Schalla — CS2 Stats

76561199604411664[U:1:1644145936]✓ No bans

1,823Tracked matches63%Win rate2024Tracked since

1,632Hours in CS23Hrs last 2 wks

CSDB Rating4.5 DevelopingClutch Specialist

Premier CS Rating5,436Light Blue band · top ~76.7% of ranked players (population est.)

CSDB Leaderboard#14700 of 19222 tracked

Ladder ranks via Leetify

Rating over time

5,436Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 5,436
Next: Blue band at 10,000 — 4,564 to go
Reached: Light Blue band
Light Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim66

Positioning43

Utility24

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWLWWWWWLL

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim6.6

Aggression6.4

Utility2.4

Positioning4.3

Opening Duels1.3

Clutch10.0

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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 79% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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.

T-side openings. Opening success drops from 46% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 668ms 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

Aim6.6

Positioning4.3

Utility2.4

Mechanics4.7

Opening Duels2.0

Win Impact9.3

Composite 4.5/10 (Developing), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time664ms−75ms

first ⅓ avg 739ms → last ⅓ avg 664ms

Headshot accuracy21.4%−1.2%

first ⅓ avg 22.6% → last ⅓ avg 21.4%

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 11–13

13–0Biggest win — nuke

5Longest win streak

9–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 80% over 20infernoWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	42	19–23	45%	0.02
nuke	S	20	16–4	80%	0.05
mirage	A	15	9–6	60%	0.03
inferno	D	8	2–6	25%	0.02
cache	C	7	3–4	43%	0.01
ancient	—	4	0–4	0%	-0.01
anubis	—	4	2–2	50%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,628Lifetime kills

1.97K/D · Top 5% of tracked players

2,084Matches

42.0%Match win rate

66.1%Headshot % · Top 5% of tracked players

0.0%Shot accuracy

5,081MVPs

1,030Hours (in match)

2,038Bombs planted

682Bombs defused

Most-used weapons

AK-4732,859

AWP6,924

M4A4 / M4A1-S5,074

Desert Eagle4,008

SSG 083,176

P2000 / USP-S2,887

Glock-182,414

SG 5532,261

XM10141,837

MP9690

Lifetime map wins

6,056dust2

3,972nuke

1,451inferno

604vertigo

403office

358italy

88train

7ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

3Matches

67%Win rate

0.46Avg K/D

37.9ADR

29%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	1	100%	0.50	5.0
Mirage	1	0%	0.35	7.0
Anubis	1	100%	0.53	8.0

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.

21.3%Headshot accuracy

35.9%Accuracy (enemy spotted)

37.4%Spray accuracy

71.1%Counter-strafing

8.7°Preaim

668msReaction time

24.3%T opening success

46.4%CT opening success

0.30Enemies flashed / flash

6.0%Flash assists

12.72HE damage / grenade

1.75Flashes / 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 0.3009 — 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 24.3434% — 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.

25% win rate across 8 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
dust2	12–16	0.01	24%	27 Aug →
nuke	13–11	0.05	23%	27 Aug →
dust2	5–13	0.04	40%	26 Aug →
mirage	13–6	0.09	17%	26 Aug →
mirage	13–9	0.05	13%	25 Aug →
dust2	16–13	-0.01	25%	25 Aug →
nuke	13–3	0.12	29%	24 Aug →
dust2	13–11	0.12	31%	24 Aug →
dust2	3–13	-0.04	35%	24 Aug →
mirage	7–13	-0.04	20%	24 Aug →
inferno	15–15	0.01	11%	23 Aug →
mirage	13–11	0.11	16%	23 Aug →
dust2	13–5	0.05	21%	23 Aug →
ancient	15–15	-0.03	13%	22 Aug →
nuke	13–5	-0.00	36%	21 Aug →
cache	13–11	0.03	17%	21 Aug →
dust2	13–11	0.05	20%	21 Aug →
mirage	13–4	-0.08	18%	20 Aug →
dust2	11–13	-0.04	16%	19 Aug →
mirage	13–5	0.07	36%	19 Aug →
mirage	9–13	0.03	14%	18 Aug →
inferno	9–13	0.02	19%	18 Aug →
dust2	13–16	-0.07	32%	18 Aug →
dust2	13–5	0.02	24%	18 Aug →
mirage	13–10	0.05	11%	17 Aug →
inferno	15–15	-0.04	15%	17 Aug →
dust2	11–13	0.03	22%	16 Aug →
dust2	13–11	-0.06	10%	13 Aug →
dust2	13–10	0.05	17%	13 Aug →
nuke	9–13	0.05	33%	12 Aug →
dust2	8–13	-0.06	18%	11 Aug →
cache	9–13	0.02	13%	11 Aug →
nuke	13–8	0.05	18%	11 Aug →
dust2	5–13	0.12	27%	11 Aug →
dust2	6–13	0.02	23%	11 Aug →
anubis	13–2	0.11	19%	11 Aug →
dust2	10–13	-0.02	21%	10 Aug →
nuke	16–12	0.09	21%	10 Aug →
dust2	13–10	0.09	37%	9 Aug →
anubis	11–13	0.03	28%	9 Aug →
nuke	3–13	-0.03	29%	9 Aug →
inferno	5–13	-0.03	29%	9 Aug →
dust2	13–9	0.01	21%	6 Aug →
dust2	2–13	0.03	11%	5 Aug →
nuke	12–16	-0.03	37%	5 Aug →
nuke	13–7	0.01	53%	4 Aug →
dust2	7–13	-0.09	13%	4 Aug →
dust2	11–13	0.15	21%	3 Aug →
nuke	13–0	0.13	13%	3 Aug →
ancient	10–13	0.02	24%	3 Aug →
anubis	9–13	-0.00	22%	31 Jul →
nuke	13–10	-0.00	37%	31 Jul →
cache	13–9	0.09	34%	31 Jul →
nuke	13–7	0.03	16%	29 Jul →
dust2	13–6	0.10	33%	29 Jul →
cache	3–13	-0.00	37%	29 Jul →
ancient	10–13	0.01	28%	29 Jul →
nuke	13–10	0.10	23%	28 Jul →
inferno	13–2	0.09	20%	25 Jul →
mirage	13–7	0.08	33%	24 Jul →
dust2	9–13	0.04	22%	24 Jul →
dust2	13–10	0.01	28%	24 Jul →
nuke	13–9	0.07	20%	24 Jul →
inferno	11–13	0.01	14%	24 Jul →
dust2	5–13	-0.03	27%	23 Jul →
nuke	13–3	0.13	29%	23 Jul →
dust2	11–13	-0.02	20%	23 Jul →
mirage	13–8	0.00	22%	22 Jul →
mirage	10–13	0.04	13%	22 Jul →
cache	5–13	-0.11	5%	22 Jul →
dust2	13–11	0.07	30%	22 Jul →
dust2	3–13	-0.03	25%	22 Jul →
nuke	13–9	0.06	24%	21 Jul →
dust2	13–7	0.09	12%	20 Jul →
anubis	13–7	0.08	36%	20 Jul →
dust2	10–13	0.09	17%	20 Jul →
dust2	7–13	-0.04	10%	19 Jul →
cache	13–7	0.02	33%	19 Jul →
dust2	12–16	-0.02	22%	19 Jul →
nuke	13–5	0.12	35%	19 Jul →
inferno	13–4	0.08	21%	19 Jul →
dust2	13–10	0.00	28%	19 Jul →
dust2	13–7	0.05	39%	19 Jul →
mirage	8–13	0.10	24%	19 Jul →
mirage	10–13	0.01	15%	18 Jul →
dust2	13–11	0.00	16%	18 Jul →
cache	14–16	0.06	34%	18 Jul →
dust2	10–13	-0.02	35%	17 Jul →
ancient	3–13	-0.03	7%	17 Jul →
dust2	4–13	-0.03	13%	17 Jul →
nuke	13–8	0.01	17%	17 Jul →
mirage	16–14	-0.00	36%	16 Jul →
nuke	13–7	0.04	26%	16 Jul →
nuke	10–13	0.06	21%	15 Jul →
dust2	13–3	0.15	33%	15 Jul →
dust2	5–13	0.08	10%	14 Jul →
inferno	7–13	-0.01	13%	13 Jul →
dust2	13–6	0.01	26%	13 Jul →
dust2	13–4	0.08	28%	12 Jul →
mirage	15–15	0.01	21%	12 Jul →