DoiderA — CS2 Stats

JP76561197975587216[U:1:15321488]Steam profile ↗✓ No bans

7,002Tracked matches53%Win rate2020Tracked since

7,215Hours in CS

CSDB Rating5.2 Developing

Premier CS Rating17,961Purple band · top ~16.6% of ranked players (population est.)

CSDB Leaderboard#27277 of 56294 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=230), 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 1 median	Level 2 median	vs Level 2
Headshot rate	34.4%	41.1%	41.2%	6.7% short
Shot accuracy	11.4%	14.1%	12.5%	1.2% short
Kill/death ratio	0.84	0.97	0.96	0.13 short
Match win rate	46.8%	41.9%	42.8%	above

This profile matches the typical Level 2 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim37

Positioning54

Utility67

0–100 skill scores via Leetify.

Recent form

COLD56–40–4Last 10056%Win rateLWLWLLLWLL

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

Player DNA

Aim3.7

Aggression7.7

Utility6.7

Positioning5.4

Opening Duels3.9

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 iM 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 585ms 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

Aim3.7

Positioning5.4

Utility6.7

Mechanics6.5

Opening Duels3.9

Win Impact6.1

Composite 5.2/10 (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 time590ms+5ms

first ⅓ avg 585ms → last ⅓ avg 590ms

Headshot accuracy12.9%+0.8%

first ⅓ avg 12.1% → last ⅓ avg 12.9%

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

0.13Best rating — ancient 13–4

13–1Biggest win — inferno

6Longest win streak

6–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 71% over 7anubisWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	29	18–11	62%	0.00
ancient	B	22	11–11	50%	0.01
nuke	S	18	12–6	67%	0.01
dust2	C	14	6–8	43%	-0.02
anubis	C	8	3–5	38%	-0.00
cache	S	7	5–2	71%	0.02
mirage	—	1	0–1	0%	-0.03
train	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

269,042Lifetime kills

0.84K/D

16,132Matches

46.8%Match win rate · Top 25% of Level 1 players

34.4%Headshot %

11.4%Shot accuracy

25,354MVPs

7,215Hours (in match)

18,443Bombs planted

2,389Bombs defused

Most-used weapons

AK-4785,581

M4A4 / M4A1-S47,783

P9017,117

P2000 / USP-S11,598

Glock-189,547

Galil AR9,115

Knife8,941

AWP8,037

FAMAS7,985

MAC-107,935

Lifetime map wins

46,730inferno

17,574nuke

13,372dust2

5,898vertigo

4,424train

266office

212cbble

163italy

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

Faceit stats

Combat

28Matches

21%Win rate

0.66Avg K/D

—ADR

30%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsWLLWL

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

31.8%Accuracy (enemy spotted)

35.0%Spray accuracy

79.1%Counter-strafing

15.5°Preaim

585msReaction time

40.2%T opening success

51.3%CT opening success

0.63Enemies flashed / flash

19.8%Flash assists

9.25HE damage / grenade

11.81Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 15.5374° — above the 12° mark we flag
Aim Training →
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 12.2897% — below the 15% mark we flag
Aim Training →

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.

38% win rate across 8 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
dust2	4–13	-0.05	4%	31 Aug →
nuke	13–11	-0.01	17%	31 Aug →
anubis	11–13	-0.02	7%	30 Aug →
cache	13–6	-0.01	14%	30 Aug →
ancient	11–13	-0.02	13%	30 Aug →
cache	6–13	0.03	14%	30 Aug →
inferno	6–13	-0.04	14%	30 Aug →
ancient	13–7	-0.03	13%	30 Aug →
inferno	14–16	0.02	6%	30 Aug →
ancient	9–13	0.00	20%	29 Aug →
nuke	13–8	0.02	9%	29 Aug →
inferno	16–13	-0.03	9%	29 Aug →
dust2	13–10	-0.06	12%	29 Aug →
inferno	11–13	0.03	14%	29 Aug →
anubis	6–13	-0.01	13%	28 Aug →
inferno	13–7	-0.05	4%	27 Aug →
nuke	11–13	-0.00	14%	27 Aug →
inferno	13–6	0.12	18%	26 Aug →
ancient	10–13	0.03	10%	26 Aug →
inferno	5–13	-0.03	17%	26 Aug →
ancient	13–4	0.13	20%	25 Aug →
nuke	13–4	0.00	12%	25 Aug →
inferno	13–9	0.01	10%	25 Aug →
ancient	6–13	-0.02	9%	25 Aug →
dust2	13–8	-0.01	9%	25 Aug →
cache	13–5	-0.01	23%	25 Aug →
anubis	5–13	-0.05	15%	25 Aug →
ancient	13–10	-0.06	11%	25 Aug →
nuke	13–8	0.02	14%	25 Aug →
anubis	13–11	-0.01	12%	25 Aug →
ancient	13–11	0.02	22%	25 Aug →
inferno	13–3	-0.04	13%	24 Aug →
inferno	13–1	0.05	16%	24 Aug →
anubis	10–13	-0.05	20%	24 Aug →
ancient	13–9	0.03	10%	24 Aug →
dust2	11–13	-0.03	7%	24 Aug →
dust2	13–11	0.00	15%	23 Aug →
anubis	13–10	0.07	14%	23 Aug →
dust2	13–2	0.06	14%	23 Aug →
inferno	8–13	-0.03	10%	23 Aug →
nuke	13–11	0.04	16%	23 Aug →
inferno	11–13	0.04	11%	22 Aug →
dust2	13–6	0.03	11%	22 Aug →
nuke	13–2	-0.02	14%	22 Aug →
cache	13–1	0.07	13%	22 Aug →
dust2	15–15	-0.05	9%	21 Aug →
nuke	13–3	0.11	18%	21 Aug →
ancient	13–3	0.08	12%	21 Aug →
inferno	13–8	-0.01	6%	20 Aug →
inferno	10–4	0.02	11%	20 Aug →
dust2	15–15	-0.04	9%	20 Aug →
ancient	10–13	0.01	11%	20 Aug →
inferno	13–7	-0.02	20%	19 Aug →
ancient	13–2	0.01	14%	19 Aug →
ancient	13–5	-0.06	15%	19 Aug →
inferno	13–4	0.09	15%	19 Aug →
mirage	7–13	-0.03	25%	19 Aug →
inferno	13–10	0.01	8%	19 Aug →
ancient	4–13	-0.03	6%	19 Aug →
nuke	13–4	0.07	15%	18 Aug →
inferno	13–11	0.01	20%	18 Aug →
inferno	13–5	0.05	18%	18 Aug →
ancient	6–13	-0.04	12%	18 Aug →
inferno	8–13	-0.05	10%	18 Aug →
dust2	5–13	-0.01	10%	18 Aug →
ancient	9–13	0.01	10%	18 Aug →
inferno	13–8	0.03	11%	18 Aug →
nuke	7–13	0.04	7%	18 Aug →
train	13–7	-0.04	6%	17 Aug →
inferno	8–13	0.03	8%	17 Aug →
cache	9–0	0.13	19%	17 Aug →
ancient	13–4	0.04	14%	17 Aug →
inferno	7–13	-0.05	10%	16 Aug →
ancient	15–15	-0.03	14%	16 Aug →
ancient	13–16	0.03	12%	16 Aug →
nuke	13–3	0.08	9%	15 Aug →
dust2	11–13	-0.04	9%	15 Aug →
nuke	13–10	0.04	9%	15 Aug →
anubis	10–13	0.03	12%	15 Aug →
nuke	3–13	-0.07	13%	15 Aug →
cache	15–15	-0.05	9%	15 Aug →
nuke	13–3	-0.02	10%	15 Aug →
ancient	7–13	0.01	14%	15 Aug →
nuke	6–13	-0.07	10%	15 Aug →
inferno	3–13	0.04	14%	15 Aug →
inferno	16–13	-0.00	11%	15 Aug →
inferno	5–13	-0.08	4%	15 Aug →
nuke	6–13	-0.05	19%	14 Aug →
inferno	13–7	-0.01	18%	14 Aug →
dust2	14–16	-0.01	18%	14 Aug →
ancient	13–6	-0.02	15%	14 Aug →
nuke	13–4	0.03	14%	14 Aug →
dust2	13–9	-0.04	13%	14 Aug →
inferno	13–7	0.02	16%	14 Aug →
inferno	13–3	-0.05	11%	14 Aug →
anubis	13–5	0.04	5%	14 Aug →
nuke	10–13	-0.02	10%	14 Aug →
dust2	11–13	-0.08	14%	14 Aug →
ancient	13–1	0.05	13%	14 Aug →
cache	13–5	-0.00	19%	14 Aug →