oleg — CS2 Stats

TT76561198036338613[U:1:76072885]Steam profile ↗✓ No bans

2,305Tracked matches40%Win rate2020Tracked since

5,386Hours in CS28Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating26,894Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#1533 of 33034 tracked

FaceitLevel 10 · 2,148 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate	51.5%	52.0%
Shot accuracy	16.3%	13.7%
Kill/death ratio	0.78	1.08
Match win rate	47.6%	48.8%

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Performance scores

Aim68

Positioning46

Utility62

0–100 skill scores via Leetify.

Recent form

COLD51–48–1Last 10051%Win rateLLLLWWLWLL

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

Player DNA

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

Aim6.8

Aggression5.2

Utility6.2

Positioning4.6

Opening Duels1.5

Clutch3.0

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 90% 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

T-side openings. Opening success drops from 44% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim6.8

Positioning4.6

Utility6.2

Mechanics5.3

Opening Duels1.7

Win Impact1.7

Composite 5.3/10 (Developing), 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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time584ms−52ms

first ⅓ avg 636ms → last ⅓ avg 584ms

Headshot accuracy19.5%+1.2%

first ⅓ avg 18.3% → last ⅓ avg 19.5%

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

0.10Best rating — inferno 13–11

13–0Biggest win — mirage

5Longest win streak

L4Current streak

5–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 71% over 7cacheWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	41	18–23	44%	-0.01
inferno	A	22	14–8	64%	0.01
ancient	B	13	7–6	54%	-0.00
cache	D	8	2–6	25%	-0.02
mirage	A	8	5–3	63%	0.01
anubis	S	7	5–2	71%	-0.01
nuke	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Lifetime stats

171,257Lifetime kills

0.78K/D

5,979Matches

47.6%Match win rate

51.5%Headshot %

16.3%Shot accuracy · Top 50% of Level 10 players

17,295MVPs

15,070Hours (in match)

5,531Bombs planted

1,393Bombs defused

Most-used weapons

AK-4758,140

M4A4 / M4A1-S30,294

P2000 / USP-S17,703

Desert Eagle14,669

AWP7,262

Glock-185,118

SG 5534,786

P904,765

MAC-103,477

FAMAS3,166

Lifetime map wins

18,527inferno

16,459dust2

6,286nuke

1,717train

1,140vertigo

289cbble

103lake

50ar_shoots

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

Faceit stats

Combat

1,843Matches

52%Win rate

1.07Avg K/D

82.7ADR

42%Headshot %

Clutches & streaks

35%1v1 clutch win

29%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	89	62%	1.05	16.6
Inferno	63	56%	1.05	15.9
Ancient	41	41%	1.07	17.2
Anubis	25	56%	1.14	16.9
Mirage	18	33%	1.07	16.2
Cache	9	56%	1.02	17.7
Nuke	4	0%	0.92	19.5
Overpass	2	50%	1.00	15.0

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.

18.6%Headshot accuracy

34.7%Accuracy (enemy spotted)

43.6%Spray accuracy

74.0%Counter-strafing

11.2°Preaim

576msReaction time

27.8%T opening success

43.9%CT opening success

0.68Enemies flashed / flash

7.6%Flash assists

12.29HE damage / grenade

6.40Flashes / 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 27.7673% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	8–13	-0.04	25%	25 Aug →
dust2	14–16	-0.06	12%	24 Aug →
inferno	9–13	-0.01	32%	21 Aug →
inferno	8–13	-0.02	19%	20 Aug →
inferno	13–8	0.01	16%	19 Aug →
inferno	13–7	0.03	18%	19 Aug →
dust2	3–13	-0.05	14%	19 Aug →
ancient	13–9	-0.00	3%	19 Aug →
mirage	10–13	-0.03	25%	18 Aug →
ancient	14–16	-0.02	18%	17 Aug →
anubis	6–13	-0.04	26%	17 Aug →
inferno	16–14	0.02	18%	16 Aug →
mirage	13–3	0.03	21%	13 Aug →
dust2	13–10	-0.03	22%	13 Aug →
dust2	5–13	-0.03	16%	6 Aug →
dust2	5–13	-0.10	12%	5 Aug →
dust2	13–11	-0.02	22%	4 Aug →
mirage	13–6	0.02	19%	3 Aug →
cache	11–13	-0.05	15%	3 Aug →
dust2	1–13	-0.07	26%	3 Aug →
inferno	18–22	-0.01	15%	31 Jul →
ancient	9–13	-0.07	18%	30 Jul →
dust2	8–13	-0.04	18%	29 Jul →
ancient	6–13	0.03	27%	29 Jul →
cache	4–13	-0.06	35%	29 Jul →
anubis	13–5	-0.04	5%	22 Jul →
inferno	13–11	-0.01	17%	21 Jul →
dust2	13–7	0.08	24%	21 Jul →
ancient	1–13	-0.11	12%	16 Jul →
dust2	13–9	-0.07	13%	15 Jul →
anubis	13–10	-0.04	28%	15 Jul →
inferno	5–13	0.07	20%	15 Jul →
dust2	13–3	0.07	32%	15 Jul →
inferno	1–13	-0.03	17%	15 Jul →
dust2	13–6	-0.01	11%	14 Jul →
ancient	13–10	-0.02	13%	14 Jul →
dust2	9–13	0.06	20%	14 Jul →
cache	13–1	0.03	18%	13 Jul →
inferno	13–8	0.03	40%	13 Jul →
inferno	13–10	-0.04	23%	13 Jul →
dust2	10–13	0.01	29%	13 Jul →
nuke	9–13	-0.01	14%	13 Jul →
dust2	13–7	0.04	24%	12 Jul →
ancient	13–7	0.03	21%	12 Jul →
dust2	13–3	-0.03	13%	12 Jul →
mirage	12–16	0.01	34%	12 Jul →
ancient	13–8	0.02	13%	12 Jul →
inferno	13–4	-0.03	15%	12 Jul →
mirage	6–13	-0.01	11%	12 Jul →
mirage	13–7	0.03	15%	12 Jul →
ancient	2–13	0.02	20%	12 Jul →
dust2	13–1	0.09	38%	11 Jul →
dust2	9–13	0.07	31%	10 Jul →
mirage	13–5	0.10	22%	10 Jul →
dust2	5–13	0.05	41%	10 Jul →
dust2	13–3	0.09	27%	10 Jul →
dust2	7–13	-0.04	19%	10 Jul →
cache	4–13	-0.07	25%	10 Jul →
mirage	13–0	-0.04	0%	10 Jul →
dust2	13–9	-0.04	13%	10 Jul →
ancient	13–9	0.02	20%	10 Jul →
inferno	13–10	0.09	23%	10 Jul →
ancient	13–5	0.06	18%	9 Jul →
cache	15–15	-0.00	14%	9 Jul →
cache	16–12	0.09	12%	8 Jul →
inferno	13–2	0.00	19%	6 Jul →
dust2	8–13	0.03	28%	6 Jul →
dust2	8–13	0.04	14%	6 Jul →
ancient	13–4	0.02	9%	6 Jul →
dust2	7–13	-0.05	14%	6 Jul →
dust2	13–5	0.03	18%	2 Jul →
dust2	3–13	-0.01	16%	2 Jul →
inferno	5–13	-0.07	16%	2 Jul →
inferno	13–11	0.10	15%	2 Jul →
anubis	13–10	0.04	21%	1 Jul →
inferno	9–13	-0.05	38%	1 Jul →
cache	11–13	-0.05	22%	1 Jul →
dust2	2–13	-0.05	29%	30 Jun →
dust2	6–13	-0.08	17%	30 Jun →
anubis	13–11	-0.04	14%	27 Jun →
dust2	13–5	0.01	26%	27 Jun →
dust2	13–5	-0.04	16%	26 Jun →
dust2	3–13	-0.04	25%	26 Jun →
inferno	3–13	-0.03	24%	26 Jun →
dust2	5–13	-0.06	20%	26 Jun →
dust2	13–7	0.01	19%	26 Jun →
inferno	13–6	-0.05	20%	26 Jun →
dust2	12–3	-0.02	9%	26 Jun →
anubis	7–13	0.01	20%	24 Jun →
inferno	13–10	0.04	17%	24 Jun →
dust2	13–7	0.06	18%	24 Jun →
dust2	8–13	-0.09	16%	23 Jun →
dust2	8–13	-0.01	20%	23 Jun →
inferno	13–6	0.06	22%	22 Jun →
dust2	13–10	0.00	25%	22 Jun →
dust2	5–13	-0.04	20%	22 Jun →
anubis	13–4	0.05	19%	22 Jun →
ancient	14–16	0.01	12%	22 Jun →
inferno	13–5	0.04	8%	22 Jun →
dust2	3–13	-0.09	7%	16 Jun →