keeperPeace — CS2 Stats

76561198869852270[U:1:909586542]Steam profile ↗✓ No bans

405Tracked matches56%Win rate2026Tracked since

290Hours in CS3Hrs last 2 wks

CSDB Rating4.2 Developing

WingmanGold Nova II

Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-30

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

Performance scores

Aim48

Positioning39

Utility49

0–100 skill scores via Leetify.

Recent form

COLD52–43–5Last 10052%Win rateLLLLWLLWLW

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

Aim4.8

Aggression4.1

Utility4.9

Positioning3.9

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 75% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 636ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim4.8

Positioning3.9

Utility4.9

Mechanics3.1

Opening Duels0.5

Win Impact6.9

Composite 4.2/10 (Developing), 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-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time654ms−15ms

first ⅓ avg 670ms → last ⅓ avg 654ms

Headshot accuracy15.0%+0.4%

first ⅓ avg 14.6% → last ⅓ avg 15.0%

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 — mirage 13–2

13–1Biggest win — inferno

5Longest win streak

L4Current streak

6–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	17–13	57%	0.00
mirage	B	21	11–10	52%	-0.01
inferno	B	15	8–7	53%	-0.02
ancient	D	9	3–6	33%	-0.03
nuke	A	9	5–4	56%	-0.01
anubis	A	5	3–2	60%	-0.01
cache	—	4	3–1	75%	-0.02
overpass	—	3	0–3	0%	-0.02
train	—	2	2–0	100%	-0.01
vertigo	—	2	0–2	0%	-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,403Lifetime kills

1.02K/D

434Matches

57.1%Match win rate · Top 5% of tracked players

37.2%Headshot %

0.0%Shot accuracy

935MVPs

160Hours (in match)

410Bombs planted

125Bombs defused

Most-used weapons

AK-471,204

M4A4 / M4A1-S1,169

AWP880

MP7647

Galil AR476

Desert Eagle452

SSG 08291

P2000 / USP-S274

Glock-18256

Dual Berettas198

Lifetime map wins

1,009inferno

1,006dust2

616nuke

171vertigo

82train

22office

5italy

1assault

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.

14.5%Headshot accuracy

35.4%Accuracy (enemy spotted)

34.0%Spray accuracy

63.8%Counter-strafing

9.3°Preaim

636msReaction time

25.9%T opening success

33.9%CT opening success

0.56Enemies flashed / flash

3.5%Flash assists

6.06HE damage / grenade

8.48Flashes / 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 14.5401% — 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 25.8772% — below the 40% mark we flag

Spend your practice time on Ancient

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 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	1–11	-0.10	10%	24 Aug →
ancient	8–13	-0.09	8%	23 Aug →
mirage	9–13	-0.05	21%	22 Aug →
inferno	6–13	-0.02	20%	21 Aug →
nuke	13–7	-0.04	10%	18 Aug →
ancient	11–13	-0.04	12%	2 Aug →
dust2	6–8	0.01	45%	2 Aug →
dust2	13–7	-0.01	15%	30 Jul →
dust2	6–13	-0.11	12%	29 Jun →
mirage	13–10	0.06	19%	27 Jun →
dust2	13–7	-0.02	13%	25 Jun →
dust2	13–2	0.03	15%	25 Jun →
dust2	11–13	-0.04	30%	24 Jun →
ancient	4–13	0.01	18%	24 Jun →
inferno	13–8	-0.03	14%	24 Jun →
dust2	10–2	0.01	5%	24 Jun →
ancient	11–2	-0.04	8%	24 Jun →
mirage	13–9	-0.02	17%	22 Jun →
ancient	13–9	-0.06	2%	22 Jun →
mirage	5–13	-0.06	2%	21 Jun →
inferno	8–8	0.06	20%	21 Jun →
nuke	12–12	-0.05	10%	21 Jun →
nuke	13–11	-0.01	14%	21 Jun →
mirage	13–6	-0.01	21%	20 Jun →
inferno	12–12	-0.04	11%	18 Jun →
dust2	13–8	0.09	19%	18 Jun →
inferno	12–12	-0.02	14%	17 Jun →
mirage	13–2	0.19	15%	17 Jun →
anubis	13–7	0.01	16%	17 Jun →
mirage	8–13	0.02	14%	16 Jun →
dust2	8–13	-0.01	16%	16 Jun →
cache	13–10	-0.04	10%	15 Jun →
mirage	16–12	-0.01	20%	15 Jun →
cache	13–8	-0.05	16%	15 Jun →
mirage	5–13	-0.04	14%	14 Jun →
inferno	13–1	0.01	7%	14 Jun →
mirage	13–11	-0.02	5%	14 Jun →
overpass	5–13	0.01	19%	14 Jun →
dust2	4–13	-0.09	8%	14 Jun →
dust2	13–4	0.02	19%	14 Jun →
dust2	13–9	-0.03	13%	13 Jun →
dust2	11–13	-0.00	17%	13 Jun →
dust2	13–4	0.05	19%	13 Jun →
anubis	7–13	-0.01	8%	12 Jun →
nuke	10–13	-0.06	7%	12 Jun →
inferno	13–6	0.02	23%	12 Jun →
mirage	5–13	-0.05	14%	11 Jun →
dust2	13–3	0.10	36%	11 Jun →
ancient	13–3	-0.03	14%	11 Jun →
dust2	13–8	0.03	20%	10 Jun →
inferno	13–11	-0.03	16%	10 Jun →
inferno	0–9	-0.22	0%	10 Jun →
inferno	9–0	0.01	33%	10 Jun →
inferno	13–8	0.00	23%	10 Jun →
train	13–8	-0.06	8%	10 Jun →
overpass	7–13	-0.04	38%	9 Jun →
dust2	3–13	-0.04	17%	9 Jun →
mirage	4–13	-0.08	10%	9 Jun →
nuke	13–6	0.06	15%	9 Jun →
inferno	9–13	-0.03	7%	9 Jun →
dust2	13–5	0.07	29%	9 Jun →
mirage	6–13	-0.04	14%	9 Jun →
nuke	16–14	0.07	19%	9 Jun →
ancient	11–13	0.04	7%	8 Jun →
vertigo	6–13	-0.09	15%	8 Jun →
overpass	2–13	-0.04	16%	8 Jun →
cache	13–6	0.07	34%	7 Jun →
inferno	13–11	0.01	16%	7 Jun →
mirage	8–13	-0.01	13%	7 Jun →
dust2	13–9	-0.04	34%	7 Jun →
nuke	9–13	-0.03	17%	6 Jun →
ancient	13–16	-0.00	12%	6 Jun →
anubis	13–10	-0.02	10%	5 Jun →
dust2	13–6	-0.01	24%	5 Jun →
inferno	13–9	-0.02	13%	5 Jun →
mirage	12–12	0.08	21%	5 Jun →
cache	4–13	-0.04	22%	4 Jun →
dust2	9–13	-0.02	23%	4 Jun →
anubis	13–8	-0.02	8%	4 Jun →
dust2	13–6	0.18	25%	4 Jun →
vertigo	3–10	-0.09	0%	3 Jun →
inferno	7–13	0.02	18%	3 Jun →
mirage	16–12	-0.03	11%	2 Jun →
ancient	10–13	-0.04	6%	2 Jun →
nuke	6–1	-0.03	30%	1 Jun →
dust2	2–13	-0.06	10%	1 Jun →
nuke	10–13	-0.04	2%	31 May →
mirage	13–4	0.04	11%	31 May →
dust2	6–13	-0.06	3%	31 May →
mirage	13–5	0.00	6%	31 May →
anubis	5–13	-0.00	10%	31 May →
dust2	13–8	-0.04	18%	31 May →
dust2	11–13	0.02	14%	31 May →
mirage	4–13	-0.04	14%	31 May →
mirage	13–11	-0.03	8%	27 May →
dust2	13–8	0.07	18%	27 May →
train	13–9	0.04	17%	26 May →
dust2	13–3	0.02	5%	25 May →
mirage	13–2	-0.05	18%	25 May →
dust2	9–13	-0.02	24%	25 May →