →
ancient	13–11	-0.03	26%	17 Jul →
dust2	8–13	0.01	35%	17 Jul →
ancient	13–10	0.03	23%	17 Jul →
cache	2–13	0.01	16%	17 Jul →
dust2	6–13	-0.05	26%	17 Jul →
cache	13–4	0.12	26%	14 Jul →
dust2	4–13	-0.00	18%	14 Jul →
ancient	15–15	-0.02	23%	14 Jul →
dust2	13–8	0.02	27%	14 Jul →
dust2	7–13	0.01	24%	13 Jul →
nuke	5–13	-0.02	36%	13 Jul →
cache	13–6	0.02	16%	13 Jul →
dust2	13–10	0.01	28%	12 Jul →
dust2	13–4	0.10	13%	12 Jul →
dust2	13–5	0.05	20%	12 Jul →
ancient	9–13	0.01	31%	12 Jul →
dust2	5–13	-0.07	19%	11 Jul →
mirage	8–13	-0.01	17%	11 Jul →
inferno	13–7	-0.01	19%	11 Jul →
ancient	16–14	-0.01	19%	11 Jul →
cache	13–4	0.03	28%	9 Jul →
cache	5–13	-0.04	32%	9 Jul →
ancient	13–10	0.03	25%	9 Jul →
cache	13–1	0.07	30%	9 Jul →
ancient	13–8	0.07	38%	2 Jul →
dust2	16–19	0.01	22%	2 Jul →
nuke	13–5	0.01	30%	2 Jul →
dust2	13–10	0.03	18%	29 Jun →
inferno	13–8	-0.02	33%	29 Jun →
dust2	13–5	0.05	64%	29 Jun →
dust2	11–13	0.03	14%	29 Jun →
ancient	3–13	-0.05	29%	29 Jun →
ancient	13–9	0.03	19%	29 Jun →
nuke	5–13	-0.07	15%	28 Jun →
ancient	13–6	-0.01	15%	28 Jun →
cache	11–13	-0.04	18%	28 Jun →
overpass	13–11	0.02	18%	28 Jun →
dust2	25–23	0.03	21%	26 Jun →