Go Easy I'm Old — CS2 Stats

76561198397389384[U:1:437123656]

697Tracked matches48%Win rate2025Tracked since

1,470Hours in CS5Hrs last 2 wks

CSDB Rating6.4 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim79

Positioning59

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY53–38–9Last 10053%Win rateLLLLLTWWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

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

Aim7.9

Aggression7.2

Utility7.0

Positioning5.9

Opening Duels1.8

Effective flashes

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 Twistzz 93% playstyle similarity

Most alike: positioning profile, 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

Strengths

Flashes. 1.03 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 575ms 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

Aim7.9

Positioning5.9

Utility7.0

Mechanics8.0

Opening Duels1.8

Win Impact4.4

Composite 6.4/10 (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 rating0.02−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time581ms+8ms

first ⅓ avg 573ms → last ⅓ avg 581ms

Headshot accuracy18.9%−0.5%

first ⅓ avg 19.4% → last ⅓ avg 18.9%

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

0.25Best rating — train 13–2

13–2Biggest win — train

5Longest win streak

L5Current streak

4–4In matches decided by ≤2 rounds

Map breakdown

Map	Grade	Played	Record	Win rate	Avg rating
train	B	98	51–47	52%	0.03
dust2	—	1	1–0	100%	0.06
cache	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Lifetime stats

44,534Lifetime kills

1.17K/D · Top 25% of tracked players

2,100Matches

49.9%Match win rate · Top 25% of tracked players

43.4%Headshot %

11.3%Shot accuracy

6,287MVPs

937Hours (in match)

1,165Bombs planted

604Bombs defused

Most-used weapons

AK-4717,143

M4A4 / M4A1-S7,960

Desert Eagle5,561

AWP3,273

P2000 / USP-S2,459

Glock-181,639

MAC-10618

Knife571

Galil AR464

P90401

Lifetime map wins

8,533inferno

5,455train

1,514dust2

549vertigo

469cbble

59nuke

18ar_shoots

14lake

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

34.1%Accuracy (enemy spotted)

33.9%Spray accuracy

85.9%Counter-strafing

7.7°Preaim

575msReaction time

38.4%T opening success

36.4%CT opening success

1.03Enemies flashed / flash

3.6%Flash assists

10.65HE damage / grenade

11.73Flashes / 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 38.3627% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
train	5–13	0.09	25%	20 Aug →
train	9–13	-0.02	11%	18 Aug →
train	8–13	-0.05	10%	18 Aug →
train	5–13	0.03	9%	18 Aug →
train	7–13	-0.01	19%	17 Aug →
train	12–12	0.05	12%	17 Aug →
train	13–7	0.02	10%	16 Aug →
train	13–3	-0.01	23%	11 Aug →
train	13–5	0.03	32%	11 Aug →
train	13–4	0.04	19%	11 Aug →
train	11–13	-0.02	14%	3 Aug →
train	9–13	-0.03	15%	3 Aug →
train	7–13	-0.09	10%	3 Aug →
train	5–13	-0.01	17%	2 Aug →
train	8–13	-0.03	17%	2 Aug →
train	1–9	0.05	43%	2 Aug →
train	13–3	0.01	19%	31 Jul →
train	13–5	0.04	29%	21 Jul →
train	13–8	0.11	36%	1 Jul →
train	7–13	-0.03	18%	30 Jun →
train	0–4	-0.01	0%	29 Jun →
train	13–2	-0.01	19%	16 Jun →
train	13–5	0.14	24%	13 Jun →
train	10–13	0.06	22%	13 Jun →
train	13–5	0.13	23%	12 Jun →
train	13–11	-0.01	8%	11 Jun →
train	13–6	0.11	16%	11 Jun →
train	13–5	0.03	22%	11 Jun →
train	9–13	0.06	26%	10 Jun →
train	13–7	0.06	21%	9 Jun →
train	13–6	0.04	10%	8 Jun →
train	1–13	0.00	25%	8 Jun →
train	7–13	0.01	18%	8 Jun →
train	13–8	-0.03	12%	8 Jun →
train	10–13	0.04	23%	7 Jun →
train	13–6	0.05	15%	2 Jun →
dust2	13–11	0.06	23%	1 Jun →
train	13–7	0.04	20%	19 May →
train	9–13	-0.00	9%	19 May →
train	12–12	0.00	32%	5 May →
cache	13–9	0.02	9%	28 Apr →
train	12–12	0.02	13%	26 Apr →
train	13–10	0.05	29%	21 Apr →
train	13–11	0.05	14%	21 Apr →
train	6–13	-0.05	21%	20 Apr →
train	13–4	0.13	23%	20 Apr →
train	13–11	0.01	20%	14 Apr →
train	12–12	0.15	19%	13 Apr →
train	13–5	0.01	19%	13 Apr →
train	8–13	-0.02	14%	12 Apr →
train	8–13	0.09	32%	12 Apr →
train	13–8	0.01	9%	11 Apr →
train	13–5	0.06	17%	7 Apr →
train	1–13	-0.09	13%	7 Apr →
train	13–6	0.06	17%	7 Apr →
train	13–9	0.05	12%	7 Apr →
train	13–8	-0.06	5%	7 Apr →
train	12–4	0.00	20%	6 Apr →
train	6–13	0.02	34%	6 Apr →
train	13–7	0.04	18%	6 Apr →
train	13–2	0.13	12%	6 Apr →
train	7–13	-0.01	15%	6 Apr →
train	5–13	-0.03	13%	6 Apr →
train	13–7	-0.02	18%	6 Apr →
train	8–13	0.11	29%	6 Apr →
train	13–9	0.08	20%	5 Apr →
train	6–13	-0.02	17%	4 Apr →
train	13–10	0.06	27%	4 Apr →
train	13–6	0.05	12%	4 Apr →
train	13–8	0.07	9%	3 Apr →
train	4–13	-0.08	30%	3 Apr →
train	10–13	0.00	28%	3 Apr →
train	13–3	0.25	25%	2 Apr →
train	13–8	0.02	22%	2 Apr →
train	13–6	-0.00	18%	31 Mar →
train	9–13	0.01	23%	31 Mar →
train	2–2	-0.04	7%	31 Mar →
train	12–12	-0.02	16%	30 Mar →
train	12–12	-0.03	16%	30 Mar →
train	13–8	0.04	18%	30 Mar →
train	12–12	-0.04	18%	30 Mar →
train	13–3	0.05	23%	30 Mar →
train	13–8	0.03	23%	30 Mar →
train	13–7	0.01	18%	29 Mar →
train	13–4	0.02	21%	29 Mar →
train	13–2	0.25	20%	29 Mar →
train	11–13	0.03	11%	29 Mar →
train	13–3	0.01	20%	28 Mar →
train	3–13	0.02	14%	27 Mar →
train	13–9	-0.01	23%	27 Mar →
train	7–13	0.03	17%	27 Mar →
train	13–6	-0.03	13%	26 Mar →
train	12–12	0.02	15%	24 Mar →
train	11–13	0.08	20%	24 Mar →
train	13–8	-0.03	16%	24 Mar →
train	13–10	0.10	19%	23 Mar →
train	10–13	0.08	29%	23 Mar →
train	13–5	0.09	18%	23 Mar →
train	12–12	0.13	18%	23 Mar →
train	7–13	-0.00	30%	23 Mar →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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