ongodfr — CS2 Stats

76561199078221295[U:1:1117955567]

1,975Tracked matches57%Win rate2021Tracked since

2,562Hours in CS51Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating20,466Top 50% of 29,473 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)

CSDB Leaderboard#19167 of 53887 tracked

FaceitLevel 8 · 1,229 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median	Level 9 median	vs Level 9
Headshot rate	43.3%	47.0%	48.5%	5.3% short
Shot accuracy	7.7%	12.7%	13.3%	5.5% short
Kill/death ratio	1.21	1.07	1.07	above
Match win rate	73.1%	46.4%	47.0%	above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim72

Positioning75

Utility66

0–100 skill scores via Leetify.

Recent form

HOT52–47–1Last 10052%Win rateWWWWWWLLWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.2

Aggression10.0

Utility6.6

Positioning7.5

Opening Duels5.9

Clutch3.6

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 s1mple 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Positioning7.5

Utility6.6

Mechanics4.3

Opening Duels5.9

Win Impact7.2

Composite 6.7/10 (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 rating0.03+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time493ms−55ms

first ⅓ avg 548ms → last ⅓ avg 493ms

Headshot accuracy16.4%−3.2%

first ⅓ avg 19.6% → 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

0.15Best rating — nuke 13–2

13–1Biggest win — inferno

6Longest win streak

W6Current streak

4–8In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 76% over 21anubisWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	28	13–15	46%	0.02
nuke	S	21	16–5	76%	0.04
anubis	C	15	6–9	40%	0.02
mirage	C	12	5–7	42%	-0.00
dust2	B	8	4–4	50%	-0.00
ancient	C	7	3–4	43%	-0.00
cache	A	5	3–2	60%	0.02
vertigo	—	4	2–2	50%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,627Lifetime kills

1.21K/D · Top 25% of Level 8 players

8,988Matches

73.1%Match win rate · Top 1% of Level 8 players

43.3%Headshot %

7.7%Shot accuracy

14,116MVPs

1,822Hours (in match)

5,661Bombs planted

1,155Bombs defused

Most-used weapons

AK-4724,989

AWP18,688

M4A4 / M4A1-S12,167

Desert Eagle6,187

P2000 / USP-S3,958

Glock-183,609

SSG 082,026

Galil AR2,015

Knife1,839

FAMAS1,449

Lifetime map wins

7,531inferno

7,409dust2

4,738nuke

2,318vertigo

941train

589office

116italy

104dust

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

Faceit stats

Combat

568Matches

51%Win rate

1.28Avg K/D

81.6ADR

35%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	129	55%	1.31	16.6
Inferno	122	56%	1.27	16.5
Nuke	96	58%	1.44	18.1
Mirage	82	41%	1.19	16.3
Vertigo	47	55%	1.39	16.4
Ancient	37	30%	1.06	16.8
Dust2	29	34%	1.10	15.6
Cache	15	40%	1.12	14.7

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.

16.1%Headshot accuracy

36.3%Accuracy (enemy spotted)

38.0%Spray accuracy

69.2%Counter-strafing

9.5°Preaim

493msReaction time

50.6%T opening success

57.0%CT opening success

0.68Enemies flashed / flash

13.2%Flash assists

8.00HE damage / grenade

6.70Flashes / match

Recommended for you

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 15 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
inferno	13–8	-0.00	14%	30 Aug →
inferno	13–11	0.04	15%	30 Aug →
inferno	13–7	0.05	7%	30 Aug →
nuke	13–7	0.05	30%	30 Aug →
nuke	16–12	0.13	17%	30 Aug →
nuke	16–14	0.04	10%	30 Aug →
mirage	9–13	0.06	28%	30 Aug →
nuke	13–16	-0.00	14%	29 Aug →
nuke	13–6	-0.02	29%	29 Aug →
dust2	12–16	0.01	14%	26 Aug →
nuke	11–13	0.03	29%	26 Aug →
ancient	13–3	0.06	10%	26 Aug →
inferno	7–13	0.01	15%	26 Aug →
inferno	13–5	0.02	14%	26 Aug →
mirage	5–13	0.03	8%	26 Aug →
anubis	3–13	-0.07	18%	25 Aug →
nuke	13–2	0.15	8%	25 Aug →
inferno	11–13	0.01	24%	25 Aug →
dust2	4–13	-0.07	9%	25 Aug →
nuke	16–13	0.14	13%	25 Aug →
inferno	9–13	-0.03	13%	25 Aug →
dust2	13–4	0.10	14%	24 Aug →
dust2	13–10	0.02	23%	24 Aug →
mirage	8–13	-0.02	8%	24 Aug →
inferno	13–10	0.02	15%	24 Aug →
nuke	13–10	0.01	9%	24 Aug →
anubis	13–5	0.12	22%	23 Aug →
inferno	7–13	-0.03	21%	23 Aug →
anubis	13–10	0.01	8%	23 Aug →
ancient	10–13	-0.04	21%	23 Aug →
inferno	11–13	0.05	23%	23 Aug →
dust2	16–12	-0.02	21%	23 Aug →
ancient	8–13	-0.05	18%	23 Aug →
anubis	14–16	0.00	18%	23 Aug →
mirage	13–3	-0.02	16%	23 Aug →
inferno	13–7	0.01	15%	22 Aug →
cache	16–14	-0.02	13%	22 Aug →
dust2	13–7	0.03	25%	22 Aug →
inferno	13–10	0.11	17%	22 Aug →
ancient	6–13	-0.05	12%	22 Aug →
mirage	13–8	0.02	3%	21 Aug →
nuke	8–13	-0.03	23%	21 Aug →
anubis	8–13	-0.01	5%	20 Aug →
mirage	13–10	0.05	20%	20 Aug →
inferno	13–1	0.02	24%	19 Aug →
cache	13–8	0.13	23%	19 Aug →
nuke	13–5	0.02	23%	19 Aug →
ancient	13–8	0.04	16%	19 Aug →
inferno	14–16	0.02	19%	19 Aug →
mirage	13–10	0.02	11%	18 Aug →
inferno	13–2	0.07	20%	18 Aug →
inferno	8–13	0.06	19%	18 Aug →
dust2	5–13	-0.04	16%	18 Aug →
mirage	2–13	-0.12	11%	18 Aug →
anubis	11–13	-0.00	8%	17 Aug →
nuke	13–8	0.02	17%	17 Aug →
nuke	13–5	0.08	29%	17 Aug →
anubis	13–16	-0.01	14%	16 Aug →
inferno	5–13	-0.04	14%	16 Aug →
ancient	7–13	-0.01	19%	16 Aug →
vertigo	13–7	0.06	24%	15 Aug →
anubis	13–6	0.07	21%	15 Aug →
vertigo	10–13	0.02	11%	15 Aug →
mirage	14–16	-0.02	21%	15 Aug →
inferno	10–13	0.05	14%	15 Aug →
cache	13–9	0.02	21%	13 Aug →
inferno	9–13	0.10	13%	12 Aug →
anubis	13–7	0.10	8%	11 Aug →
anubis	6–13	0.04	14%	11 Aug →
inferno	13–9	-0.00	19%	11 Aug →
inferno	8–13	-0.09	11%	9 Aug →
nuke	4–13	-0.09	29%	9 Aug →
nuke	13–10	-0.04	24%	9 Aug →
inferno	9–13	0.01	16%	9 Aug →
nuke	13–7	0.03	30%	8 Aug →
inferno	9–13	-0.06	21%	8 Aug →
inferno	13–9	0.07	13%	8 Aug →
nuke	16–13	-0.02	6%	8 Aug →
mirage	9–13	0.02	15%	8 Aug →
inferno	1–13	-0.04	17%	8 Aug →
mirage	6–5	-0.00	33%	8 Aug →
anubis	8–13	0.03	19%	7 Aug →
dust2	2–13	-0.07	22%	7 Aug →
inferno	13–5	0.02	15%	7 Aug →
cache	7–13	-0.01	22%	7 Aug →
nuke	13–5	0.05	10%	4 Aug →
vertigo	12–12	0.03	57%	3 Aug →
mirage	9–13	-0.03	14%	3 Aug →
cache	1–13	-0.02	37%	3 Aug →
anubis	4–13	-0.01	23%	3 Aug →
ancient	16–12	0.02	15%	2 Aug →
anubis	13–7	0.07	5%	2 Aug →
nuke	16–13	0.12	15%	2 Aug →
nuke	11–13	0.02	21%	2 Aug →
anubis	10–13	-0.02	5%	2 Aug →
inferno	13–8	0.10	40%	2 Aug →
inferno	13–16	-0.02	20%	2 Aug →
vertigo	13–10	0.04	20%	1 Aug →
nuke	13–10	0.12	24%	1 Aug →
anubis	10–5	-0.02	8%	1 Aug →