Jordd — CS2 Stats

76561199033275296[U:1:1073009568]

515Tracked matches46%Win rate2021Tracked since

419Hours in CS

CSDB Rating5.6 SolidHybrid Rifler

WingmanMaster Guardian I

Ladder ranks via Leetify

Performance scores

Aim68

Positioning48

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateWWWWLLLWWL

Last 10 vs previous 10: +20pp win rate · +0.08 avg rating

Player DNA

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

Aim6.8

Aggression6.3

Utility6.1

Positioning4.8

Opening Duels1.8

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 89% playstyle similarity

Most alike: opening-fight frequency, 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. 658ms 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

Positioning4.8

Utility6.1

Mechanics7.2

Opening Duels1.8

Win Impact3.8

Composite 5.6/10 (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 0.01 → last ⅓ avg 0.02

Reaction time665ms−64ms

first ⅓ avg 729ms → last ⅓ avg 665ms

Headshot accuracy24.2%+3.6%

first ⅓ avg 20.6% → last ⅓ avg 24.2%

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

0.17Best rating — inferno 13–4

13–1Biggest win — dust2

5Longest win streak

W4Current streak

13–6In matches decided by ≤2 rounds

19Overtime games

Map breakdown

nukeBest map · 70% over 23infernoWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	24	10–14	42%	0.01
nuke	S	23	16–7	70%	0.02
dust2	B	15	8–7	53%	0.01
inferno	C	14	5–9	36%	0.04
ancient	A	14	9–5	64%	-0.00
overpass	—	4	2–2	50%	-0.03
cache	—	3	2–1	67%	-0.01
anubis	—	2	2–0	100%	0.03
train	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,330Lifetime kills

1.03K/D · Top 50% of tracked players

1,041Matches

48.3%Match win rate · Top 50% of tracked players

48.4%Headshot % · Top 50% of tracked players

5.8%Shot accuracy

2,319MVPs

419Hours (in match)

839Bombs planted

196Bombs defused

Most-used weapons

AK-476,133

M4A4 / M4A1-S2,370

AWP2,124

Desert Eagle995

P2000 / USP-S906

Glock-18827

MP9798

MAC-10528

P250332

Galil AR279

Lifetime map wins

1,859nuke

1,746inferno

1,491dust2

326train

189vertigo

64office

38cbble

8lake

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.

24.1%Headshot accuracy

33.6%Accuracy (enemy spotted)

34.2%Spray accuracy

82.5%Counter-strafing

10.3°Preaim

658msReaction time

37.4%T opening success

37.4%CT opening success

0.49Enemies flashed / flash

5.7%Flash assists

9.91HE damage / grenade

10.38Flashes / 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 0.4935 — 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 37.3516% — 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.

36% win rate across 14 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
nuke	13–6	0.06	29%	29 Aug →
cache	13–11	0.09	26%	28 Aug →
nuke	13–6	0.10	42%	28 Aug →
nuke	13–8	0.10	20%	27 Aug →
inferno	2–13	-0.02	23%	27 Aug →
dust2	5–13	-0.03	30%	27 Aug →
mirage	10–13	-0.00	11%	26 Aug →
inferno	13–4	0.17	36%	26 Aug →
nuke	13–8	0.13	30%	26 Aug →
mirage	5–13	0.00	23%	9 Aug →
ancient	7–13	-0.07	7%	8 Aug →
dust2	13–3	0.05	38%	21 Jun →
ancient	6–13	-0.01	32%	21 Jun →
cache	6–13	-0.08	40%	5 May →
cache	13–9	-0.03	35%	5 May →
ancient	4–13	-0.07	23%	14 Apr →
overpass	16–12	-0.05	19%	15 Mar →
mirage	15–15	0.06	14%	15 Mar →
dust2	4–13	-0.03	12%	12 Mar →
nuke	13–8	0.08	13%	12 Mar →
ancient	8–13	0.01	21%	12 Mar →
mirage	12–16	-0.02	16%	12 Mar →
nuke	11–13	0.03	20%	11 Mar →
nuke	13–6	-0.02	30%	11 Mar →
mirage	12–16	0.03	31%	11 Mar →
inferno	15–15	0.01	21%	9 Mar →
mirage	16–14	-0.01	33%	9 Mar →
inferno	8–13	0.11	15%	9 Mar →
mirage	13–8	0.06	16%	9 Mar →
mirage	6–13	-0.01	30%	9 Mar →
nuke	13–7	-0.01	27%	9 Mar →
dust2	8–13	0.06	19%	6 Mar →
mirage	13–10	-0.04	19%	5 Mar →
dust2	2–13	-0.06	20%	5 Mar →
inferno	10–13	-0.02	14%	4 Mar →
dust2	8–13	-0.03	31%	4 Mar →
nuke	13–2	0.01	9%	4 Mar →
inferno	13–8	-0.00	14%	4 Mar →
mirage	5–13	-0.09	24%	4 Mar →
ancient	13–6	-0.06	11%	4 Mar →
anubis	13–8	0.08	22%	3 Mar →
overpass	11–13	-0.03	27%	3 Mar →
inferno	13–11	0.05	18%	3 Mar →
ancient	13–11	0.02	25%	3 Mar →
mirage	11–13	0.04	32%	2 Mar →
dust2	13–1	0.08	14%	2 Mar →
ancient	13–8	0.03	12%	2 Mar →
mirage	13–4	0.01	5%	2 Mar →
nuke	13–6	-0.06	39%	2 Mar →
nuke	13–16	0.00	17%	2 Mar →
ancient	13–11	0.03	21%	2 Mar →
anubis	13–2	-0.03	21%	27 Feb →
mirage	13–11	0.01	10%	27 Feb →
nuke	13–11	0.04	15%	27 Feb →
nuke	14–16	-0.02	17%	27 Feb →
nuke	11–13	-0.06	11%	27 Feb →
inferno	15–15	0.02	25%	26 Feb →
ancient	13–2	0.05	18%	26 Feb →
inferno	9–13	-0.03	32%	25 Feb →
dust2	13–8	0.05	25%	25 Feb →
nuke	13–10	0.02	18%	25 Feb →
mirage	8–13	-0.06	24%	25 Feb →
overpass	13–4	-0.04	7%	25 Feb →
train	7–13	0.03	18%	25 Feb →
inferno	13–11	0.08	24%	25 Feb →
nuke	10–13	0.05	16%	25 Feb →
dust2	13–9	-0.03	23%	25 Feb →
nuke	13–3	-0.01	17%	24 Feb →
mirage	5–13	0.05	22%	24 Feb →
mirage	7–13	0.02	18%	24 Feb →
mirage	12–16	0.04	13%	24 Feb →
mirage	16–12	0.01	18%	23 Feb →
dust2	13–8	-0.01	21%	23 Feb →
mirage	13–7	0.03	17%	23 Feb →
dust2	13–9	0.00	21%	22 Feb →
mirage	13–11	0.03	24%	22 Feb →
overpass	10–13	-0.00	23%	22 Feb →
ancient	13–7	0.06	25%	21 Feb →
nuke	16–14	0.06	20%	21 Feb →
dust2	16–14	-0.02	11%	20 Feb →
inferno	13–7	0.02	18%	20 Feb →
dust2	4–13	0.02	32%	20 Feb →
ancient	12–16	-0.02	19%	19 Feb →
ancient	13–9	-0.02	16%	19 Feb →
nuke	13–6	-0.07	25%	19 Feb →
mirage	9–13	-0.00	24%	19 Feb →
mirage	6–13	0.05	31%	19 Feb →
nuke	13–4	0.01	29%	19 Feb →
dust2	9–13	-0.01	15%	19 Feb →
nuke	13–16	-0.06	22%	19 Feb →
nuke	15–15	0.03	14%	19 Feb →
ancient	16–14	0.01	21%	19 Feb →
mirage	13–11	0.01	31%	19 Feb →
dust2	13–10	0.06	20%	19 Feb →
nuke	13–10	0.02	21%	18 Feb →
ancient	13–8	0.01	18%	18 Feb →
inferno	10–13	0.04	18%	18 Feb →
mirage	13–5	-0.03	18%	18 Feb →
inferno	14–16	0.04	17%	18 Feb →
inferno	15–15	0.03	23%	17 Feb →