Albalatross — CS2 Stats

FI76561198143229287[U:1:182963559]Steam profile ↗

779Tracked matches52%Win rate2020Tracked since

890Hours in CS

CSDB Rating3.8 Learning

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim21

Positioning47

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateWLLWWWLLLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim2.1

Aggression5.8

Utility6.2

Positioning4.7

Opening Duels1.9

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-duel success, 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

Areas to improve

Reaction time. 709ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim2.1

Positioning4.7

Utility6.2

Mechanics3.5

Opening Duels1.9

Win Impact5.6

Composite 3.8/10 (Learning), 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 rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time712ms+35ms

first ⅓ avg 677ms → last ⅓ avg 712ms

Headshot accuracy13.3%+0.6%

first ⅓ avg 12.7% → last ⅓ avg 13.3%

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 — dust2 13–2

13–0Biggest win — golden

5Longest win streak

5–3In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 62% over 13overpassWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	13–9	59%	-0.01
dust2	B	17	9–8	53%	0.01
inferno	A	13	8–5	62%	0.00
overpass	D	11	2–9	18%	-0.02
ancient	D	11	2–9	18%	0.00
train	C	9	4–5	44%	-0.01
mirage	C	5	2–3	40%	-0.02
alpine	—	3	1–2	33%	0.02
stronghold	—	3	0–3	0%	0.03
anubis	—	2	0–2	0%	0.02
golden	—	2	1–1	50%	-0.01
warden	—	1	1–0	100%	-0.02
office	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,335Lifetime kills

1.06K/D · Top 50% of tracked players

2,430Matches

38.5%Match win rate

42.9%Headshot %

6.0%Shot accuracy

4,376MVPs

890Hours (in match)

1,897Bombs planted

545Bombs defused

Most-used weapons

AK-4717,585

M4A4 / M4A1-S6,725

AWP2,027

MP91,821

P2000 / USP-S1,730

MAC-101,719

Desert Eagle1,578

Tec-91,517

Glock-181,506

P901,317

Lifetime map wins

3,085dust2

2,748nuke

2,270inferno

1,062office

771vertigo

569train

366cbble

117italy

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.

12.9%Headshot accuracy

29.1%Accuracy (enemy spotted)

31.8%Spray accuracy

65.6%Counter-strafing

12.5°Preaim

709msReaction time

30.7%T opening success

44.8%CT opening success

0.60Enemies flashed / flash

5.2%Flash assists

9.70HE damage / grenade

12.28Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.5468° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.881% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 708.7333ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Overpass

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	-0.05	21%	12 Mar →
overpass	4–13	-0.05	7%	12 Mar →
overpass	4–13	-0.01	16%	12 Mar →
nuke	13–4	0.12	23%	12 Mar →
nuke	13–10	-0.04	6%	5 Feb →
inferno	13–9	-0.02	11%	31 Jan →
anubis	6–13	0.02	11%	26 Jan →
alpine	10–13	0.08	14%	26 Jan →
overpass	6–13	-0.10	9%	23 Jan →
nuke	13–8	0.08	13%	23 Jan →
ancient	6–13	-0.00	25%	23 Jan →
alpine	12–12	0.04	11%	23 Jan →
stronghold	9–13	0.01	9%	23 Jan →
warden	13–11	-0.02	13%	23 Jan →
stronghold	10–13	0.07	9%	23 Jan →
dust2	13–8	0.03	11%	22 Jan →
nuke	13–11	0.06	10%	22 Jan →
alpine	13–9	-0.07	6%	22 Jan →
stronghold	12–12	0.03	15%	22 Jan →
mirage	13–5	0.02	9%	21 Jan →
dust2	13–8	0.06	16%	21 Jan →
golden	13–0	-0.00	10%	21 Jan →
nuke	11–13	0.03	16%	21 Jan →
inferno	13–4	-0.02	17%	21 Jan →
nuke	7–13	-0.01	14%	21 Jan →
golden	1–13	-0.02	14%	20 Jan →
anubis	8–13	0.03	13%	20 Jan →
overpass	2–13	-0.09	9%	20 Jan →
nuke	13–7	-0.01	20%	18 Jan →
dust2	15–15	0.09	12%	18 Jan →
inferno	13–8	0.06	19%	18 Jan →
nuke	13–3	0.05	15%	18 Jan →
nuke	13–3	-0.01	15%	18 Jan →
nuke	13–8	0.04	13%	16 Jan →
mirage	13–3	-0.03	0%	16 Jan →
inferno	13–16	0.00	18%	16 Jan →
nuke	13–10	-0.05	13%	16 Jan →
dust2	7–13	-0.06	23%	16 Jan →
ancient	8–13	-0.03	11%	16 Jan →
train	10–13	0.07	15%	16 Jan →
mirage	3–13	-0.09	23%	15 Jan →
train	14–16	-0.02	19%	15 Jan →
inferno	10–13	-0.02	20%	15 Jan →
overpass	10–13	0.01	17%	14 Jan →
ancient	3–13	-0.00	28%	14 Jan →
ancient	15–15	0.02	11%	13 Jan →
dust2	10–13	-0.03	16%	13 Jan →
ancient	13–16	0.04	15%	13 Jan →
ancient	8–13	-0.05	12%	8 Jan →
dust2	8–13	-0.03	26%	8 Jan →
dust2	9–13	-0.05	20%	7 Jan →
inferno	3–13	-0.04	23%	7 Jan →
train	6–13	-0.07	15%	7 Jan →
nuke	4–13	-0.10	11%	7 Jan →
ancient	10–13	0.01	11%	7 Jan →
overpass	13–11	-0.01	8%	7 Jan →
nuke	6–13	-0.01	11%	7 Jan →
ancient	10–13	-0.03	17%	5 Jan →
train	4–13	-0.05	3%	5 Jan →
dust2	10–13	-0.05	13%	4 Jan →
inferno	13–10	-0.06	17%	4 Jan →
inferno	13–4	0.03	20%	4 Jan →
inferno	9–13	0.01	19%	4 Jan →
dust2	5–13	0.01	12%	4 Jan →
inferno	13–6	0.07	17%	3 Jan →
dust2	13–2	0.15	16%	2 Jan →
dust2	13–3	-0.02	18%	2 Jan →
nuke	13–11	-0.02	10%	2 Jan →
mirage	4–13	0.03	13%	2 Jan →
inferno	8–13	-0.01	16%	1 Jan →
dust2	13–6	0.04	23%	1 Jan →
ancient	13–10	-0.04	7%	1 Jan →
mirage	15–15	-0.01	11%	31 Dec →
nuke	4–13	-0.02	17%	31 Dec →
inferno	13–10	-0.00	15%	31 Dec →
overpass	13–16	0.02	19%	28 Dec →
nuke	12–4	0.00	13%	28 Dec →
nuke	14–16	-0.08	10%	24 Dec →
ancient	13–3	-0.02	14%	24 Dec →
nuke	4–13	-0.05	7%	24 Dec →
nuke	5–0	-0.03	0%	24 Dec →
nuke	10–13	-0.06	13%	24 Dec →
overpass	3–1	0.03	0%	24 Dec →
train	7–13	-0.01	21%	24 Dec →
dust2	13–8	0.09	16%	24 Dec →
office	6–13	-0.06	15%	21 Dec →
overpass	6–13	-0.03	15%	21 Dec →
train	13–10	-0.01	15%	21 Dec →
nuke	13–9	-0.05	4%	21 Dec →
dust2	13–6	-0.03	4%	19 Dec →
train	13–8	-0.03	36%	19 Dec →
overpass	3–13	0.03	11%	19 Dec →
dust2	8–13	-0.03	9%	19 Dec →
overpass	6–13	0.02	11%	18 Dec →
train	13–4	0.07	20%	18 Dec →
inferno	13–6	0.03	14%	18 Dec →
dust2	13–4	0.02	9%	18 Dec →
ancient	12–12	0.11	10%	17 Dec →
train	8–0	0.01	9%	17 Dec →
nuke	4–13	-0.09	12%	17 Dec →