| RePtILe | — CS2 Stats

DE76561198862266857[U:1:902001129]Steam profile ↗✓ No bans

546Tracked matches45%Win rate2020Tracked since

2,743Hours in CS0Hrs last 2 wks

CSDB Rating5.8 SolidAggressive Rifler

Premier CS Rating14,148Blue band · top ~32.9% of ranked players (population est.)

CSDB Leaderboard#18093 of 27626 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	32.2%	41.7%	44.1%	11.9% short
Shot accuracy	19.7%	8.8%	11.4%	above
Kill/death ratio	1.33	0.97	1.03	above
Match win rate	44.1%	43.8%	45.2%	1.1% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple 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

Aim72

Positioning59

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateLWLWWLLWLL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.2

Aggression9.6

Utility4.0

Positioning5.9

Opening Duels5.4

Excellent counter-strafingLimited utility dependence

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 ropz 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 714ms 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

Aim7.2

Positioning5.9

Utility4.0

Mechanics8.7

Opening Duels5.4

Win Impact3.3

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time706ms−28ms

first ⅓ avg 734ms → last ⅓ avg 706ms

Headshot accuracy17.2%−4.9%

first ⅓ avg 22.0% → last ⅓ avg 17.2%

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

0.13Best rating — inferno 13–4

13–1Biggest win — dust2

5Longest win streak

3–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 56% over 16anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	20	9–11	45%	0.01
ancient	C	20	8–12	40%	0.00
inferno	C	16	7–9	44%	0.02
nuke	A	16	9–7	56%	0.03
anubis	D	11	3–8	27%	0.00
cache	C	9	4–5	44%	0.04
mirage	C	8	3–5	38%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,758Lifetime kills

1.33K/D · Top 5% of Blue band

3,666Matches

44.1%Match win rate · Top 50% of Blue band

32.2%Headshot %

19.7%Shot accuracy · Top 5% of Blue band

11,136MVPs

1,545Hours (in match)

3,849Bombs planted

1,199Bombs defused

Most-used weapons

AWP33,301

AK-4717,559

M4A4 / M4A1-S9,799

P2000 / USP-S5,334

Desert Eagle4,106

Glock-183,640

MP92,068

Galil AR1,590

SG 5531,127

P901,009

Lifetime map wins

26,541dust2

1,792inferno

1,460nuke

1,060vertigo

317train

146lake

27stmarc

26cbble

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.

17.7%Headshot accuracy

36.4%Accuracy (enemy spotted)

34.9%Spray accuracy

89.0%Counter-strafing

7.8°Preaim

714msReaction time

59.0%T opening success

44.1%CT opening success

0.45Enemies flashed / flash

3.9%Flash assists

8.38HE damage / grenade

3.16Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 714.1223ms — above the 700ms mark we flag
Aim Training →
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 0.4473 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	4–13	0.07	24%	10 Aug →
inferno	13–11	0.02	21%	9 Aug →
nuke	11–13	0.09	19%	8 Aug →
dust2	13–3	0.06	28%	8 Aug →
dust2	13–8	0.03	24%	8 Aug →
anubis	2–13	0.01	9%	8 Aug →
nuke	8–13	0.12	20%	7 Aug →
inferno	13–11	0.02	15%	7 Aug →
ancient	9–13	-0.06	24%	7 Aug →
nuke	7–13	-0.01	13%	2 Aug →
inferno	15–15	-0.01	20%	2 Aug →
anubis	13–6	0.00	15%	2 Aug →
ancient	13–7	0.00	10%	2 Aug →
mirage	6–13	-0.02	15%	1 Aug →
dust2	5–13	0.02	11%	1 Aug →
ancient	13–8	0.11	26%	1 Aug →
cache	11–13	0.06	19%	31 Jul →
ancient	5–13	-0.03	14%	31 Jul →
dust2	7–13	0.10	11%	30 Jul →
ancient	7–13	0.00	8%	30 Jul →
nuke	13–10	0.01	20%	29 Jul →
cache	10–13	0.05	19%	29 Jul →
inferno	9–13	-0.00	13%	29 Jul →
mirage	13–3	0.05	25%	29 Jul →
dust2	13–2	0.07	18%	29 Jul →
anubis	13–5	-0.04	21%	28 Jul →
inferno	9–13	-0.02	9%	28 Jul →
nuke	13–9	0.02	17%	28 Jul →
ancient	9–13	0.00	29%	28 Jul →
mirage	13–4	0.03	12%	28 Jul →
anubis	13–9	0.08	17%	28 Jul →
ancient	13–8	-0.02	9%	27 Jul →
nuke	9–13	0.01	11%	27 Jul →
dust2	13–10	0.00	22%	27 Jul →
nuke	16–13	0.08	20%	27 Jul →
dust2	7–13	-0.05	32%	27 Jul →
inferno	9–13	0.00	20%	26 Jul →
ancient	15–15	0.07	16%	26 Jul →
nuke	7–13	-0.02	39%	26 Jul →
cache	13–9	0.03	28%	26 Jul →
cache	13–10	-0.00	14%	25 Jul →
ancient	13–10	-0.01	32%	25 Jul →
inferno	9–13	0.11	13%	25 Jul →
anubis	11–13	-0.03	13%	25 Jul →
ancient	13–3	0.05	13%	25 Jul →
dust2	13–1	0.05	22%	25 Jul →
nuke	13–7	-0.01	11%	24 Jul →
nuke	13–5	-0.00	18%	24 Jul →
dust2	13–7	-0.02	16%	24 Jul →
ancient	5–13	0.01	20%	24 Jul →
dust2	3–13	-0.05	17%	24 Jul →
mirage	1–13	-0.06	22%	24 Jul →
dust2	5–13	0.03	15%	22 Jul →
anubis	8–13	0.09	28%	22 Jul →
ancient	16–12	0.02	23%	22 Jul →
inferno	9–13	0.04	22%	21 Jul →
inferno	13–9	0.02	18%	21 Jul →
nuke	13–10	0.03	15%	21 Jul →
ancient	13–8	0.09	23%	21 Jul →
inferno	13–10	0.01	22%	21 Jul →
mirage	9–13	0.08	28%	20 Jul →
ancient	11–13	-0.05	30%	20 Jul →
dust2	13–7	0.03	21%	20 Jul →
anubis	8–13	0.00	15%	20 Jul →
anubis	8–13	-0.07	26%	20 Jul →
ancient	10–13	-0.03	16%	20 Jul →
inferno	13–6	0.04	23%	19 Jul →
nuke	13–5	0.07	16%	19 Jul →
ancient	6–13	-0.06	13%	19 Jul →
inferno	11–13	-0.00	27%	17 Jul →
inferno	6–13	-0.03	26%	17 Jul →
dust2	5–13	-0.07	15%	16 Jul →
mirage	4–13	-0.01	15%	16 Jul →
nuke	10–13	0.05	24%	16 Jul →
mirage	9–13	0.03	18%	16 Jul →
dust2	15–15	-0.03	21%	12 Jul →
anubis	5–13	-0.02	19%	11 Jul →
ancient	3–13	0.03	26%	11 Jul →
cache	13–3	0.07	22%	11 Jul →
nuke	4–13	-0.01	15%	10 Jul →
ancient	8–13	-0.00	18%	10 Jul →
nuke	13–5	0.07	21%	10 Jul →
anubis	4–13	-0.05	13%	10 Jul →
inferno	13–9	-0.01	22%	10 Jul →
cache	13–6	0.04	39%	10 Jul →
nuke	13–11	-0.02	14%	10 Jul →
ancient	13–8	-0.03	17%	9 Jul →
dust2	10–13	-0.06	20%	9 Jul →
inferno	3–13	-0.05	25%	9 Jul →
dust2	13–10	0.00	33%	9 Jul →
inferno	13–4	0.13	24%	9 Jul →
ancient	7–13	0.00	20%	8 Jul →
dust2	11–13	0.01	20%	8 Jul →
mirage	13–4	0.05	25%	8 Jul →
dust2	11–13	0.01	19%	7 Jul →
cache	8–13	0.00	34%	7 Jul →
cache	11–13	0.08	15%	7 Jul →
dust2	3–13	-0.06	44%	6 Jul →
cache	12–12	0.06	27%	6 Jul →
dust2	13–8	0.03	19%	6 Jul →