DonkGolian — CS2 Stats

76561198801384430[U:1:841118702]Steam profile ↗✓ No bans

1,282Tracked matches61%Win rate2023Tracked since

CSDB Rating5.8 SolidPassive Rifler

Premier CS Rating18,427Purple band · top ~14.8% of ranked players (population est.)

CSDB Leaderboard#5298 of 9839 tracked

Ladder ranks via Leetify

Rating over time

18,427Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 18,427
Next: Pink band at 20,000 — 1,573 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim73

Positioning54

Utility43

0–100 skill scores via Leetify.

Recent form

HOT61–35–4Last 10061%Win rateWTWWLWWWTW

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

Player DNA

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

Aim7.3

Aggression4.4

Utility4.3

Positioning5.4

Opening Duels0.6

Clutch0.0

Strong CT-side opener

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 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 42% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 560ms 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

Aim7.3

Positioning5.4

Utility4.3

Mechanics5.7

Opening Duels1.5

Win Impact8.6

Composite 5.8/10 (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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time576ms−51ms

first ⅓ avg 628ms → last ⅓ avg 576ms

Headshot accuracy19.2%−4.0%

first ⅓ avg 23.2% → last ⅓ avg 19.2%

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 — nuke 13–1

13–0Biggest win — train

8Longest win streak

9–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 83% over 18infernoWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	26	15–11	58%	0.02
nuke	S	18	15–3	83%	0.04
inferno	C	15	6–9	40%	0.01
cache	B	13	7–6	54%	0.02
ancient	A	13	8–5	62%	0.02
mirage	S	9	7–2	78%	0.03
anubis	—	3	1–2	33%	0.01
shelter	—	1	0–1	0%	0.04
train	—	1	1–0	100%	0.11
italy	—	1	1–0	100%	0.17

Across the last 100 tracked matches.

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

Faceit stats

Combat

19Matches

47%Win rate

0.97Avg K/D

69.5ADR

65%Headshot %

Clutches & streaks

20%1v1 clutch win

20%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	50%	0.94	19.3
Ancient	4	50%	1.12	16.5
Nuke	4	75%	0.92	14.0
Dust2	3	33%	1.24	17.7
Anubis	2	0%	0.47	10.0
Vertigo	1	100%	1.39	25.0
Inferno	1	0%	0.31	4.0

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.

19.2%Headshot accuracy

36.7%Accuracy (enemy spotted)

37.6%Spray accuracy

75.6%Counter-strafing

9.9°Preaim

560msReaction time

23.1%T opening success

42.0%CT opening success

0.42Enemies flashed / flash

9.3%Flash assists

7.98HE damage / grenade

6.35Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4213 — below the 0.5 mark we flag
Grenade Lineups →
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 23.1069% — 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.

40% win rate across 15 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
dust2	13–5	0.05	27%	28 Aug →
dust2	15–15	-0.03	26%	23 Aug →
nuke	13–11	0.04	28%	23 Aug →
nuke	13–4	-0.09	13%	23 Aug →
nuke	5–13	-0.07	15%	23 Aug →
dust2	13–7	0.05	21%	23 Aug →
dust2	13–9	-0.04	12%	23 Aug →
nuke	13–10	0.00	9%	23 Aug →
shelter	12–12	0.04	22%	23 Aug →
nuke	13–5	-0.01	14%	23 Aug →
dust2	13–7	0.10	14%	23 Aug →
cache	12–16	-0.01	18%	23 Aug →
dust2	5–13	-0.02	25%	23 Aug →
dust2	11–13	0.04	19%	22 Aug →
dust2	7–13	0.00	22%	22 Aug →
mirage	13–9	-0.01	8%	22 Aug →
dust2	13–3	-0.01	21%	22 Aug →
nuke	10–13	0.00	12%	22 Aug →
ancient	7–13	-0.09	8%	22 Aug →
anubis	13–10	0.03	20%	22 Aug →
ancient	6–13	0.01	31%	22 Aug →
inferno	13–10	-0.01	37%	22 Aug →
cache	16–13	0.13	17%	17 Aug →
inferno	10–13	-0.05	25%	17 Aug →
nuke	10–13	0.01	18%	14 Aug →
dust2	13–11	-0.00	21%	14 Aug →
inferno	14–16	0.04	24%	10 Aug →
ancient	13–8	-0.01	16%	10 Aug →
dust2	13–6	0.03	17%	9 Aug →
cache	13–4	0.02	13%	9 Aug →
mirage	13–10	-0.00	34%	8 Aug →
nuke	13–10	0.03	13%	8 Aug →
ancient	13–7	0.12	17%	4 Aug →
inferno	9–13	0.04	18%	4 Aug →
mirage	13–6	0.02	16%	2 Aug →
dust2	11–13	-0.02	21%	2 Aug →
dust2	16–14	0.04	13%	2 Aug →
nuke	9–2	0.08	7%	2 Aug →
cache	11–13	0.01	25%	2 Aug →
cache	8–1	-0.03	21%	2 Aug →
inferno	8–13	-0.03	13%	2 Aug →
dust2	13–8	0.01	11%	2 Aug →
ancient	16–13	0.02	17%	2 Aug →
ancient	16–12	-0.01	13%	2 Aug →
mirage	13–9	0.07	28%	2 Aug →
nuke	13–7	0.03	23%	2 Aug →
ancient	14–16	0.06	22%	1 Aug →
dust2	13–7	-0.00	19%	1 Aug →
anubis	10–13	0.03	11%	1 Aug →
mirage	13–3	0.10	18%	1 Aug →
cache	6–13	0.08	23%	1 Aug →
inferno	9–6	-0.08	30%	30 Jul →
nuke	9–7	0.00	20%	30 Jul →
inferno	7–13	0.06	23%	29 Jul →
nuke	16–13	0.07	24%	29 Jul →
inferno	11–13	-0.02	20%	29 Jul →
inferno	13–8	-0.01	18%	28 Jul →
nuke	13–3	0.07	25%	28 Jul →
ancient	13–6	0.00	17%	28 Jul →
mirage	11–13	0.07	18%	28 Jul →
dust2	13–9	0.07	16%	27 Jul →
inferno	13–6	0.17	34%	27 Jul →
nuke	13–8	0.08	25%	27 Jul →
cache	13–11	-0.02	34%	25 Jul →
dust2	10–13	-0.01	19%	25 Jul →
inferno	12–12	-0.01	16%	25 Jul →
nuke	13–1	0.18	29%	25 Jul →
dust2	13–11	0.02	21%	25 Jul →
mirage	1–13	0.02	38%	19 Jul →
cache	11–13	0.01	23%	19 Jul →
nuke	13–11	0.06	16%	19 Jul →
ancient	13–6	0.08	24%	19 Jul →
dust2	13–8	0.06	24%	19 Jul →
inferno	13–2	0.04	22%	19 Jul →
cache	13–7	0.09	39%	19 Jul →
dust2	13–10	0.09	22%	17 Jul →
mirage	13–5	0.04	23%	17 Jul →
nuke	13–6	0.16	28%	17 Jul →
dust2	11–13	0.05	31%	17 Jul →
cache	10–13	-0.02	19%	16 Jul →
anubis	10–13	-0.04	38%	16 Jul →
dust2	6–13	-0.01	25%	16 Jul →
ancient	16–13	0.06	19%	16 Jul →
cache	13–6	0.08	29%	16 Jul →
ancient	8–13	0.02	17%	15 Jul →
inferno	11–13	-0.01	16%	15 Jul →
dust2	7–13	-0.08	24%	15 Jul →
cache	4–13	-0.05	20%	15 Jul →
ancient	6–13	-0.07	13%	12 Jul →
dust2	12–12	-0.04	20%	12 Jul →
train	13–0	0.11	19%	12 Jul →
italy	13–1	0.17	28%	12 Jul →
inferno	13–4	0.04	18%	12 Jul →
cache	13–11	-0.02	18%	12 Jul →
inferno	11–13	-0.06	15%	12 Jul →
nuke	13–11	0.01	23%	12 Jul →
dust2	8–13	0.02	29%	12 Jul →
dust2	13–2	0.13	24%	8 Jul →
mirage	13–6	-0.01	26%	7 Jul →
ancient	13–9	0.03	16%	7 Jul →