schlitten — CS2 Stats

76561198048472508[U:1:88206780]

3,396Tracked matches34%Win rate2020Tracked since

7,959Hours in CS2Hrs last 2 wks

CSDB Rating5.8 SolidHybrid Rifler

Premier CS Rating24,027Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)

CSDB Leaderboard#5331 of 29008 tracked

FaceitLevel 10 · 2,364 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	53.5%	52.0%
Shot accuracy	17.0%	13.7%
Kill/death ratio	1.11	1.08
Match win rate	46.6%	48.8%

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Performance scores

Aim81

Positioning50

Utility71

0–100 skill scores via Leetify.

Recent form

COLD41–58–1Last 10041%Win rateWWLLLTLWLL

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.1

Aggression5.6

Utility7.1

Positioning5.0

Opening Duels1.4

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 Twistzz 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Reaction time. 567ms 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

Positioning5.0

Utility7.1

Mechanics7.0

Opening Duels1.6

Win Impact0.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time563ms−29ms

first ⅓ avg 592ms → last ⅓ avg 563ms

Headshot accuracy20.2%−8.0%

first ⅓ avg 28.2% → last ⅓ avg 20.2%

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 — dust2 8–0

13–1Biggest win — anubis

5Longest win streak

W2Current streak

5–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 67% over 6dust2Weakest map · 22% over 23

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	23	5–18	22%	0.01
inferno	C	19	7–12	37%	0.01
cache	B	15	8–7	53%	0.03
ancient	B	13	6–7	46%	-0.00
anubis	A	12	7–5	58%	0.01
mirage	C	7	3–4	43%	-0.01
nuke	S	6	4–2	67%	0.03
overpass	—	3	0–3	0%	-0.00
train	—	1	0–1	0%	0.01
warden	—	1	1–0	100%	-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

275,478Lifetime kills

1.11K/D · Top 50% of Level 10 players

8,297Matches

46.6%Match win rate

53.5%Headshot % · Top 50% of Level 10 players

17.0%Shot accuracy · Top 25% of Level 10 players

23,421MVPs

5,175Hours (in match)

6,012Bombs planted

2,117Bombs defused

Most-used weapons

AK-47101,516

M4A4 / M4A1-S41,508

AWP40,999

Desert Eagle26,312

P2000 / USP-S12,519

Galil AR9,034

Glock-187,279

P2506,060

Knife4,056

FAMAS3,586

Lifetime map wins

18,134inferno

13,389dust2

7,461nuke

2,975train

2,063cbble

2,027vertigo

410office

161lake

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

Faceit stats

Combat

1,494Matches

52%Win rate

0.99Avg K/D

78.0ADR

47%Headshot %

Clutches & streaks

39%1v1 clutch win

24%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	138	43%	0.88	14.1
Ancient	118	46%	0.94	14.5
Dust2	111	54%	1.02	15.7
Inferno	107	63%	1.04	15.9
Anubis	91	57%	1.00	15.3
Nuke	59	49%	0.97	15.1
Overpass	23	43%	0.79	12.5
Train	23	61%	0.98	13.8

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.

20.8%Headshot accuracy

37.3%Accuracy (enemy spotted)

41.4%Spray accuracy

81.5%Counter-strafing

10.1°Preaim

567msReaction time

28.2%T opening success

43.0%CT opening success

0.60Enemies flashed / flash

9.0%Flash assists

9.32HE damage / grenade

17.66Flashes / 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 28.1611% — 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.

22% win rate across 23 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
inferno	13–10	0.06	17%	15 Aug →
anubis	13–11	0.05	30%	15 Aug →
ancient	9–13	-0.07	14%	31 Jul →
dust2	3–13	-0.01	17%	31 Jul →
inferno	3–13	0.01	20%	30 Jul →
cache	15–15	0.09	19%	30 Jul →
anubis	8–13	-0.01	29%	25 Jul →
ancient	13–9	-0.03	11%	25 Jul →
mirage	11–13	0.02	29%	25 Jul →
nuke	4–13	0.00	26%	25 Jul →
cache	11–13	0.01	18%	25 Jul →
mirage	6–13	0.00	12%	25 Jul →
dust2	4–13	0.03	19%	24 Jul →
inferno	9–13	0.07	22%	24 Jul →
cache	13–3	0.02	14%	24 Jul →
ancient	13–6	0.08	17%	24 Jul →
dust2	8–13	0.01	21%	24 Jul →
inferno	5–13	-0.04	18%	24 Jul →
inferno	13–2	0.04	10%	23 Jul →
ancient	6–2	-0.00	17%	23 Jul →
dust2	9–13	0.00	17%	23 Jul →
cache	10–13	-0.05	27%	22 Jul →
nuke	8–13	0.02	33%	22 Jul →
cache	13–7	0.09	19%	21 Jul →
anubis	13–10	0.05	22%	21 Jul →
nuke	16–12	0.02	29%	18 Jul →
ancient	9–13	-0.00	15%	18 Jul →
inferno	10–13	0.08	30%	17 Jul →
dust2	0–13	-0.08	13%	17 Jul →
inferno	8–13	0.01	22%	17 Jul →
ancient	14–16	-0.02	21%	16 Jul →
cache	10–13	0.07	26%	16 Jul →
inferno	7–13	-0.01	11%	16 Jul →
anubis	13–7	0.01	21%	11 Jul →
inferno	16–12	0.01	7%	11 Jul →
cache	13–6	0.09	21%	11 Jul →
cache	13–7	0.13	33%	11 Jul →
dust2	7–13	0.02	16%	4 Jul →
inferno	9–13	0.02	21%	4 Jul →
dust2	3–13	0.05	24%	4 Jul →
mirage	13–5	-0.00	16%	3 Jul →
ancient	13–11	-0.03	15%	3 Jul →
inferno	16–12	0.07	30%	1 Jul →
dust2	9–13	-0.02	15%	1 Jul →
anubis	5–13	0.00	39%	30 Jun →
dust2	6–13	-0.03	20%	30 Jun →
dust2	7–13	0.05	27%	24 Jun →
inferno	13–7	-0.01	21%	24 Jun →
dust2	13–10	0.08	15%	23 Jun →
inferno	2–13	-0.07	9%	23 Jun →
inferno	7–13	-0.02	16%	23 Jun →
ancient	10–13	0.07	25%	23 Jun →
dust2	10–13	0.04	12%	23 Jun →
mirage	6–13	-0.10	16%	23 Jun →
inferno	13–10	0.03	18%	23 Jun →
anubis	13–6	0.04	24%	23 Jun →
mirage	5–3	-0.04	20%	23 Jun →
dust2	13–10	0.02	29%	23 Jun →
ancient	13–7	0.07	28%	23 Jun →
dust2	2–13	-0.06	46%	19 Jun →
nuke	16–14	0.04	23%	18 Jun →
inferno	13–10	0.02	23%	18 Jun →
cache	9–13	-0.03	42%	18 Jun →
cache	3–13	-0.03	19%	18 Jun →
dust2	13–7	-0.05	13%	18 Jun →
ancient	13–10	0.04	17%	17 Jun →
nuke	13–3	0.08	15%	17 Jun →
dust2	7–13	0.04	30%	17 Jun →
anubis	13–6	-0.05	26%	16 Jun →
inferno	10–13	-0.03	17%	16 Jun →
mirage	13–7	0.06	23%	16 Jun →
ancient	3–13	-0.05	27%	16 Jun →
anubis	13–1	0.09	76%	14 Jun →
cache	13–6	0.02	20%	14 Jun →
anubis	10–13	-0.02	17%	14 Jun →
dust2	8–0	0.14	50%	14 Jun →
train	11–13	0.01	29%	12 Jun →
cache	13–6	0.08	27%	12 Jun →
dust2	4–13	0.04	43%	12 Jun →
inferno	7–13	0.01	26%	11 Jun →
overpass	11–13	0.06	28%	11 Jun →
ancient	5–13	-0.04	33%	11 Jun →
overpass	10–13	0.02	24%	10 Jun →
cache	9–13	0.01	24%	10 Jun →
anubis	11–13	-0.07	13%	6 Jun →
warden	13–10	-0.08	36%	4 Jun →
cache	13–5	0.04	19%	4 Jun →
dust2	14–16	-0.07	24%	4 Jun →
ancient	4–13	-0.02	34%	28 May →
anubis	9–13	-0.01	17%	24 May →
dust2	3–13	-0.07	23%	24 May →
dust2	8–13	0.01	41%	24 May →
cache	13–11	-0.03	31%	20 May →
inferno	10–13	-0.04	17%	12 May →
overpass	3–13	-0.09	7%	12 May →
dust2	13–8	-0.01	41%	12 May →
mirage	8–13	-0.03	27%	12 May →
dust2	10–13	0.09	22%	9 May →
nuke	16–12	0.04	27%	9 May →
anubis	13–9	0.05	29%	9 May →