Ahlquist — CS2 Stats

DK76561197966404708[U:1:6138980]Steam profile ↗✓ No bans

2,290Tracked matches57%Win rate2020Tracked since

CSDB Rating5.5 Solid

FaceitLevel 10 · 2,058 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim57

Positioning58

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWWTLLWLLWW

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Aim5.7

Aggression4.8

Utility6.9

Positioning5.8

Opening Duels1.6

Clutch3.8

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 NiKo 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 45% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 628ms 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

Aim5.7

Positioning5.8

Utility6.9

Mechanics4.7

Opening Duels1.8

Win Impact7.4

Composite 5.5/10 (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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time632ms+25ms

first ⅓ avg 607ms → last ⅓ avg 632ms

Headshot accuracy21.9%+0.9%

first ⅓ avg 20.9% → last ⅓ avg 21.9%

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

0.24Best rating — vertigo 9–4

13–1Biggest win — overpass

5Longest win streak

W2Current streak

13–13In matches decided by ≤2 rounds

17Overtime games

Map breakdown

trainBest map · 80% over 5ancientWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	19	8–11	42%	0.00
inferno	A	18	11–7	61%	0.00
nuke	B	17	8–9	47%	-0.00
mirage	A	16	9–7	56%	0.00
ancient	D	9	2–7	22%	-0.00
overpass	D	9	3–6	33%	0.01
train	S	5	4–1	80%	-0.01
cache	—	2	2–0	100%	0.08
anubis	—	2	2–0	100%	-0.08
rooftop	—	2	2–0	100%	0.09
vertigo	—	1	1–0	100%	0.24

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,403Matches

54%Win rate

0.95Avg K/D

68.3ADR

52%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	280	55%	0.97	13.5
Dust2	216	60%	1.00	13.6
Mirage	212	52%	0.86	13.3
Nuke	181	55%	0.96	13.6
Ancient	103	49%	0.94	14.2
Vertigo	77	57%	0.97	13.8
Anubis	68	50%	1.00	15.5
Overpass	55	58%	0.83	12.2

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

22.2%Headshot accuracy

31.1%Accuracy (enemy spotted)

33.2%Spray accuracy

71.2%Counter-strafing

9.8°Preaim

628msReaction time

28.4%T opening success

44.6%CT opening success

0.75Enemies flashed / flash

9.1%Flash assists

5.95HE damage / grenade

15.95Flashes / 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.

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 28.3538% — below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–7	0.01	28%	21 Jun →
cache	13–9	0.15	27%	21 Jun →
dust2	12–12	0.02	22%	22 Mar →
dust2	6–13	0.00	27%	21 Mar →
mirage	7–13	-0.03	28%	21 Mar →
anubis	5–1	-0.12	25%	21 Mar →
ancient	4–13	-0.06	23%	19 Mar →
ancient	5–13	-0.01	27%	10 Mar →
overpass	13–1	0.10	31%	10 Mar →
dust2	13–11	-0.01	36%	8 Mar →
mirage	13–4	0.06	22%	8 Mar →
inferno	13–6	0.05	28%	8 Mar →
mirage	13–10	0.00	18%	21 Feb →
dust2	15–15	-0.00	14%	25 Jan →
anubis	13–10	-0.03	11%	24 Jan →
inferno	16–14	-0.06	29%	18 Jan →
mirage	13–7	0.04	22%	18 Jan →
nuke	13–4	-0.02	19%	18 Jan →
dust2	16–14	0.03	24%	18 Jan →
dust2	14–16	0.05	17%	17 Jan →
nuke	3–13	-0.04	12%	17 Jan →
nuke	12–16	-0.04	18%	28 Dec →
ancient	11–13	-0.00	30%	28 Dec →
nuke	14–16	0.00	13%	28 Dec →
inferno	13–6	-0.00	14%	27 Dec →
mirage	6–13	0.00	17%	27 Dec →
dust2	12–16	-0.00	32%	27 Dec →
nuke	16–13	0.09	17%	27 Dec →
nuke	5–12	-0.05	12%	27 Dec →
mirage	13–9	-0.03	29%	27 Dec →
overpass	3–13	-0.07	15%	26 Dec →
dust2	13–9	0.00	20%	19 Dec →
dust2	13–7	0.05	14%	18 Dec →
inferno	9–13	-0.03	35%	17 Dec →
overpass	14–16	0.03	14%	13 Dec →
ancient	10–13	-0.00	24%	11 Dec →
inferno	13–7	0.08	23%	10 Dec →
inferno	13–11	-0.01	21%	10 Dec →
inferno	10–13	0.00	22%	8 Dec →
nuke	9–2	0.07	13%	4 Dec →
rooftop	9–3	0.04	21%	4 Dec →
vertigo	9–4	0.24	47%	4 Dec →
dust2	13–8	0.02	35%	12 Nov →
overpass	10–13	-0.01	30%	12 Nov →
nuke	11–13	0.02	16%	8 Nov →
train	13–10	-0.03	30%	8 Nov →
nuke	15–15	0.01	18%	6 Nov →
inferno	11–13	0.00	19%	5 Nov →
ancient	8–13	-0.00	25%	3 Nov →
nuke	13–10	0.05	18%	2 Nov →
ancient	7–13	0.03	31%	2 Nov →
ancient	13–9	0.05	29%	2 Nov →
nuke	10–13	0.00	27%	2 Nov →
dust2	2–13	-0.00	23%	2 Nov →
overpass	8–13	0.01	24%	2 Nov →
ancient	13–16	-0.00	30%	1 Nov →
nuke	13–11	-0.08	20%	1 Nov →
overpass	13–10	0.03	16%	1 Nov →
mirage	16–14	0.01	26%	1 Nov →
dust2	8–13	0.02	33%	31 Oct →
inferno	16–14	0.08	23%	31 Oct →
dust2	5–13	-0.05	25%	31 Oct →
nuke	13–7	0.05	15%	31 Oct →
ancient	13–11	-0.01	13%	31 Oct →
dust2	8–13	-0.04	28%	29 Oct →
mirage	11–13	0.01	24%	26 Oct →
rooftop	9–7	0.13	23%	9 Oct →
train	13–11	-0.00	33%	5 Oct →
inferno	0–13	-0.03	27%	5 Oct →
mirage	14–16	-0.05	25%	5 Oct →
train	22–19	-0.01	21%	5 Oct →
mirage	11–13	0.02	19%	3 Oct →
nuke	13–6	0.02	20%	3 Oct →
dust2	13–6	0.04	19%	3 Oct →
inferno	13–4	-0.01	29%	30 Sept →
mirage	13–7	0.02	19%	28 Sept →
inferno	11–13	0.01	19%	27 Sept →
dust2	5–13	-0.06	13%	16 Sept →
mirage	13–9	-0.02	27%	15 Sept →
overpass	4–13	-0.02	33%	12 Sept →
inferno	13–6	0.05	26%	12 Sept →
mirage	13–11	0.01	15%	9 Sept →
dust2	5–13	-0.04	15%	5 Sept →
mirage	11–13	-0.06	20%	5 Sept →
train	13–8	0.01	24%	5 Sept →
nuke	0–10	-0.06	20%	31 Aug →
train	7–13	-0.01	30%	31 Aug →
inferno	13–9	-0.01	22%	31 Aug →
dust2	13–4	-0.06	11%	25 Aug →
inferno	19–17	0.02	19%	24 Aug →
overpass	13–11	-0.03	11%	22 Aug →
inferno	6–13	-0.05	29%	21 Aug →
dust2	13–6	0.04	24%	19 Aug →
overpass	10–13	0.04	3%	14 Aug →
mirage	8–13	-0.03	20%	10 Aug →
inferno	13–4	-0.03	13%	10 Aug →
inferno	14–16	-0.03	17%	10 Aug →
nuke	11–13	-0.06	16%	9 Aug →
mirage	13–7	0.09	33%	9 Aug →
nuke	13–10	-0.01	20%	9 Aug →