Team Easy On-Bobby Olsen — CS2 Stats

DK76561199074549491[U:1:1114283763]Steam profile ↗✓ No bans

963Tracked matches38%Win rate2023Tracked since

1,332Hours in CS13Hrs last 2 wks

CSDB Rating4.4 DevelopingPositional Player

WingmanGold Nova III

Ladder ranks via Leetify

Performance scores

Aim55

Positioning58

Utility34

0–100 skill scores via Leetify.

Recent form

COLD40–47–13Last 10040%Win rateLLLTWLWLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.7pp headshot accuracy · −16ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–3–1 · 20% win rate
Avg rating -0.04
Avg headshot accuracy 16%
Avg reaction 513ms

Last 10

3–6–1 · 30% win rate
Avg rating -0.02
Avg headshot accuracy 18%
Avg reaction 518ms

Last 20

6–11–3 · 30% win rate
Avg rating -0.02
Avg headshot accuracy 18%
Avg reaction 526ms

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).

Aim5.5

Utility3.4

Positioning5.8

Opening Duels2.7

Limited utility dependence

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 m0NESY 82% 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

Counter-strafing. Only 65% 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

Aim5.5

Positioning5.8

Utility3.4

Mechanics3.3

Opening Duels4.7

Win Impact1.2

Composite 4.4/10 (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-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time526ms−13ms

first ⅓ avg 539ms → last ⅓ avg 526ms

Headshot accuracy18.7%−1.9%

first ⅓ avg 20.6% → last ⅓ avg 18.7%

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

0.10Best match rating · 13–2 · office, 14 Sept →

41%Best headshot accuracy · 13–9 · office, 21 Sept →

359msFastest reaction time · 11–13 · office, 6 Oct →

13–2Biggest win · office, 17 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak

L3Current streak

2–9In matches decided by ≤2 rounds

Lifetime stats

29,166Lifetime kills

0.87K/D

2,390Matches

42.6%Match win rate

44.8%Headshot % · Top 50% of tracked players

3.9%Shot accuracy

5,514MVPs

663Hours (in match)

1,480Bombs planted

200Bombs defused

Most-used weapons

AK-477,373

M4A4 / M4A1-S6,017

Galil AR1,715

P2000 / USP-S1,674

Glock-181,582

MP91,554

MAC-101,236

P901,138

AWP954

Desert Eagle938

Lifetime map wins

7,279office

3,006vertigo

2,287inferno

1,048dust2

759nuke

368italy

53train

52lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.9%Headshot accuracy

28.2%Accuracy (enemy spotted)

31.2%Spray accuracy

64.7%Counter-strafing

8.5°Preaim

529msReaction time

54.2%T opening success

43.6%CT opening success

0.32Enemies flashed / flash

4.9%Flash assists

8.79HE damage / grenade

4.32Flashes / 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 0.3153 — below the 0.5 mark we flag
Grenade Lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	5–13	-0.11	8%	4 Nov →
office	10–13	-0.04	23%	3 Nov →
office	5–13	-0.04	13%	3 Nov →
office	12–12	-0.03	18%	2 Nov →
office	13–10	0.05	19%	2 Nov →
office	8–13	-0.08	11%	1 Nov →
office	13–4	-0.02	26%	1 Nov →
office	9–13	0.02	20%	1 Nov →
office	11–13	0.04	18%	1 Nov →
office	13–6	0.01	26%	31 Oct →
office	4–13	-0.05	17%	31 Oct →
office	13–6	-0.05	16%	31 Oct →
office	10–13	-0.02	14%	31 Oct →
office	13–3	-0.06	14%	29 Oct →
office	6–13	-0.05	6%	28 Oct →
office	2–9	-0.00	13%	28 Oct →
office	8–13	-0.05	30%	27 Oct →
office	13–11	-0.03	36%	23 Oct →
office	12–12	0.04	17%	22 Oct →
office	12–12	-0.00	13%	21 Oct →
office	13–9	0.01	31%	21 Oct →
office	13–8	0.06	22%	21 Oct →
office	13–9	-0.04	33%	21 Oct →
office	12–12	-0.01	14%	20 Oct →
office	8–13	0.02	12%	20 Oct →
office	3–13	-0.04	13%	20 Oct →
office	10–13	0.00	13%	19 Oct →
office	9–13	0.05	13%	19 Oct →
office	11–13	0.00	26%	19 Oct →
office	11–2	0.01	25%	19 Oct →
office	13–6	0.00	20%	19 Oct →
office	11–13	-0.01	15%	18 Oct →
office	13–10	-0.06	23%	18 Oct →
office	8–13	-0.04	36%	16 Oct →
office	13–10	0.05	17%	16 Oct →
office	11–13	-0.07	13%	16 Oct →
office	7–13	-0.05	14%	16 Oct →
office	13–8	0.05	10%	15 Oct →
office	4–12	-0.01	11%	15 Oct →
office	12–12	-0.00	15%	14 Oct →
office	13–9	-0.06	20%	13 Oct →
office	13–7	0.06	22%	13 Oct →
office	13–4	-0.06	26%	13 Oct →
office	12–12	0.04	14%	12 Oct →
office	11–13	-0.02	20%	11 Oct →
office	11–13	-0.06	19%	6 Oct →
office	8–13	-0.06	11%	5 Oct →
office	13–4	-0.06	24%	5 Oct →
office	11–13	0.02	14%	4 Oct →
office	7–13	-0.06	14%	4 Oct →
office	13–4	0.08	31%	3 Oct →
office	13–10	-0.05	18%	3 Oct →
office	9–13	-0.01	24%	3 Oct →
office	8–13	-0.06	15%	30 Sept →
office	10–13	-0.06	17%	29 Sept →
office	10–13	0.01	9%	29 Sept →
office	3–13	-0.04	12%	28 Sept →
office	13–5	0.05	9%	28 Sept →
office	12–12	-0.02	18%	28 Sept →
office	4–13	-0.03	11%	28 Sept →
office	13–9	-0.03	14%	28 Sept →
office	12–12	-0.06	14%	26 Sept →
office	11–13	-0.00	20%	26 Sept →
office	13–4	0.08	8%	25 Sept →
office	8–13	-0.05	22%	23 Sept →
office	9–13	-0.03	20%	23 Sept →
office	12–12	-0.07	16%	22 Sept →
office	13–5	-0.03	28%	22 Sept →
office	8–13	-0.01	12%	22 Sept →
office	13–11	-0.08	14%	21 Sept →
office	13–10	0.01	30%	21 Sept →
office	13–9	-0.03	41%	21 Sept →
office	6–13	-0.04	26%	21 Sept →
office	13–9	-0.03	16%	21 Sept →
office	13–6	-0.04	22%	21 Sept →
office	5–13	-0.03	21%	20 Sept →
office	12–12	-0.04	14%	20 Sept →
office	13–8	0.08	25%	20 Sept →
office	10–13	0.04	20%	20 Sept →
office	13–7	-0.03	13%	19 Sept →
office	13–7	-0.08	21%	19 Sept →
office	8–13	-0.03	15%	19 Sept →
office	9–13	-0.08	26%	18 Sept →
office	13–3	-0.05	27%	18 Sept →
office	12–12	-0.00	31%	17 Sept →
office	13–2	-0.01	22%	17 Sept →
office	13–4	0.02	27%	17 Sept →
office	0–13	-0.03	7%	16 Sept →
office	13–8	-0.02	16%	16 Sept →
office	10–13	-0.01	30%	14 Sept →
office	13–2	0.10	16%	14 Sept →
office	9–13	-0.00	19%	13 Sept →
office	13–7	0.01	15%	13 Sept →
office	13–7	0.09	12%	12 Sept →
office	9–13	-0.04	18%	12 Sept →
office	12–12	-0.00	25%	12 Sept →
office	6–13	-0.06	22%	11 Sept →
office	11–13	0.01	17%	11 Sept →
office	12–12	0.05	19%	10 Sept →
office	13–6	-0.04	13%	10 Sept →