Davo — CS2 Stats

SI76561198016209663[U:1:55943935]Steam profile ↗✓ No bans

2,317Tracked matches57%Win rate2023Tracked since

2,406Hours in CS34Hrs last 2 wks

CSDB Rating5.8 SolidHybrid Rifler

Premier CS Rating18,614Purple band · top ~14% of ranked players (population est.)

CSDB Leaderboard#21915 of 47558 tracked

WingmanGold Nova I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	38.9%	44.2%	47.1%	8.2% short
Shot accuracy	6.0%	11.6%	12.8%	6.8% short
Kill/death ratio	1.00	1.03	1.08	0.08 short
Match win rate	43.6%	45.2%	46.6%	3.0% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim69

Positioning58

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLLWLLWWWLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.9

Aggression7.3

Utility6.3

Positioning5.8

Opening Duels2.9

Clutch2.8

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 b1t 93% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 566ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim6.9

Positioning5.8

Utility6.3

Mechanics4.4

Opening Duels2.9

Win Impact7.2

Composite 5.8/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time571ms−3ms

first ⅓ avg 574ms → last ⅓ avg 571ms

Headshot accuracy13.9%+0.0%

first ⅓ avg 13.9% → last ⅓ avg 13.9%

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

0.19Best rating — debris 9–3

13–1Biggest win — ancient

5Longest win streak

L2Current streak

9–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 69% over 13cacheWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	22	9–13	41%	0.00
ancient	B	17	9–8	53%	0.01
dust2	A	14	8–6	57%	0.04
anubis	S	13	9–4	69%	0.01
cache	D	12	4–8	33%	0.01
nuke	A	11	7–4	64%	-0.01
mirage	C	9	4–5	44%	-0.01
debris	—	1	1–0	100%	0.19
eldorado	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Lifetime stats

60,701Lifetime kills

1.00K/D

3,969Matches

43.6%Match win rate

38.9%Headshot %

6.0%Shot accuracy

6,421MVPs

1,270Hours (in match)

2,458Bombs planted

741Bombs defused

Most-used weapons

AK-4714,533

M4A4 / M4A1-S10,275

AWP5,504

Desert Eagle3,567

P2000 / USP-S3,341

MP92,184

Glock-182,052

MAC-101,995

Galil AR1,934

SSG 081,759

Lifetime map wins

5,626inferno

4,504dust2

2,979nuke

1,213vertigo

760train

153safehouse

93ar_shoots

72lake

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

Faceit stats

Combat

63Matches

59%Win rate

1.21Avg K/D

84.6ADR

45%Headshot %

Clutches & streaks

34%1v1 clutch win

26%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	25	48%	1.04	14.8
Dust2	15	60%	1.17	16.2
Ancient	9	89%	1.18	15.8
Nuke	6	17%	1.00	15.0
Inferno	5	80%	2.59	17.8
Overpass	2	100%	0.92	15.0
Train	1	100%	1.20	30.0

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.

14.1%Headshot accuracy

38.4%Accuracy (enemy spotted)

38.4%Spray accuracy

70.0%Counter-strafing

8.7°Preaim

566msReaction time

39.7%T opening success

43.7%CT opening success

0.64Enemies flashed / flash

5.2%Flash assists

9.62HE damage / grenade

5.78Flashes / 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.

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 14.1049% — below the 15% mark we flag
Aim Training →
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 39.6509% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	5–13	-0.02	11%	30 Aug →
ancient	11–13	-0.01	14%	30 Aug →
nuke	13–11	0.02	12%	30 Aug →
nuke	6–13	-0.03	26%	30 Aug →
mirage	9–13	-0.06	11%	30 Aug →
dust2	13–11	0.02	8%	30 Aug →
anubis	13–10	-0.00	15%	30 Aug →
dust2	13–10	0.02	15%	29 Aug →
cache	7–13	-0.01	19%	29 Aug →
inferno	13–9	0.02	11%	29 Aug →
nuke	13–8	0.01	16%	29 Aug →
cache	13–3	0.02	11%	29 Aug →
mirage	13–4	-0.03	18%	29 Aug →
mirage	3–13	0.00	11%	28 Aug →
inferno	10–13	-0.02	10%	28 Aug →
ancient	13–4	0.01	9%	28 Aug →
ancient	16–13	0.11	11%	27 Aug →
inferno	13–3	-0.01	16%	27 Aug →
anubis	13–8	-0.03	8%	27 Aug →
inferno	14–16	-0.00	10%	27 Aug →
dust2	3–13	0.02	10%	26 Aug →
anubis	16–14	0.07	15%	23 Aug →
anubis	12–16	0.01	18%	23 Aug →
ancient	11–13	-0.01	14%	22 Aug →
ancient	9–13	-0.04	9%	22 Aug →
nuke	13–9	0.01	17%	22 Aug →
inferno	13–4	0.09	14%	22 Aug →
debris	9–3	0.19	15%	22 Aug →
eldorado	9–3	0.03	13%	22 Aug →
dust2	13–16	0.09	25%	22 Aug →
dust2	13–8	0.07	18%	22 Aug →
nuke	13–7	-0.01	20%	22 Aug →
cache	13–16	-0.05	11%	21 Aug →
anubis	13–9	0.05	15%	21 Aug →
inferno	8–13	0.09	17%	21 Aug →
dust2	13–6	0.06	15%	21 Aug →
dust2	13–6	0.03	34%	20 Aug →
ancient	13–2	0.12	8%	20 Aug →
dust2	13–6	0.03	19%	20 Aug →
nuke	13–10	-0.03	14%	19 Aug →
inferno	15–15	0.03	14%	19 Aug →
anubis	13–9	-0.00	20%	19 Aug →
cache	12–16	-0.03	14%	17 Aug →
cache	16–12	0.06	10%	17 Aug →
ancient	13–11	0.00	20%	16 Aug →
nuke	13–5	-0.00	13%	16 Aug →
ancient	6–13	-0.06	9%	16 Aug →
inferno	6–13	-0.03	18%	16 Aug →
anubis	13–9	0.04	18%	16 Aug →
ancient	13–11	0.03	9%	16 Aug →
cache	4–13	-0.05	14%	16 Aug →
dust2	3–13	0.03	13%	16 Aug →
anubis	4–13	-0.02	12%	16 Aug →
nuke	7–13	-0.09	25%	15 Aug →
inferno	13–9	0.02	12%	15 Aug →
cache	13–6	0.04	10%	15 Aug →
anubis	13–5	-0.02	14%	15 Aug →
dust2	13–16	0.01	14%	15 Aug →
nuke	11–13	0.03	18%	15 Aug →
dust2	2–13	-0.01	5%	15 Aug →
inferno	8–13	0.04	13%	14 Aug →
ancient	13–10	0.02	9%	14 Aug →
cache	6–13	0.06	24%	14 Aug →
anubis	9–13	-0.04	12%	14 Aug →
anubis	10–13	-0.01	13%	14 Aug →
inferno	6–13	-0.05	12%	14 Aug →
inferno	5–13	-0.04	20%	13 Aug →
cache	6–13	-0.04	8%	13 Aug →
ancient	13–7	0.05	7%	13 Aug →
dust2	11–13	-0.03	11%	13 Aug →
ancient	13–1	0.03	18%	12 Aug →
dust2	13–9	0.07	18%	12 Aug →
anubis	13–10	0.02	13%	12 Aug →
mirage	10–13	0.04	14%	12 Aug →
mirage	13–8	-0.02	15%	12 Aug →
inferno	9–13	-0.06	15%	11 Aug →
ancient	11–13	-0.01	18%	11 Aug →
anubis	13–8	0.03	18%	11 Aug →
nuke	9–13	-0.01	22%	11 Aug →
inferno	13–9	-0.01	9%	11 Aug →
cache	8–13	0.02	13%	11 Aug →
cache	12–16	0.00	14%	10 Aug →
ancient	13–11	0.00	11%	10 Aug →
dust2	13–2	0.11	18%	10 Aug →
inferno	5–13	-0.06	14%	10 Aug →
inferno	13–8	0.03	18%	10 Aug →
mirage	5–13	-0.06	19%	10 Aug →
ancient	4–13	-0.01	15%	10 Aug →
inferno	13–11	0.01	10%	10 Aug →
mirage	9–13	0.05	13%	9 Aug →
ancient	2–13	-0.07	11%	9 Aug →
mirage	13–7	-0.01	10%	9 Aug →
inferno	8–13	0.04	11%	9 Aug →
nuke	13–9	0.03	13%	8 Aug →
ancient	6–13	0.02	24%	8 Aug →
inferno	13–9	0.07	17%	8 Aug →
inferno	9–13	-0.06	11%	8 Aug →
inferno	13–11	-0.02	12%	8 Aug →
mirage	13–11	-0.04	12%	8 Aug →
cache	13–4	0.05	10%	7 Aug →