Christmas Dawg — CS2 Stats

US76561198279207245[U:1:318941517]Steam profile ↗✓ No bans

304Tracked matches35%Win rate2020Tracked since

1,435Hours in CS23Hrs last 2 wks

CSDB Rating2.6 Learning

Ladder ranks via Leetify

Performance scores

Aim23

Positioning37

Utility46

0–100 skill scores via Leetify.

Recent form

COLD40–43–17Last 10040%Win rateWWLLTLTLLL

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Aim2.3

Aggression1.8

Utility4.6

Positioning3.7

Opening Duels0.0

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 68% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 632ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim2.3

Positioning3.7

Utility4.6

Mechanics3.5

Opening Duels0.0

Win Impact0.0

Composite 2.6/10 (Learning), 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 rating-0.04−0.06

first ⅓ avg 0.02 → last ⅓ avg -0.04

Reaction time636ms−30ms

first ⅓ avg 666ms → last ⅓ avg 636ms

Headshot accuracy13.3%−0.7%

first ⅓ avg 14.0% → last ⅓ avg 13.3%

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 — vertigo 13–5

13–1Biggest win — mirage

4Longest win streak

W2Current streak

9–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 50% over 30vertigoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	30	15–15	50%	-0.03
mirage	C	23	9–14	39%	-0.03
inferno	D	12	4–8	33%	-0.02
cache	C	9	4–5	44%	-0.03
vertigo	D	6	1–5	17%	0.01
dust2	C	5	2–3	40%	-0.01
train	—	4	1–3	25%	-0.03
anubis	—	4	1–3	25%	0.00
office	—	4	1–3	25%	-0.02
ancient	—	2	2–0	100%	0.02
grail	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,495Lifetime kills

1.23K/D · Top 25% of tracked players

2,597Matches

48.3%Match win rate · Top 50% of tracked players

36.8%Headshot %

17.9%Shot accuracy · Top 10% of tracked players

5,198MVPs

700Hours (in match)

2,736Bombs planted

546Bombs defused

Most-used weapons

AK-476,508

M4A4 / M4A1-S4,612

P904,455

MP92,469

MAC-102,243

P2000 / USP-S2,023

Glock-181,339

P2501,259

AWP1,251

XM10141,176

Lifetime map wins

2,423nuke

1,764train

1,373vertigo

1,223inferno

867dust2

536office

106cbble

104italy

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

Skill profile

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

13.5%Headshot accuracy

27.9%Accuracy (enemy spotted)

29.7%Spray accuracy

65.6%Counter-strafing

13.1°Preaim

632msReaction time

24.1%T opening success

30.3%CT opening success

0.70Enemies flashed / flash

3.6%Flash assists

9.86HE damage / grenade

6.19Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.1432° — above the 12° mark we flag
Aim Training →
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 13.508% — below the 15% mark we flag
Aim Training →

Spend your practice time on Vertigo

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–2	-0.04	25%	28 Aug →
train	13–2	-0.04	12%	28 Aug →
dust2	11–13	-0.02	15%	28 Aug →
mirage	9–13	0.01	7%	27 Aug →
mirage	12–12	-0.07	14%	27 Aug →
nuke	2–13	-0.10	14%	27 Aug →
cache	12–12	0.01	12%	27 Aug →
nuke	1–13	-0.02	15%	27 Aug →
mirage	6–13	0.09	8%	27 Aug →
nuke	3–13	-0.08	9%	26 Aug →
cache	12–12	-0.05	4%	26 Aug →
cache	3–13	-0.07	9%	26 Aug →
cache	12–12	-0.03	9%	26 Aug →
cache	13–11	-0.05	11%	26 Aug →
cache	13–7	0.01	16%	25 Aug →
cache	13–11	-0.02	9%	25 Aug →
nuke	1–9	-0.22	8%	23 Aug →
inferno	6–9	-0.13	12%	23 Aug →
cache	12–12	-0.01	10%	22 Aug →
dust2	12–12	0.03	30%	22 Aug →
nuke	8–13	-0.06	5%	22 Aug →
vertigo	3–13	-0.05	17%	21 Aug →
nuke	13–6	-0.03	13%	21 Aug →
nuke	4–13	0.03	13%	21 Aug →
nuke	13–10	-0.03	15%	21 Aug →
nuke	4–13	-0.11	17%	10 Jul →
anubis	12–12	-0.05	17%	10 Jul →
mirage	13–4	-0.09	17%	10 Jul →
office	9–13	-0.09	6%	10 Jul →
vertigo	9–13	-0.01	17%	21 May →
mirage	10–13	-0.08	12%	16 Dec →
inferno	7–13	-0.06	36%	16 Dec →
ancient	13–11	-0.02	10%	26 Sept →
nuke	5–13	-0.08	5%	11 Aug →
nuke	11–13	-0.03	12%	11 Aug →
mirage	12–12	-0.07	5%	25 May →
train	8–13	-0.05	15%	25 May →
grail	8–13	-0.12	19%	25 May →
nuke	13–7	0.01	24%	25 May →
dust2	13–11	-0.02	22%	25 May →
inferno	12–12	-0.02	16%	25 May →
mirage	12–12	-0.08	13%	25 May →
inferno	13–8	0.01	13%	24 May →
mirage	13–10	-0.07	9%	24 May →
vertigo	12–12	-0.04	13%	24 May →
nuke	16–13	-0.03	16%	24 May →
nuke	13–5	-0.03	24%	24 May →
office	13–4	0.01	17%	24 May →
nuke	7–13	-0.06	14%	24 May →
vertigo	4–13	-0.03	16%	24 May →
train	12–12	-0.03	15%	24 May →
inferno	11–13	-0.05	15%	29 Apr →
inferno	10–13	-0.02	15%	31 Mar →
nuke	13–11	-0.03	11%	31 Mar →
mirage	6–13	-0.07	15%	31 Mar →
nuke	2–13	-0.11	13%	25 Mar →
inferno	9–13	-0.02	13%	25 Mar →
anubis	9–13	-0.01	12%	4 Mar →
mirage	11–13	-0.10	10%	3 Mar →
train	10–13	-0.02	22%	3 Mar →
inferno	8–13	-0.05	14%	3 Mar →
nuke	13–3	-0.03	2%	7 Feb →
mirage	7–13	0.02	22%	5 Feb →
mirage	13–9	0.05	11%	4 Jun →
nuke	16–14	0.02	16%	3 Jun →
inferno	15–15	-0.01	17%	30 May →
dust2	8–13	-0.04	25%	30 May →
ancient	13–10	0.06	8%	30 May →
mirage	13–4	0.08	21%	30 May →
nuke	5–13	-0.06	12%	30 May →
anubis	14–16	0.06	19%	29 May →
nuke	13–11	0.02	15%	29 May →
inferno	13–7	0.07	13%	28 May →
inferno	13–7	0.08	18%	28 May →
mirage	13–3	0.08	4%	28 May →
vertigo	11–13	0.03	21%	28 May →
nuke	13–8	0.00	10%	27 May →
vertigo	13–5	0.15	21%	24 May →
nuke	13–7	0.04	7%	24 May →
office	12–12	0.10	8%	24 May →
mirage	0–5	-0.14	33%	24 May →
nuke	5–13	0.03	13%	24 May →
nuke	11–13	0.04	13%	9 May →
mirage	13–8	0.02	18%	7 May →
nuke	13–5	0.08	10%	2 May →
nuke	12–12	-0.00	15%	1 May →
mirage	13–6	0.08	10%	1 May →
mirage	9–13	-0.04	11%	29 Apr →
mirage	13–1	0.09	15%	29 Apr →
mirage	13–11	-0.01	10%	29 Apr →
anubis	13–10	0.02	5%	29 Apr →
mirage	12–12	-0.01	18%	26 Apr →
nuke	13–4	0.09	16%	26 Apr →
nuke	13–11	0.01	13%	25 Apr →
dust2	13–6	-0.01	13%	25 Apr →
mirage	8–13	-0.13	10%	25 Apr →
nuke	13–4	-0.06	17%	23 Apr →
office	11–13	-0.10	26%	23 Apr →
mirage	12–12	-0.11	5%	23 Apr →
inferno	8–1	-0.02	17%	23 Apr →