Forlorn — CS2 Stats

76561198091144292[U:1:130878564]✓ No bans

1,059Tracked matches43%Win rate2021Tracked since

CSDB Rating4.4 Developing

Ladder ranks via Leetify

Performance scores

Aim59

Positioning38

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateLLWWWWLLLL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Aim5.9

Aggression5.4

Utility3.7

Positioning3.8

Opening Duels1.5

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 80% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Reaction time. 571ms 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

Aim5.9

Positioning3.8

Utility3.7

Mechanics5.6

Opening Duels1.6

Win Impact2.8

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 rating0.00+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time587ms−12ms

first ⅓ avg 599ms → last ⅓ avg 587ms

Headshot accuracy15.3%+0.5%

first ⅓ avg 14.8% → last ⅓ avg 15.3%

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

0.15Best rating — anubis 13–9

13–2Biggest win — cache

7Longest win streak

L2Current streak

4–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 80% over 5mirageWeakest map · 37% over 19

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	21	10–11	48%	0.01
mirage	C	19	7–12	37%	-0.01
cache	A	18	10–8	56%	-0.02
dust2	C	17	7–10	41%	-0.00
ancient	A	10	6–4	60%	-0.00
nuke	S	5	4–1	80%	-0.01
overpass	—	4	1–3	25%	0.01
anubis	—	4	3–1	75%	0.06
train	—	1	0–1	0%	-0.02
alpine	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

15.1%Headshot accuracy

33.1%Accuracy (enemy spotted)

34.3%Spray accuracy

75.3%Counter-strafing

10.0°Preaim

571msReaction time

29.0%T opening success

42.7%CT opening success

0.36Enemies flashed / flash

6.8%Flash assists

6.19HE damage / grenade

6.95Flashes / 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 0.3611 — 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 28.9788% — below the 40% mark we flag

Spend your practice time on Mirage

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	4–13	-0.05	4%	14 Jul →
inferno	10–13	-0.00	19%	12 Jul →
cache	13–7	-0.03	14%	12 Jul →
cache	13–5	-0.06	3%	7 Jul →
cache	13–8	0.04	32%	7 Jul →
inferno	13–7	-0.00	7%	5 Jul →
inferno	8–13	-0.01	14%	29 Jun →
overpass	4–13	0.06	20%	29 Jun →
mirage	4–13	-0.04	15%	29 Jun →
mirage	11–13	0.02	5%	29 Jun →
mirage	13–5	0.02	17%	23 Jun →
inferno	13–9	0.01	19%	23 Jun →
anubis	13–7	0.10	15%	17 Jun →
mirage	11–13	-0.01	12%	17 Jun →
dust2	8–13	0.08	12%	17 Jun →
mirage	9–13	-0.02	11%	16 Jun →
nuke	13–3	0.02	15%	16 Jun →
mirage	5–13	-0.03	9%	11 Jun →
ancient	13–6	0.03	13%	11 Jun →
ancient	6–13	-0.01	21%	10 Jun →
inferno	13–9	0.05	9%	10 Jun →
nuke	7–13	-0.04	14%	10 Jun →
ancient	13–7	0.01	43%	9 Jun →
cache	10–13	-0.04	11%	7 Jun →
inferno	8–13	-0.01	14%	7 Jun →
dust2	8–13	-0.04	17%	7 Jun →
dust2	13–4	0.03	16%	3 Jun →
ancient	9–13	-0.01	15%	30 May →
anubis	13–10	0.04	17%	30 May →
cache	8–13	-0.01	21%	30 May →
dust2	13–10	0.03	9%	30 May →
train	10–13	-0.02	31%	30 May →
nuke	13–7	-0.01	10%	27 May →
anubis	13–9	0.15	15%	12 May →
cache	13–10	-0.06	22%	12 May →
mirage	7–13	0.08	16%	11 May →
cache	13–11	-0.07	19%	10 May →
inferno	9–13	-0.01	8%	10 May →
cache	13–8	-0.03	19%	6 May →
cache	10–13	0.01	11%	6 May →
cache	13–6	0.03	21%	2 May →
cache	7–13	-0.04	6%	1 May →
cache	13–8	0.04	16%	1 May →
cache	9–13	-0.04	13%	1 May →
cache	10–13	-0.01	7%	1 May →
cache	11–13	-0.02	22%	30 Apr →
cache	10–13	-0.03	22%	29 Apr →
cache	13–2	0.03	25%	29 Apr →
cache	13–8	0.01	18%	29 Apr →
inferno	6–13	0.08	18%	24 Apr →
inferno	5–13	0.06	10%	24 Apr →
mirage	5–13	-0.07	21%	24 Apr →
inferno	13–9	-0.06	18%	23 Apr →
inferno	10–13	0.02	27%	19 Apr →
dust2	13–16	-0.01	10%	18 Apr →
ancient	13–9	0.05	31%	15 Apr →
inferno	7–13	-0.04	17%	12 Apr →
dust2	4–13	-0.05	17%	12 Apr →
dust2	15–15	0.07	18%	12 Apr →
alpine	13–8	0.04	14%	11 Apr →
inferno	13–6	-0.03	19%	11 Apr →
mirage	13–11	0.02	26%	10 Apr →
inferno	13–9	-0.03	9%	10 Apr →
mirage	13–2	-0.10	4%	7 Apr →
overpass	13–5	-0.01	11%	7 Apr →
inferno	13–8	0.04	10%	6 Apr →
dust2	6–13	-0.06	27%	6 Apr →
dust2	5–13	-0.04	20%	6 Apr →
dust2	16–12	0.04	22%	26 Mar →
mirage	13–5	0.09	34%	26 Mar →
dust2	13–3	0.09	27%	26 Mar →
dust2	10–13	-0.05	13%	24 Mar →
mirage	13–3	0.01	13%	24 Mar →
mirage	13–5	0.04	16%	24 Mar →
mirage	13–11	0.04	18%	22 Mar →
inferno	13–5	0.08	12%	22 Mar →
dust2	11–13	-0.05	11%	21 Mar →
mirage	2–7	-0.09	15%	21 Mar →
ancient	16–12	0.05	10%	21 Mar →
inferno	13–4	-0.02	6%	19 Mar →
mirage	13–16	0.06	12%	18 Mar →
mirage	4–13	-0.04	18%	16 Mar →
ancient	13–8	-0.02	26%	15 Mar →
overpass	9–13	0.00	18%	11 Mar →
mirage	6–13	-0.01	12%	9 Mar →
inferno	8–13	-0.00	11%	9 Mar →
overpass	5–13	0.00	22%	8 Mar →
inferno	14–16	0.00	19%	8 Mar →
dust2	7–13	-0.05	18%	4 Mar →
ancient	11–13	-0.08	5%	4 Mar →
inferno	13–6	-0.00	15%	4 Mar →
dust2	13–7	0.04	22%	1 Mar →
anubis	7–13	-0.07	6%	1 Mar →
dust2	13–9	-0.06	9%	23 Feb →
inferno	6–13	-0.01	11%	23 Feb →
nuke	13–6	-0.01	11%	22 Feb →
ancient	13–10	0.01	15%	20 Feb →
dust2	13–6	0.02	9%	20 Feb →
nuke	16–14	-0.03	7%	20 Feb →
mirage	8–13	-0.07	10%	20 Feb →