TOOMVCHSAVCE

TOOMVCHSAVCE — CS2 Stats

US76561198215075275[U:1:254809547]Steam profile ↗✓ No bans

764Tracked matches45%Win rate2020Tracked since
2,479Hours in CS1Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 7,080 -4,974 10 Aug – 19 Jan · 14 days played
6,72312,054peak 12,05410 Aug19 Jan
12,054Peak Premier in tracked matches
50Days played since 2025-08-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,185), 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.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate34.4%44.8%45.7%11.3% short
Shot accuracy19.3%12.4%12.7%above
Kill/death ratio1.281.031.05above
Match win rate40.1%45.2%45.7%5.6% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTOOMVCHSAVCEFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning68
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY40–52–8Last 10040%Win rateWLLLWLWWWW

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating · −1.0pp headshot accuracy · +16ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 23%
  • Avg reaction 502ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 493ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 485ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim7.9
Utility1.8
Positioning6.8
Opening Duels5.7
Clutch3.6

Limited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

s1mple

Plays most like s1mple 77% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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.

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

Aim7.9
Positioning6.8
Utility1.8
Mechanics5.2
Opening Duels5.9
Win Impact3.3

Composite 5.7/10 (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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time497ms−78ms
first ⅓ avg 575ms → last ⅓ avg 497ms
Headshot accuracy19.4%+3.2%
first ⅓ avg 16.1% → last ⅓ avg 19.4%

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.

Personal bests

0.19Best match rating · 13–1 · inferno, 1 Oct →
75%Best headshot accuracy · 9–1 · inferno, 4 Oct →
375msFastest reaction time · 11–13 · ancient, 25 Sept →
13–1Biggest win · inferno, 1 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

overpassBest map · 80% over 5mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
ancientD143–1121%0.01
infernoC135–838%0.02
nukeA116–555%0.01
trainA106–460%0.03
dust2B105–550%0.04
mirageD91–811%0.01
anubisD72–529%-0.01
vertigoC73–443%-0.01
overpassS54–180%0.02
cache—42–250%0.03
grail—40–40%-0.02
office—32–167%0.05
poseidon—11–0100%0.09
debris—10–10%-0.25
brewery—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,738Lifetime kills
1.28K/D · Top 25% of Level 6 players
7,592Matches
40.1%Match win rate
34.4%Headshot %
19.3%Shot accuracy · Top 5% of Level 6 players
10,872MVPs
1,429Hours (in match)
3,864Bombs planted
767Bombs defused

Most-used weapons

SSG 0820,435
AWP11,265
AK-4710,005
XM10148,590
P904,319
MP74,081
Knife3,551

Lifetime map wins

4,665dust2
3,475inferno
2,154lake
1,764safehouse
1,494ar_shoots
1,482nuke
1,161vertigo
849train

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

Faceit stats

Combat

101Matches
55%Win rate
1.00Avg K/D
70.0ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
15%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient2357%0.9013.7
Nuke1070%1.0013.4
Anubis978%0.9814.1
Dust2540%1.3116.0
Inferno475%1.2415.0
Overpass2100%1.3814.5
Vertigo1100%0.7311.0
Train1100%0.6210.0

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.

20.1%Headshot accuracy
36.3%Accuracy (enemy spotted)
41.1%Spray accuracy
73.3%Counter-strafing
10.1°Preaim
491msReaction time
52.3%T opening success
55.2%CT opening success
0.40Enemies flashed / flash
0.0%Flash assists
8.65HE damage / grenade
0.63Flashes / 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.

  1. 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 0.3969 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–6-0.0524%10 Oct →
train8–13-0.0226%10 Oct →
ancient7–130.0621%3 Oct →
anubis8–130.1125%2 Oct →
dust213–70.1818%2 Oct →
anubis10–13-0.0314%2 Oct →
overpass13–70.0319%27 Sept →
vertigo13–110.0725%27 Sept →
vertigo13–90.0211%27 Sept →
train13–80.0816%27 Sept →
cache11–13-0.069%26 Sept →
ancient11–130.0419%25 Sept →
ancient10–13-0.027%24 Sept →
mirage6–13-0.0937%24 Sept →
ancient11–130.0118%24 Sept →
inferno11–130.0142%4 Sept →
nuke7–130.0918%4 Sept →
anubis13–7-0.0617%4 Sept →
mirage12–120.0729%31 Aug →
inferno1–130.0513%31 Aug →
inferno2–9-0.194%31 Aug →
dust213–50.0618%30 Aug →
ancient9–13-0.0117%28 Aug →
train13–50.0319%28 Aug →
vertigo3–0-0.0125%28 Aug →
inferno9–130.0121%27 Aug →
office13–70.0127%26 Aug →
cache13–50.1421%26 Aug →
nuke9–13-0.0016%26 Aug →
mirage10–13-0.0313%25 Aug →
dust213–6-0.0224%17 Aug →
anubis15–15-0.0414%16 Aug →
train9–130.0612%15 Aug →
ancient14–160.0219%11 Aug →
anubis13–90.0110%11 Aug →
ancient13–50.0825%10 Aug →
poseidon9–70.0927%10 Aug →
cache13–16-0.0415%9 Aug →
anubis10–13-0.0219%9 Aug →
cache13–60.1025%9 Aug →
mirage9–130.0622%9 Aug →
office12–120.1526%8 Aug →
dust25–130.0317%8 Aug →
debris2–9-0.2516%8 Aug →
vertigo3–13-0.0413%31 Jul →
vertigo8–13-0.0119%31 Jul →
vertigo4–13-0.0119%31 Jul →
vertigo3–13-0.0656%31 Jul →
anubis9–13-0.0624%2 Jul →
inferno6–13-0.0624%2 Jul →
dust29–130.0832%2 Jul →
dust26–13-0.0531%16 Jun →
ancient7–13-0.0119%13 Jun →
nuke9–50.0413%29 Mar →
train13–40.1821%19 Jan →
mirage13–100.0817%17 Jan →
dust212–120.0418%19 Nov →
nuke9–70.0411%15 Nov →
inferno9–60.1316%15 Nov →
inferno8–80.018%15 Nov →
nuke9–130.0114%9 Nov →
nuke13–7-0.0110%9 Nov →
office13–9-0.0115%4 Oct →
inferno9–10.0175%4 Oct →
ancient7–13-0.0124%2 Oct →
overpass13–80.0924%1 Oct →
inferno13–10.1920%1 Oct →
inferno13–100.0226%1 Oct →
dust23–20.025%30 Sept →
brewery8–8-0.0213%21 Sept →
grail12–120.0224%21 Sept →
nuke12–12-0.0312%18 Sept →
mirage4–13-0.0117%4 Sept →
inferno13–20.1320%4 Sept →
overpass8–13-0.030%4 Sept →
grail8–13-0.0513%30 Aug →
ancient6–130.0122%30 Aug →
mirage8–13-0.0636%29 Aug →
grail6–13-0.0512%29 Aug →
nuke9–13-0.069%29 Aug →
train10–130.0317%28 Aug →
grail7–130.0125%28 Aug →
ancient13–40.0420%27 Aug →
train13–11-0.0119%27 Aug →
ancient11–130.0315%23 Aug →
train16–12-0.026%21 Aug →
mirage8–13-0.009%21 Aug →
overpass13–70.0117%20 Aug →
ancient13–11-0.0121%18 Aug →
nuke13–90.039%17 Aug →
overpass13–5-0.0215%17 Aug →
nuke13–50.0319%17 Aug →
nuke13–3-0.0123%15 Aug →
ancient10–13-0.0320%15 Aug →
inferno5–13-0.098%11 Aug →
train9–130.0212%11 Aug →
mirage7–130.0113%11 Aug →
dust213–100.0321%10 Aug →
dust210–130.0118%10 Aug →
inferno11–130.0518%10 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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