Stallan — CS2 Stats

GB76561198805441746[U:1:845176018]Steam profile ↗✓ No bans

1,908Tracked matches60%Win rate2020Tracked since

CSDB Rating5.8 SolidAggressive Rifler

FaceitLevel 7 · 1,165 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning57

Utility48

0–100 skill scores via Leetify.

Recent form

HOT51–47–2Last 10051%Win rateWWWWLLLWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

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

Aim8.1

Aggression7.6

Utility4.8

Positioning5.7

Opening Duels2.6

Clutch3.4

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 b1t 91% 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 555ms 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

Aim8.1

Positioning5.7

Utility4.8

Mechanics7.4

Opening Duels2.6

Win Impact8.3

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time558ms+14ms

first ⅓ avg 544ms → last ⅓ avg 558ms

Headshot accuracy26.7%+2.4%

first ⅓ avg 24.2% → last ⅓ avg 26.7%

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

0.14Best rating — vertigo 13–11

13–0Biggest win — anubis

7Longest win streak

W4Current streak

6–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 78% over 9dust2Weakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	22	13–9	59%	0.01
inferno	A	17	10–7	59%	0.01
ancient	D	15	5–10	33%	0.02
mirage	B	13	6–7	46%	-0.00
dust2	D	11	3–8	27%	-0.01
cache	C	10	4–6	40%	0.01
nuke	S	9	7–2	78%	0.01
overpass	—	2	2–0	100%	-0.04
vertigo	—	1	1–0	100%	0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

321Matches

50%Win rate

1.20Avg K/D

81.0ADR

52%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	75	48%	1.18	16.9
Anubis	34	68%	1.20	15.8
Inferno	33	55%	1.21	16.6
Ancient	32	41%	1.25	17.3
Dust2	31	26%	1.09	15.7
Nuke	24	75%	1.25	14.6
Overpass	22	55%	1.32	17.9
Cache	12	58%	1.21	15.9

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.

26.3%Headshot accuracy

32.4%Accuracy (enemy spotted)

34.2%Spray accuracy

83.4%Counter-strafing

8.9°Preaim

555msReaction time

38.5%T opening success

42.4%CT opening success

0.54Enemies flashed / flash

3.7%Flash assists

5.55HE damage / grenade

9.28Flashes / 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
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 38.4701% — below the 40% mark we flag

Spend your practice time on Dust 2

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–11	0.14	21%	29 Aug →
inferno	13–5	0.14	19%	29 Aug →
mirage	22–20	0.03	33%	29 Aug →
anubis	19–16	-0.07	9%	28 Aug →
dust2	7–13	-0.05	27%	28 Aug →
anubis	7–13	-0.11	12%	27 Aug →
ancient	11–13	0.00	31%	27 Aug →
anubis	13–7	0.07	32%	27 Aug →
nuke	16–13	-0.05	30%	24 Aug →
cache	13–4	0.07	33%	24 Aug →
ancient	13–4	0.01	21%	24 Aug →
mirage	13–7	0.00	40%	24 Aug →
anubis	13–2	-0.01	19%	24 Aug →
anubis	13–9	0.02	29%	24 Aug →
inferno	6–9	0.07	30%	24 Aug →
ancient	11–13	-0.02	18%	22 Aug →
ancient	4–13	-0.05	34%	22 Aug →
mirage	8–13	-0.01	41%	21 Aug →
inferno	10–13	-0.05	32%	19 Aug →
cache	3–13	-0.01	26%	19 Aug →
inferno	13–10	0.01	19%	16 Aug →
dust2	5–13	0.10	24%	16 Aug →
inferno	11–13	-0.04	36%	10 Aug →
anubis	13–5	0.05	34%	10 Aug →
nuke	13–6	0.04	36%	10 Aug →
mirage	13–11	-0.03	37%	10 Aug →
anubis	7–13	0.04	22%	10 Aug →
cache	7–13	-0.07	21%	9 Aug →
ancient	13–10	-0.01	10%	8 Aug →
dust2	16–14	0.02	26%	8 Aug →
cache	16–13	-0.02	20%	31 Jul →
cache	9–13	-0.02	27%	25 Jul →
anubis	13–6	0.02	31%	25 Jul →
mirage	13–8	-0.00	11%	25 Jul →
dust2	6–13	0.02	32%	25 Jul →
nuke	13–2	0.10	26%	25 Jul →
ancient	7–13	-0.01	23%	25 Jul →
inferno	13–9	-0.04	39%	25 Jul →
cache	13–5	0.11	23%	25 Jul →
anubis	13–10	0.03	18%	25 Jul →
nuke	13–6	-0.05	23%	25 Jul →
cache	1–8	0.01	11%	25 Jul →
inferno	13–9	0.02	22%	25 Jul →
dust2	10–13	-0.00	21%	24 Jul →
anubis	1–13	0.01	21%	24 Jul →
ancient	13–9	0.12	32%	24 Jul →
dust2	13–5	0.03	30%	21 Jul →
anubis	13–9	0.07	19%	21 Jul →
ancient	6–13	-0.01	19%	21 Jul →
dust2	6–13	-0.00	22%	20 Jul →
anubis	12–16	-0.01	27%	20 Jul →
ancient	13–2	0.11	36%	20 Jul →
anubis	11–13	-0.01	16%	19 Jul →
nuke	9–4	0.11	29%	18 Jul →
inferno	14–16	0.01	21%	17 Jul →
mirage	12–12	-0.05	34%	16 Jul →
anubis	11–13	-0.07	46%	10 Jul →
ancient	9–13	0.02	25%	10 Jul →
cache	13–9	0.10	15%	5 Jul →
mirage	6–13	0.02	33%	3 Jul →
inferno	13–11	-0.04	27%	28 Jun →
anubis	6–13	-0.04	17%	20 Jun →
inferno	13–6	0.06	28%	20 Jun →
ancient	16–13	0.06	22%	18 Jun →
inferno	13–9	-0.02	19%	18 Jun →
dust2	3–13	-0.07	12%	18 Jun →
inferno	11–13	-0.00	8%	18 Jun →
mirage	13–10	-0.01	19%	18 Jun →
overpass	13–10	-0.07	11%	18 Jun →
anubis	13–5	0.10	21%	18 Jun →
nuke	4–13	0.01	18%	18 Jun →
ancient	15–15	0.02	18%	17 Jun →
mirage	13–5	0.09	27%	15 Jun →
anubis	13–5	0.02	21%	15 Jun →
inferno	13–9	-0.01	34%	15 Jun →
dust2	8–13	-0.03	30%	15 Jun →
inferno	13–5	0.02	30%	15 Jun →
dust2	9–13	-0.07	10%	15 Jun →
anubis	13–0	0.03	38%	14 Jun →
nuke	11–13	-0.03	12%	14 Jun →
anubis	11–13	-0.02	26%	12 Jun →
ancient	8–13	0.01	12%	12 Jun →
anubis	9–13	0.02	24%	12 Jun →
inferno	13–6	0.04	21%	12 Jun →
cache	5–13	-0.01	30%	12 Jun →
ancient	13–16	0.00	22%	12 Jun →
mirage	4–13	-0.06	23%	12 Jun →
cache	11–13	-0.01	20%	12 Jun →
inferno	10–13	0.01	18%	11 Jun →
dust2	13–9	-0.01	49%	11 Jun →
ancient	7–13	0.04	23%	11 Jun →
inferno	4–13	-0.08	38%	10 Jun →
nuke	13–11	-0.06	35%	10 Jun →
mirage	10–13	-0.02	24%	10 Jun →
nuke	13–7	0.01	40%	10 Jun →
anubis	13–4	-0.01	24%	10 Jun →
mirage	10–13	-0.03	16%	10 Jun →
overpass	13–10	-0.02	15%	9 Jun →
mirage	6–13	0.03	26%	9 Jun →
anubis	13–1	0.08	25%	9 Jun →